Next Article in Journal
A Four Laws Structure for Looking at Economics through the Eyes of Thermodynamics
Next Article in Special Issue
Research Progress on Characteristics of Marine Natural Gas Hydrate Reservoirs
Previous Article in Journal
State of Health Estimations for Lithium-Ion Batteries Based on MSCNN
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Impacts and Countermeasures of Present-Day Stress State and Geological Conditions on Coal Reservoir Development in Shizhuang South Block, Qinshui Basin

School of Energy Resources, China University of Geosciences (Beijing), Beijing 100083, China
*
Author to whom correspondence should be addressed.
Energies 2024, 17(17), 4221; https://doi.org/10.3390/en17174221
Submission received: 21 July 2024 / Revised: 16 August 2024 / Accepted: 21 August 2024 / Published: 23 August 2024

Abstract

This study investigates the reservoir physical properties, present-day stress, hydraulic fracturing, and production capacity of No. 3 coal in the Shizhuang south block, Qinshui Basin. It analyzes the control of in situ stress on permeability and hydraulic fracturing, as well as the influence of geo-engineering parameters on coalbed methane (CBM) production capacity. Presently, the direction of maximum horizontal stress is northeast–southwest, with local variations. The stress magnitude increases with burial depth, while the stress gradient decreases. The stress field of strike-slip faults is dominant and vertically continuous. The stress field of normal faults is mostly found at depths greater than 800 m, whereas the stress field of reverse faults is typically found at depths shallower than 700 m. Permeability, ranging from 0.003 to 1.08 mD, is controlled by in situ stress and coal texture, both of which vary significantly with tectonics. Hydraulic fracturing design should consider variations in stress conditions, pre-existing fractures, depth, structural trends, and coal texture, rather than employing generic schemes. At greater depths, higher pumping rates and treatment pressures are required to reduce fracture complexity and enhance proppant filling efficiency. The Shizhuang south block is divided into five zones based on in situ stress characteristics. Zones III and IV exhibit favorable geological conditions, including high porosity, permeability, and gas content. These zones also benefit from shorter gas breakthrough times, relatively higher gas breakthrough pressures, lower daily water production, and a higher ratio of critical desorption pressure to initial reservoir pressure. Tailored fracturing fluid and proppant programs are proposed for different zones to optimize subsequent CBM development.

1. Introduction

The capacity of coalbed methane (CBM) wells is a crucial indicator for evaluating CBM projects. Geological factors, such as in situ stress, reservoir properties, sedimentary conditions, burial depth, and hydrological conditions, significantly influence CBM productivity [1,2,3,4,5,6]. Engineering factors, including completion techniques, well placement, hydraulic fracturing design, drilling, and production regulation, also play vital roles [7,8,9,10,11]. Among these, reservoir properties, tectonic stress, and hydraulic fracturing design are paramount for CBM production [12].
In China, the complex tectonic movements across various coal-bearing basins result in diverse in situ stress distributions and CBM reservoir properties [13,14,15,16,17]. This complexity necessitates distinct hydraulic fracturing schemes for effective development. In situ stress comprises overburden pressure and tectonic stress. While vertical stress gradients remain relatively constant due to gravity, tectonic stresses are variable and spatially heterogeneous [18]. Different stress states—normal fault, reverse fault, and strike-slip fault—are distinguished by the magnitudes of horizontal and vertical stresses [19]. Regional plate movements typically dictate the dominant stress state and orientation [20].
The orientation, state, and magnitude of stress vary across geological units [21,22,23,24]. Researchers employ borehole measurements, geophysical surveys, and tectonic–geological studies to examine present-day stresses [25,26,27,28]. Identifying in situ stress distributions is critical for assessing coal permeability variations and CBM zonation [29,30,31]. Present stress regimes, magnitudes, and orientations affect in situ permeability by influencing the connectivity, length, and width of natural fracture systems [32]. In CBM gas development, horizontal stress differentials and orientations are crucial for configuring hydraulically induced fractures and ensuring borehole stability [33]. Higher horizontal stress differentials lower breakdown pressure, leading to simpler hydraulic fracture shapes, while lower stress differentials favor complex fracture networks [34,35]. Natural fractures in coal reservoirs can also impact hydraulic fracture propagation under varying stress conditions [36,37].
The Shizhuang south block in the Qinshui Basin, China, with over 1300 production wells, provides substantial data for analyzing the present-day stress state and coal reservoir characteristics and their impacts on CBM development and hydraulic fracturing [38,39,40]. This study comprehensively collects geological, engineering, and production data from the Shizhuang south block. Inversion models are used to systematically analyze the distribution of in situ stress and coal reservoir parameters. The study discusses how these factors influence coal reservoir properties and hydraulic fracturing in the context of tectonic trends. Finally, it offers engineering optimization suggestions for the Shizhuang south block.

2. Geological Settings

Situated in northern China, the Qinshui Basin is a sizable syncline basin with a symmetrical, double-sided structure, encompassing an area of 23,500 km2 [41] (Figure 1a). The Shizhuang south blockis located in the southern part of the Qinshui Basin and can be divided into five structural units, and the data used for the modeling in this study came primarily from Zones 2, 3, and 5 (Figure 1b). The primary coal-bearing strata are the Taiyuan Formation of the Upper Carboniferous and the Shanxi Formation of the Lower Permian, consisting mainly of coal seams, mudstone, limestone, sandstone, and siltstone [38] (Figure 1c). The most consistent recoverable coal seams in the basin are coal seam No. 3 (3–9 m) from the Shanxi Formation and coal seam No. 15 (2–8 m) from the Taiyuan Formation, which are the main focus for CBM exploration and extraction. This study analyzes the Shizhuang south block, an area that has been extensively explored with comprehensive data available.
The basin has experienced various tectonic movements since the Carboniferous–Permian period, including the Indosinian, Yanshanian, and Himalayan phases [42]. During the Indosinian movement, the basin underwent north–south tectonic compression without significant geological structures forming. In the Yanshanian period, a SEE-NWW compression stress field caused broad, flat folds and a set of small-scale normal faults oriented NE-NNE. In the early Himalayan period, the tectonic stress shifted from a reversed to a tension stress field in the SEE-NWW orientation, later transitioning to compression in the NEE-SWW direction during the mid–late Himalayan period, resulting in a series of faults [43].
Since the Quaternary neotectonic period, the strata have been under a horizontal compressive force oriented NE-SW, aligning with the Taihang and Huoshan Mountains. This tectonic stress pattern remains constant today. The prevailing stress influencing the Qinshui Basin mainly originates from the Pacific Plate subducting beneath Western Eurasia and the Philippine Plate subducting under the Eurasian landmass. Consequently, the orientation of the maximum horizontal stress (σH) in the basin (NE 40~70°) aligns with the principal stress trajectory of China [44] (Figure 2).

3. Methodology

Data on gas content, in situ stress, core samples, hydraulic fracturing, 3D seismic information, production data, porosity, permeability, fracture monitoring, and logging curves were obtained from CBM wells in the region, courtesy of the China United Coalbed Methane Corporation. According to China National Standard GB/T 24504-2009 [46], 16 pore pressure and 16 permeability data points were measured at depths of 558 to 1227 m using the injection/fall-off well test. Multi-loop hydraulic fracturing, following China Industry Standard DB/T 14-2018 [47], was performed on 95 CBM wells to obtain shut-in pressure (ps) and breakdown pressure (pf) data in megapascals. Additionally, 53 porosity data points were measured at depths of 451 to 1154 m according to China National Standard GB/T 29172-2012 [48]. A total of 447 gas content data points, measured using the natural desorption method, were collected at depths of 451 to 1349 m according to China National Standard GB/T 19559-2021 [49]. Coal texture discrimination was conducted on 428 core samples from 28 wells, following China National Standard GB/T 30050-2013 [50]. Since the number of data points was insufficient to cover the entire work area, inversion of coal reservoir parameters is required for comprehensive modeling.
The water injection/well drop test recorded the change in bottomhole pressure over time, and parameters such as initial reservoir pressure and permeability were calculated using linear analysis and plate matching methods. Four cycles of in situ stress measurements were performed, recording the pf in each cycle, and the pressure drop data were obtained by shutting down the well and calculating ps using the square root of time method.
Stress regimes are commonly represented by σH, with the minimum stress (σh) and the vertical stress (σv). The ps denotes the minimum bottomhole pressure necessary to maintain the openness of pre-existing fractures, analogous to the normal stress exerted on the vertical fracture surface of rocks [51]:
σ h = p s
For a vertical borehole, the estimation of σH can be achieved through the following equation, assuming the rocks demonstrate impermeability, homogeneity, isotropy, and elasticity [52]:
σ H = 3 p s p f p o
where po represents the reservoir pressure.
Multi-loop hydraulic fracturing is an effective approach for assessing in situ stress within deep rock formations [53]. The Kaiser effect is also a reliable technique for identifying stress conditions through acoustic emission (AE) tests and uniaxial compression conducted on drilling cores [54,55]. Chen et al. demonstrated that multi-loop hydraulic fracturing yields outcomes comparable to Kaiser effect stress tests, verifying the method’s reliability [1]. The σv is influenced by the thickness and density of overlying layers, with a nearly linear relationship between its magnitude and depth:
σ v = 0 H ρ H g d H
where ρ represents the density, kg/m3 and g represents the gravitational acceleration, m/s2.
If density logging data are unavailable, a vertical stress gradient of 0.025 MPa/m can approximate σv in the Qinshui Basin, aligning with findings from stress relief measurements in underground coal mines in China [56].
Data on hydraulic fracturing from 95 CBM production wells at depths of 549 to 891 m were gathered from the Shizhuang south block. This information includes details on pf, ps, fracturing fluid volume, proppant concentration, and displacement, along with data on coal depth and thickness:
σ h = v 1 v σ v α P o + E ξ h 1 v 2 + v E ξ H 1 v 2 + α P o
σ H = v 1 v σ v α P o + E ξ H 1 v 2 + v E ξ h 1 v 2 + α P o
ξ h = σ h α P o v σ H + σ v 2 α P o E
ξ H = σ H α P o v σ h + σ v 2 α P o E
where v represents the Poisson’s ratio; α represents the Biot coefficient; ξ H represents the maximum horizontal tectonic strain; ξ h represents the minimum horizontal tectonic strain factor; and E represents the Young’s modulus.
Based on the measured horizontal principal stress, the horizontal tectonic strain is determined. The findings indicate a positive relationship between the horizontal tectonic strain factor and burial depth (Figure 3). A linear conversion equation between burial depth and the horizontal tectonic strain factor is established to calculate in situ stress values for each well in the study area.
ξ H = 0.000   003 × D e p t h 0.000   6
ξ h = 0.000   000   6 × D e p t h 0.000   4
Micro-seismic monitoring was conducted on eight wells, ranging in depth from 672 to 982 m, to observe hydraulic fracturing development. Prior to fracturing operations, six high-sensitivity seismic sensors were positioned around the well to detect and capture micro-seismic wave signals generated by fractures within the coal seam. These signals were transformed and used to determine the fracture source’s position, with the fracture patterns, directions, and sizes characterized by analyzing the spatial arrangement of seismic source locations.
Fractured coal reservoirs can be classified into three ideal models: a collection of sheets (Model I, Figure 4a), a bundle of matchsticks (Model II, Figure 4b), and a collection of cubes (Model III, Figure 4c) [57]. Model I is particularly suitable for depicting high-rank coals, such as anthracite [58]. The fracture permeability of Model I can be calculated using the equation proposed by Hou [59]:
k f = 8.50 × 10 4 w 2 φ f
where k f represents fracture permeability; w represents fracture width; φ f represents fracture porosity.
Using logging data, permeability inversion of the coal reservoir in the Shizhuang south block was conducted. The fracture width calculation utilized the improved formula introduced by Li et al. [60]:
1 R L L S 1 R L L D = w π m 1 R m f d 1 + r w m 1 R w d 2 + r w m
where R L L S and R L L D represent shallow and deep lateral resistivity, respectively; m represents the cementation index; R m f and R w represent the resistivity of mud and formation water, respectively; d 1 and d 2 represent the investigation radius of shallow and deep lateral logs, respectively; r w represents the radius of the wellbore.
The fracture porosity is calculated using Archie’s law and the method proposed by Chatterjee and Pal, with a cementation index of 1.6 and Rmf set at 0.65 Ω·m [61]:
φ f = R m f R L L S 1 m = 0.65 R L L S 1 1.6
The overall bulk density of coal is determined by the coal skeleton density and the presence of fluids such as water and hydrocarbons. The impact of fluids on the total density is directly linked to coal porosity. Thus, the density (DEN) log response can measure coal porosity. The effective porosity can be determined using the formula provided by Asquith et al. [62]:
φ D = ρ m a ρ b ρ m a ρ f l
where φ D represents the density-derived porosity; ρ m a represents the matrix density; ρ b represents the formation bulk density; ρ f l represents the fluid density.
Various physical properties display distinct characteristics in logging responses. For instance, low DEN, high caliper (CAL), and high acoustic time difference (AC) typically indicate fracture development, while high gamma (GR) usually indicates high clay content [63,64,65]. Generally, GR and DEN measurements decline as coal deforms, whereas LLD increases [66,67]. The correlation between logging curves and coal texture is utilized to establish a discriminant equation based on the Fisher discrimination criterion of IBM SPSS Statistics version 26.0 software:
F u n d e f o r m e d = 205.502 × D E N 0.069 × G R + 0.002 × L L D 155.346
F c a t a c l a s t i c = 195.953 × D E N 0.119 × G R + 0.003 × L L D 143.129
F g r a n u l a t e d = 182.551 × D E N 0.103 × G R + 0.003 × L L D 120.767
F c a t a c l a s t i c = 266.255 × D E N 0.037 × G R + 0.002 × L L D 265.722
Geological, property, and geomechanical models of the coal reservoir in the Shizhuang south block were developed using Schlumberger’s Petrel software (version 2021). Detailed steps for software modeling and parameter settings are referenced [68].

4. Results

4.1. Stress Magnitudes

The No. 3 coal seam in the Shizhuang south block ranges from 491 m to 1175 m in depth. The σv (or pf) ranges from 10.02 to 31.72 MPa, with a gradient of 2.00 to 3.16 MPa/100 m. The σh (or ps) ranges from 5.29 to 18.47 MPa, exhibiting a gradient of 0.89 to 3.14 MPa/100 m. The σH ranges from 8.43 to 30.81 MPa, with a gradient of 1.46 to 5.14 MPa/100 m. These stress parameters ( p o , σH, and σh) increase linearly with depth. Notably, significant stress gradient values are observed around 550 m depth, where the σh gradient surpasses the vertical stress gradient, indicating substantial tectonic stress in the horizontal direction.
The stress regimes, influenced by both the magnitudes and gradients of change, lead to varying stress distributions across different depths. In the Shizhuang south block, the predominant stress regime is characterized by a strike-slip fault, accounting for 66.4% of the total and spanning depths from 491 m to 1175 m. The normal fault stress regime represents 26.1% and is primarily observed at depths greater than 800 m. The reverse fault stress regime, comprising 7.5%, is predominantly observed at depths shallower than 600 m. Shallow depths (<600 m) exhibit a lack of a normal fault stress regime, suggesting high structural stress. A small amount of data (14%) indicates a normal fault stress regime at depths between 600 m and 800 m, dominated by a strike-slip fault stress regime (78%). Beyond 800 m, the magnitudes of horizontal stress diminish, with a minority of data suggesting a reverse fault stress regime and the majority (52%) indicating a normal fault stress regime. The lateral pressure coefficient (k), defined as the ratio of the average of σH and σh to σv, ranges from 0.48 to 1.63, with 40% of the values exceeding 1 (Figure 5e). As depth increases, changes in σHv, σhv, and k typically correspond to shifts in stress regimes, with an overall decreasing trend.
Horizontal stress differentials are crucial for hydraulic fracturing of unconventional reservoirs and are influenced by stress regime variations [69]. Horizontal stress differences in coals, ranging from 5.8 to 13.0 MPa, generally increase with depth (Figure 6a). However, these differences vary significantly across stress regimes. The reverse fault stress regime demonstrates the greatest horizontal stress disparities (7.26 to 13.03 MPa) at the same depth, followed by the strike-slip fault stress regime (6.00 to 12.68 MPa). The normal fault stress regime displays the lowest values (5.83 to 10.32 MPa), indicating the strength of tectonic stress.
In the Shizhuang south block, reservoir pressure ranges from 1.92 to 5.62 MPa, averaging 3.51 MPa. The pressure gradient of the coal reservoirs is 0.34 to 0.57 MPa/100 m, classifying it as an under-pressure reservoir (<0.9 MPa/100 m). Based on fault stress regimes, the Shizhuang south block is divided into five in situ stress zones, all dominated by the strike-slip fault stress type (Figure 7). The fault stress regimes of the CBM wells in each zone show that zones I (Figure 8a) and IV (Figure 8d) have the distribution characteristics of strike-slip fault stress type > normal fault stress type > reverse fault stress type. Zone II (Figure 8b) shows strike-slip fault stress type ≈ normal fault stress type > reverse fault stress type. Zones III (Figure 8c) and V (Figure 8e) are characterized by strike-slip fault stress type > reverse fault stress type > normal fault stress type.

4.2. Geological Parameters

4.2.1. Coal Permeability and Porosity

Figure 9 illustrates the in situ permeability of coal in the Shizhuang south block, which varies between 0.003 and 1.08 mD, with an average of 0.40 mD. Approximately 11.2% of the values are less than 0.1 mD, with a lower limit of about 0.01 mD. Typically, coal in situ permeability decreases with increasing depth. Within the depth range of the coal seams in the Shizhuang south block, permeability varies widely from 0.01 mD to 1 mD (Figure 9c). At depths less than 700 m, permeability rapidly decreases with increasing horizontal stress. Between 800 m and 1200 m, coal seam permeability remains low due to the stress mechanism of highly stressed strike-slip faults. Beyond 1000 m, permeability becomes highly variable with no discernible trend, likely due to the stress-release mechanism of normal faults. The porosity ranges from 2% to 12% (Figure 9b,d), with an average of 7.3%. At burial depths less than 800 m, porosity values exhibit a wider distribution, indicating strong heterogeneity in the coal rock. Beyond 800 m, porosity values become more concentrated, generally falling below 8%, likely due to compaction from increased σv. Overall, porosity decreases with increasing burial depth.

4.2.2. Coal Texture

Regionally, coal texture is influenced by both stress and tectonics. In the northwestern part of the Shizhuang south block, where burial depth is large and tectonic activity is significant, granulated coal is highly developed, especially near faults (Figure 10b). The central part of the block, with shallow burial depth and weak tectonic structure, shows a smaller proportion of granulated coal development. Undeformed coal is developed throughout the block and remains relatively stable (Figure 10a). Vertically, as burial depth and tectonic development increase, coal texture transitions from undeformed, cataclastic coal to cataclastic, granulated coal, resulting from increased stress and tectonic deformation (Figure 10c,d).

5. Discussion

5.1. Effects of In situ Stress and Coal Texture on Porosity and Permeability of Coal Reservoirs

Permeability and porosity in coal reservoirs are significantly influenced by in situ stress, with coal texture also playing a critical role [70,71,72,73]. Higher stress typically leads to compaction of the coal seam and closure of macroscopic pores and fractures, resulting in reduced porosity and permeability. At the same depth, compressive stresses under reverse and strike-slip faults lead to fault closure, which reduces pore spaces and fractures in coal reservoirs, decreasing coal seam permeability. Conversely, normal faults, formed under gravity and horizontal tension, are more conducive to the formation of highly permeable coal reservoirs.
Tectonic deformation macroscopically leads to structural fragmentation of coal texture and microscopically affects the macromolecular structure of coal, leading to the development of micropores and microfractures, which in turn affects porosity and permeability [74]. Coal seams located at tectonic high points experience tensile stresses, resulting in a fragile coal texture, whereas those at tectonic low points are influenced by extrusion stresses, resulting in a compact coal texture and reduced porosity and permeability. The coal reservoir in the Shizhuang south block is governed by various factors, as indicated by the limited correlation observed among permeability, porosity, and in situ stress (Figure 11).
The structural topographic map of coal seam No. 3 in the Shizhuang south block (Figure 12) shows the region on a slope dipping toward the northwest, with higher elevations in the southeast and lower elevations in the northwest. In the northwestern part of the block, near-north–south- and near-east–west-trending normal faults are well developed.
Figure 13 presents a cross-sectional view of seven testing wells in the Shizhuang south block, demonstrating variations in stress levels and permeability across various tectonic settings. These wells, less than 800 m deep, belong to shallow coal seams. Although some wells are located at tectonic high points (e.g., TS-1 and TS-5), the degree of tectonic deformation in the southeastern part is much smaller than in the northwestern part, resulting in slight or no deformation of the coal reservoirs. Thus, natural fractures are poorly developed, and the coal texture remains undeformed, leading to low in situ permeability. Conversely, wells TS-2 and TS-4, affected by nearby faults, exhibit cataclastic and granulated coal textures, with a well-developed natural fracture network, resulting in high in situ permeability.
This research examines the impact of tectonics on in situ stress by characterizing vertical in situ stress within the stratigraphy of the study area. The variation in in situ stress with burial depth in the study block can be categorized into three groups: stable increasing, stable–rapid–stable increasing, and stable–rapid increasing. As burial depth increases from shallow to deep, stress variations occur across different tectonic units. In the tectonic slope zone with shallow burial depth, in situ stress increases steadily with minimal fluctuations (Figure 14). At the microtectonic high point with shallow burial depth, stress increases insignificantly due to limited tectonic deformation (Figure 15). At greater burial depths and in areas of intense tectonic deformation, in situ stresses exhibit rapid increases and significant fluctuations (Figure 16).

5.2. The Effect of In situ Stress on Hydraulic Fracturing of CBM

The Qinshui Basin exhibits lower coal permeability than other coal-bearing basins, necessitating hydraulic fracturing to enhance reservoir flow capacity [75]. Understanding present-day stress magnitudes and regimes is crucial for effective hydraulic fracturing. Data from 95 CBM production wells revealed consistent construction parameters—sand-adding volume, fracturing fluid volume, sand concentration, and displacement rates—across different depth intervals (Figure 17). These findings indicate a standardized fracturing scheme, neglecting variations in depth and in situ stresses. This oversight in depth-related stress variations appears to be a significant technical factor contributing to the decline in gas productivity with increasing depth. Additionally, well fracture pressure and shut-in pressure are influenced by the in situ stress regime during fracturing, aligning with the trend of horizontal stress changes with depth (Figure 17d,e).
Micro-seismic monitoring data from eight wells were analyzed to evaluate the orientation and geometry of hydraulic fractures. Predominantly, fractures are oriented northeast to southwest, with some variations northwest to southeast and east to west, as shown in Table 1 and Figure 18. This orientation, consistent with the maximum principal stress trace in China, suggests that the current maximum horizontal stress orientation is primarily northeast–southwest, resulting from the combined action of the Pacific and Philippine plate subduction under the Eurasian plate. The effect of horizontal stress variations on hydraulic fracture morphology in fracture-developed reservoirs has been elucidated [76]. A high stress magnitude discrepancy generally leads to simple hydraulic fractures, while minimal discrepancy facilitates hydraulic fracture networks [77,78]. In coal cleats, parallel alignment of face cleats with the σH orientation results in longer hydraulic fractures under high stress difference conditions [79]. Fracture lengths in the study area decrease with increasing burial depth, as measured by micro-seismic monitoring wells. This indicates that increased vertical stress limits fracture expansion, making the same fracturing scheme unsuitable for areas with significant burial depth variation.
Hydraulic fracture morphology is contingent upon prevailing stress conditions and pre-existing fractures, influenced by structural trends and coal texture [80,81,82]. Coal texture distribution is strongly associated with structural characteristics. An analysis of a cross-section featuring four wells with coal core images obtained from drilling reveals that cataclastic and granulated coal are predominantly found near fault planes (e.g., TS-2 and TS-4), whereas undeformed coal is observed within folds (e.g., TS-1 and TS-5) [83] (Figure 13). In hydraulic fracturing, there is notable dispersion in micro-seismic events, with no discernible correlation between these events’ distribution and the dominant fracture orientation or maximum horizontal stress. Fracture geometry in cataclastic coals supports this observation. Hydraulic fractures in these circumstances are influenced by a combination of stress and existing fractures, resulting in fractures forming at various angles and orientations (Figure 19).
In wells like TS-13, located near fault planes, micro-seismic data sets exhibit a discontinuous and extensively distributed pattern. The primary fracture exhibits significant angles with its branches, along with parallel fractures. In contrast, in structurally low areas, predominant fracture and branch propagation occur along the maximum horizontal orientation due to elevated differential stresses, leading to a nearly straight arrangement of micro-seismic data, as observed in examples like TS-8 and TS-14. It is crucial to consider various fracturing schemes based on factors, such as burial depth, stress regimes, coal textures, and structural trends, rather than relying on standardized construction parameters. Deeper coal seams exhibit a higher propensity for intricate fractures, posing greater difficulties in sand filling. Mitigating complex fracture geometries in these regions requires higher pumping rates and treatment pressures compared to structural lows.
According to the CBM exploration and development theories during China’s “13th Five-Year Plan” and “14th Five-Year Plan,” the fracturing process for CBM has shifted from conventional fracturing to ultra-large-scale extreme volume fracturing. This transition has seen the operational scale evolve from medium–small displacement rates (7 to 12 m3/min), medium–small fluid volumes (<10,000 m3/well), and medium–small proppant volumes (30 to 70 m3/stage) to large displacement rates (14 to 18 m3/min), large fluid volumes (>20,000 m3/well), and large proppant volumes (300 to 450 m3/stage). The daily gas production from vertical and directional wells increased from 300–2000 m3/d to 3000–20000 m3/d, while the production from horizontal wells increased from 3000–10,000 m3/d to 30,000–100,000 m3/d [84]. In the Ordos Basin, CNPC has experienced a progression in deep CBM development from conventional fracturing (30 to 70 m3/stage of proppant, 7 to 12 m3/min displacement) to large-scale fracturing (170 to 300 m3/stage of proppant, 8 to 14 m3/min displacement), and finally to ultra-large-scale extreme volume fracturing (300 to 450 m3/stage of proppant, 14 to 18 m3/min displacement), with operational pressure increasing from 30 MPa to 60 MPa [85]. The average initial daily gas production per well in the Ordos Basin is 11 × 104 m3. For example, in the Daning–Jixian Block of deep coalbed methane, the average proppant scale in large-scale volume fracturing of vertical cluster wells is six times that of conventional fracturing wells. The average gas production and estimated ultimate recovery are 2.7 times and twice that of conventional fracturing wells, respectively. The Jishen 6–7 Ping 01 horizontal well, which underwent large-scale extreme volume fracturing with a single-stage fluid volume of 3000 m3, a proppant volume of 350 m3, and a displacement rate of 18 m3/min, achieved an average daily gas production of 5.82 × 104 m3, with a peak daily production of 10.1 × 104 m3. In the Zhengzhuang North-Qinnan West Block, where coal seam depths range from 650 to 1500 m and are similar to those in the study area, the fracturing fluid volume in vertical wells was increased from 500–800 m3 to 1300–2000 m3, the displacement rate was increased from 4–6 m3/min to 10–14 m3/min, and the proppant concentration was increased from 8% to 12–15%, resulting in an average single-well production increase of 1190 m3/d. In horizontal wells, large-scale, high-displacement fracturing technology was employed, increasing the single-stage fluid volume from 450–600 m3 to 2000 m3, the single-stage proppant volume from 30–50 m3 to 150 m3, and the displacement rate from 6 m3/min to 15 m3/min, leading to an average daily gas production increase from 8000 m3/d to 18,000 m3/d [86].

5.3. Statistics of Geo-Engineering Parameters in Different Stress Zones and Development Recommendations

Figure 20 highlights the influence of hydraulic fracturing and coal reservoir pore permeability on production capacity. In the Shizhuang south block, the No. 3 coal seam contains 731 vertical CBM production wells and 490 directional CBM production wells, collectively producing an average daily gas production rate of 299 m3/d per well. In contrast, single-branch horizontal wells exhibit a higher average production rate of 1892 m3/d. Horizontal wells are preferred for CBM production due to their ability to significantly alter coal reservoirs, establish intricate fracture networks, stimulate seeps, and ultimately enhance overall coal reservoir permeability.
High-producing wells are primarily found at depths below 800 m. These wells are situated in coal reservoirs with excellent porosity and permeability. In contrast, CBM wells at greater depths show minimal to no methane production, reflecting deteriorating geological conditions. Statistical results indicate that CBM wells in in situ stress zones III and IV have higher average daily gas production (Figure 21) and wells exceeding 1000 m3/d account for 13.2% and 19.4%, respectively. These wells are characterized by shorter gas breakthrough times, relatively higher gas breakthrough pressures, lower daily water production, and higher ratio of critical desorption pressure to initial reservoir pressure. The proportion of coalbed methane wells with gas breakthrough times less than 60 days in in situ stress zones III and IV reaches 33.5% and 31.3%, respectively.
The percentage of daily water production of CBM wells in in situ stress zones III and IV below 3 m3/d stand at 82.2% and 83.4%, while the percentage of gas breakthrough pressures ranging from 1 to 3 MPa are 69.3% and 56.0%. Additionally, the percentage of critical desorption pressure to initial reservoir pressure exceeding 0.6 are 22.1% and 19.0%. A high ratio of critical desorption pressure to initial reservoir pressure accelerates coalbed methane desorption by requiring a smaller reduction in coal reservoir pressure to reach critical desorption pressure. Low water production during drainage and pressure reduction indicates efficient pressure transfer in coal reservoirs, benefiting CBM production. Reduced water content in the coal reservoir enhances stability during the gas production phase.
In terms of geological parameters, in situ stress zones III and IV exhibit higher porosity, permeability, and gas content, with coal textures dominated by undeformed and cataclastic coals (Figure 22). High permeability indicates strong gas transmission capability, while high gas content suggests significant resource potential. The primary and fractured coal structures indicate that the coal reservoirs can be effectively fractured to increase permeability at later stages.
For zones I and II, characterized by high in situ stress and relatively broken coal texture, selecting fracturing fluids with low friction resistance is crucial to improving sand-carrying capacity. Viscoelastic surfactant clean fracturing fluid can prevent reservoir damage during hydraulic fracturing. Alternatively, variable-viscosity slickwater, combining the high bearing capacity of high-viscosity slickwater with the drag-reduction performance of traditional slickwater, can form an extensive proppant fracturing network and enhance production.
Regarding proppant selection, coal, as a low-permeability reservoir, typically has natural microfractures and the potential for additional microfractures during fracturing. Traditional proppants often fail to keep these small fractures open. Injecting nanosized proppant into the reservoir can fill microfractures along the main fracture before injecting conventional fracturing proppant, effectively supporting the microfractures. For zones III and IV, low-density proppants with decreased density or hollow structures can be used to enhance fracture creation. Zone V, with lower gas content, is less economical to develop but can be considered a potential future development area.

6. Conclusions

In the southern section of the Shizhuang area within the Qinshui Basin, in situ stresses within coal deposits increase in magnitude with depth, while the gradient and lateral pressure coefficients decrease. Due to the large depth range of the coal seams, complex stress regimes exist. In the Shizhuang south block, the strike-slip fault stress regime is predominant, with normal fault stress regimes mainly distributed at depths greater than 800 m and reverse fault stress regimes at depths less than 600 m. Horizontal stress differences vary by stress regime, being largest for reverse fault stress, followed by strike-slip fault stress, and smallest for normal fault stress. The horizontal stress difference is positively correlated with burial depth. Coal permeability ranges from 0.003 to 1.08 mD, averaging 0.4 mD, while porosity ranges from 2% to 12%, averaging 7.3%. Both porosity and permeability generally decrease with increasing stress but are enhanced by coal texture and tectonics (faulting).
Micro-seismic occurrences associated with hydraulic fracturing indicate that the primary orientation of σH in the Shizhuang south block is northeast–southwest, with some localized variations in the northwest–southeast and east–west directions. The formation of fractures through hydraulic fracturing is influenced by tectonic strike, coal quality, and pre-existing fractures. Conventional small-scale fracturing techniques are less effective in deep-seated CBM development or tectonic low points, as proppant-supported profiles are inadequate. Fracture length, width, and height measured by micro-seismic monitoring wells decrease with increasing burial depth, indicating that the same fracturing scheme is not applicable across areas with significant depth variation. Enhancing proppant dosage and pumping rate has proven successful in CBM development. The study area is divided into five stress zones, with geo-engineering parameters for each zone documented and recommendations for fracturing fluids and proppants provided.

Author Contributions

Conceptualization, X.M. and S.C.; methodology, X.M.; software, X.M.; validation, B.Z., H.W., and S.T.; formal analysis, S.C.; investigation, X.M.; resources, H.W.; data curation, B.Z.; writing—original draft preparation, X.M.; writing—review and editing, S.C.; visualization, X.M.; supervision, S.T.; project administration, S.T.; funding acquisition, S.T. All authors have read and agreed to the published version of the manuscript.

Funding

This research was supported by China United Coalbed Methane Co., Ltd. Seven-Year Action Plan Technology Project: Research on Coalbed Methane Storage and Transportation Technology (CNOOC-KJ135ZDXM 40 ZL01), the National Natural Science Foundation of China (42272200), and Tackling applied science and technology projects of China National Petroleum Corporation (2023ZZ18).

Data Availability Statement

The data presented in this study are available upon request from the corresponding author due to privacy restrictions.

Acknowledgments

The authors are grateful to the editor and anonymous reviewers for their careful reviews and detailed comments, which helped to substantially improve the manuscript.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Chen, S.; Tao, S.; Tang, D. In situ coal permeability and favorable development methods for coalbed methane (CBM) extraction in China: From real data. Int. J. Coal Geol. 2024, 284, 104472. [Google Scholar] [CrossRef]
  2. Huang, Q.; Du, Z.; Liu, H.; Niu, Q.; Fang, H.; Yang, J.; Lou, M. Investigation of cleat and micro-fracture and its aperture distribution in the coals of different ranks in North China: Relative to reservoir permeability. Front. Earth Sci. 2023, 10, 1048042. [Google Scholar] [CrossRef]
  3. Li, R.; Jin, L.; Wang, S.; Liu, H.; Cui, Z.; Xiang, W. A new mode of visible fracture system in coal seams and its implications for coalbed methane seepage. Geofluids 2023, 2023, 2455954. [Google Scholar] [CrossRef]
  4. Ren, F.; Zhou, F.; Jeffries, M.; Beaney, S.; Sharma, V.; Lai, W. Affecting Factors on History Matching Field-Level Coal Seam Gas Production from the Surat Basin, Australia. Energy Fuels 2024, 38, 3131–3147. [Google Scholar] [CrossRef]
  5. Wang, W.; Liu, S.; Sang, S.; Du, R.; Liu, Y. A Study on the Production Simulation of Coal–Shale Interbedded Coal Measure Superimposed Gas Reservoirs under Different Drainage Methods. Processes 2023, 11, 3424. [Google Scholar] [CrossRef]
  6. Zhou, D.; Wang, J.; Wang, B.; Gao, D.; Zhao, J. Physical characteristics and controlling factors of coal gas reservoir in Pingdingshan No. 10 coal mine. Processes 2023, 11, 3130. [Google Scholar] [CrossRef]
  7. Ma, T.; Liu, J.; Fu, J.; Wu, B. Drilling and completion technologies of coalbed methane exploitation: An overview. Int. J. Coal Sci. Technol. 2022, 9, 68. [Google Scholar] [CrossRef]
  8. Tao, S.; Pan, Z.; Tang, S.; Chen, S. Current status and geological conditions for the applicability of CBM drilling technologies in China: A review. Int. J. Coal Geol. 2019, 202, 95–108. [Google Scholar] [CrossRef]
  9. Zhang, R.; Wang, P.; Cheng, Y.; Shu, L.; Liu, Y.; Zhang, Z.; Zhou, H.; Wang, L. A new technology to enhance gas drainage in the composite coal seam with tectonic coal sublayer. J. Nat. Gas Sci. Eng. 2022, 106, 104760. [Google Scholar] [CrossRef]
  10. Danesh, N.N.; Zhao, Y.; Teng, T.; Masoudian, M.S. Prediction of interactive effects of CBM production, faulting stress regime, and fault in coal reservoir: Numerical simulation. J. Nat. Gas Sci. Eng. 2022, 99, 104419. [Google Scholar] [CrossRef]
  11. Pan, J.; Du, X.; Wang, X.; Hou, Q.; Wang, Z.; Yi, J.; Li, M. Pore and permeability changes in coal induced by true triaxial supercritical carbon dioxide fracturing based on low-field nuclear magnetic resonance. Energy 2024, 286, 129492. [Google Scholar] [CrossRef]
  12. Yang, R.; Chen, J.; Qin, X.; Huang, Z.; Li, G.; Liu, L. Stress evolution and permeability enhancement mechanism of multistage cavity completion in coalbed methane horizontal wells. SPE J. 2023, 28, 2767–2789. [Google Scholar] [CrossRef]
  13. Yao, Y.; Liu, D.; Qiu, Y. Variable gas content, saturation, and accumulation characteristics of Weibei coalbed methane pilot-production field in the southeastern Ordos Basin, China. AAPG Bull. 2013, 97, 1371–1393. [Google Scholar] [CrossRef]
  14. Liu, D.; Jia, Q.; Cai, Y.; Gao, C.; Qiu, F.; Zhao, Z.; Chen, S. A new insight into coalbed methane occurrence and accumulation in the Qinshui Basin, China. Gondwana Res. 2022, 111, 280–297. [Google Scholar] [CrossRef]
  15. Chen, S.; Zhang, Y.; Tang, D.; Tao, S.; Pu, Y.; Chen, Z. Present-day stress regime, permeability, and fracture stimulations of coal reservoirs in the Qinshui Basin, North China. AAPG Bulletin 2024, (20,240,401). Available online: https://archives.datapages.com/data/bulletns/aop/2024-04-01/aapgbltn22056aop.html (accessed on 15 May 2024).
  16. Xia, Y.; Yang, X.; Hu, C.; Lin, H.; Li, H. Sedimentary infill of Early-Middle Jurassic in the southeastern Tarim Basin and its constraints on the evolution of the Altyn Tagh Fault in the Northeast Tibet Plateau. Mar. Pet. Geol. 2024, 161, 106657. [Google Scholar] [CrossRef]
  17. Liu, G.; Li, J.; Qi, X.; Zhu, M. Geochemistry of High-Maturity Crude Oil and Gas from Deep–Ultradeep Reservoirs and Their Geological Importance in a Foreland Basin: A Case Study of the Southern Thrust Belt, Junggar Basin, Northwest China. J. Energy Eng. 2024, 150, 04023051. [Google Scholar] [CrossRef]
  18. Bott, M.H.P. The mechanics of oblique slip faulting. Geol. Mag. 1959, 96, 109–117. [Google Scholar] [CrossRef]
  19. Jones, O.T. The Dynamics of Faulting and Dyke Formation: With Applications to Britain. Nature 1942, 149, 651–652. [Google Scholar] [CrossRef]
  20. Salmachi, A.; Rajabi, M.; Wainman, C.; Mackie, S.; McCabe, P.; Camac, B.; Clarkson, C. History, geology, in situ stress pattern, gas content and permeability of coal seam gas basins in Australia: A review. Energies 2021, 14, 2651. [Google Scholar] [CrossRef]
  21. Han, J.; Zhang, H.; Liang, B.; Rong, H.; Lan, T.; Liu, Y.; Ren, T. Influence of large syncline on in situ stress field: A case study of the Kaiping Coalfield, China. Rock Mech. Rock Eng. 2016, 49, 4423–4440. [Google Scholar] [CrossRef]
  22. Pu, Y.; Li, S.; Tang, D.; Chen, S. Effect of magmatic intrusion on in situ stress distribution in deep coal measure strata: A case study in Linxing Block, eastern margin of Ordos Basin, China. Nat. Resour. Res. 2022, 31, 2919–2942. [Google Scholar] [CrossRef]
  23. Yu, G.; Liu, K.; Xi, K.; Yang, X.; Yuan, J.; Xu, Z.; Zhou, L.; Hou, S. Variations and causes of in-situ stress orientations in the Dibei-Tuziluoke Gas Field in the Kuqa Foreland Basin, western China. Mar. Pet. Geol. 2023, 158, 106528. [Google Scholar] [CrossRef]
  24. Zeng, L.; Song, Y.; Liu, G.; Tan, X.; Xu, X.; Yao, Y.; Mao, Z. Natural fractures in ultra-deep reservoirs of China: A review. J. Struct. Geol. 2023, 175, 104954. [Google Scholar] [CrossRef]
  25. Ganguli, S.S.; Sen, S. Investigation of present-day in-situ stresses and pore pressure in the south Cambay Basin, western India: Implications for drilling, reservoir development and fault reactivation. Mar. Pet. Geol. 2020, 118, 104422. [Google Scholar] [CrossRef]
  26. Rajabi, M.; Tingay, M.; Heidbach, O.; Hillis, R.; Reynolds, S. The present-day stress field of Australia. Earth-Sci. Rev. 2017, 168, 165–189. [Google Scholar] [CrossRef]
  27. Rajabi, M.; Esterle, J.; Heidbach, O.; Travassos, D.; Fumo, S. Characterising the contemporary stress orientations near an active continental rifting zone: A case study from the Moatize Basin, central Mozambique. Basin Res. 2022, 34, 1292–1313. [Google Scholar] [CrossRef]
  28. Zhang, Z.; Qin, Y.; You, Z.; Yang, Z. Distribution characteristics of in situ stress field and vertical development unit division of CBM in Western Guizhou, China. Nat. Resour. Res. 2021, 30, 3659–3671. [Google Scholar] [CrossRef]
  29. Burra, A.; Esterle, J.S.; Golding, S.D. Horizontal stress anisotropy and effective stress as regulator of coal seam gas zonation in the Sydney Basin, Australia. Int. J. Coal Geol. 2014, 132, 103–116. [Google Scholar] [CrossRef]
  30. Ren, P.; Wang, Q.; Tang, D.; Xu, H.; Chen, S. In situ Stress–Coal Structure Relationship and Its Influence on Hydraulic Fracturing: A Case Study in Zhengzhuang Area in Qinshui Basin, China. Nat. Resour. Res. 2022, 31, 1621–1646. [Google Scholar] [CrossRef]
  31. Zou, G.; Zhang, Q.; Peng, S.; She, J.; Teng, D.; Jin, C.; Che, Y. Influence of geological factors on coal permeability in the Sihe coal mine. Int. J. Coal Sci. Technol. 2022, 9, 6. [Google Scholar] [CrossRef]
  32. Mou, P.; Pan, J.; Wang, K.; Wei, J.; Yang, Y.; Wang, X. Influences of hydraulic fracturing on microfractures of high-rank coal under different in-situ stress conditions. Fuel 2021, 287, 119566. [Google Scholar] [CrossRef]
  33. Huang, J.; Morris, J.P.; Fu, P.; Settgast, R.R.; Sherman, C.S.; Ryerson, F.J. Hydraulic-Fracture-Height Growth Under the Combined Influence of Stress Barriers and Natural Fractures. SPE J. 2018, 24, 302–318. [Google Scholar] [CrossRef]
  34. Fu, H.; Wang, X.; Zhang, L.; Gao, R.; Li, Z.; Zhu, X.; Xu, W.; Li, Q.; Xu, T. Geological controls on artificial fracture networks in continental shale and its fracability evaluation: A case study in the Yanchang Formation, Ordos Basin, China. J. Nat. Gas Sci. Eng. 2015, 26, 1285–1293. [Google Scholar] [CrossRef]
  35. Rajabi, M.; Tingay, M.; Heidbach, O. The present-day stress field of New South Wales, Australia. Aust. J. Earth Sci. 2016, 63, 1–21. [Google Scholar] [CrossRef]
  36. Rajabi, M.; Tingay, M.; King, R.; Heidbach, O. Present-day stress orientation in the Clarence-Moreton Basin of New South Wales, Australia: A new high density dataset reveals local stress rotations. Basin Res. 2017, 29, 622–640. [Google Scholar] [CrossRef]
  37. Li, S.; Qin, Y.; Tang, D.; Shen, J.; Wang, J.; Chen, S. A comprehensive review of deep coalbed methane and recent developments in China. Int. J. Coal Geol. 2023, 279, 104369. [Google Scholar] [CrossRef]
  38. Qin, Y. Research progress of symbiotic accumulation of coal measure gas in China. Nat. Gas Ind. B 2018, 5, 466–474. [Google Scholar] [CrossRef]
  39. Tao, S.; Chen, S.; Pan, Z. Current status, challenges, and policy suggestions for coalbed methane industry development in China: A review. Energy Sci. Eng. 2019, 7, 1059–1074. [Google Scholar] [CrossRef]
  40. Ni, X.; Zhao, Z.; Wang, Y.; Wang, L. Optimisation and application of well types for ground development of coalbed methane from no. 3 coal seam in shizhuang south block in Qinshui basin, Shanxi province, China. J. Pet. Sci. Eng. 2020, 193, 107453. [Google Scholar] [CrossRef]
  41. Su, X.; Lin, X.; Zhao, M.; Song, Y.; Liu, S. The upper Paleozoic coalbed methane system in the Qinshui basin, China. AAPG Bull. 2005, 89, 81–100. [Google Scholar] [CrossRef]
  42. Ni, X.; Jia, Q.; Wang, Y. The Relationship between Current Ground Stress and Permeability of Coal in Superimposed Zones of Multistage Tectonic Movement. Geofluids 2019, 2019, 9021586. [Google Scholar] [CrossRef]
  43. Cao, L.; Yao, Y.; Cui, C.; Sun, Q. Characteristics of in-situ stress and its controls on coalbed methane development in the southeastern Qinshui Basin, North China. Energy Geosci. 2020, 1, 69–80. [Google Scholar] [CrossRef]
  44. Yang, S.; Yao, R.; Cui, X.; Chen, Q.; Huang, L. Analysis of the characteristics of measured stresses in Chinese mainland. Chin. J. Geophys. 2012, 55, 708–718. [Google Scholar] [CrossRef]
  45. Heidbach, O.; Rajabi, M.; Cui, X.; Fuchs, K.; Müller, B.; Reinecker, J.; Reiter, K.; Tingay, M.; Wenzel, F.; Xie, F.; et al. The World Stress Map database release 2016: Crustal stress pattern across scales. Tectonophysics 2018, 744, 484–498. [Google Scholar] [CrossRef]
  46. GB/T 24504-2009; The Method of Injection/Falloff Well Test for Coalbed Methane Well. National Coal Standardization Technical Committee: Beijing, China, 2009.
  47. DB/T 14-2018; Specification of Hydraulic Fracturing and Overcoring Method for In-Situ Stress Measurement. National Seismological Standardization Technical Committee: Beijing, China, 2018.
  48. GB/T 29172-2012; Practices for Core Analysis. National Oil & Gas Standardization Technical Committee: Beijing, China, 2012.
  49. GB/T 19559-2021; Method of Determining Coalbed Methane Content. National Coal Standardization Technical Committee: Beijing, China, 2021.
  50. GB/T 30050-2013; Classification of Coal-Body Structure. National Coal Standardization Technical Committee: Beijing, China, 2013.
  51. Haimson, B.; Cornet, F. ISRM Suggested Methods for rock stress estimation—Part 3: Hydraulic fracturing (HF) and/or hydraulic testing of pre-existing fractures (HTPF). Int. J. Rock Mech. Min. Sci. 2003, 40, 1011–1020. [Google Scholar] [CrossRef]
  52. Haimson, B. The hydrofracturing stress measuring method and recent field results. Int. J. Rock Mech. Min. Sci. Geomech. Abstr. 1978, 15, 167–178. [Google Scholar] [CrossRef]
  53. Kang, H.; Zhang, X.; Si, L.; Wu, Y.; Gao, F. In-situ stress measurements and stress distribution characteristics in underground coal mines in China. Eng. Geol. 2010, 116, 333–345. [Google Scholar] [CrossRef]
  54. Li, C.; Nordlund, E. Experimental verification of the Kaiser effect in rocks. Rock Mech. Rock Eng. 1993, 26, 333–351. [Google Scholar] [CrossRef]
  55. Cerfontaine, B.; Collin, F. Cyclic and Fatigue Behaviour of Rock Materials: Review, interpretation and Research Perspectives. Rock Mech. Rock Eng. 2017, 51, 391–414. [Google Scholar] [CrossRef]
  56. Kang, H.; Gao, F.; Xu, G.; Ren, H. Mechanical behaviors of coal measures and ground control technologies for China’s deep coal mines—A review. J. Rock Mech. Geotech. Eng. 2023, 15, 37–65. [Google Scholar] [CrossRef]
  57. Reiss, L.H.; Creusot, M.; Du Pétrole Et Des Moteurs, E.N.S. The Reservoir Engineering Aspects of Fractured Formations; Editions Technip: Paris, France, 1980; Available online: https://ci.nii.ac.jp/ncid/BA90642290 (accessed on 15 May 2024).
  58. Harpalani, S.; Chen, G. Influence of gas production induced volumetric strain on permeability of coal. Geotech. Geol. Eng. 1997, 15, 303–325. [Google Scholar] [CrossRef]
  59. Hou, J.S. Logging Evaluation Technologies and Its Applications For Coalbed Methane Reservoirs; Metallurgical Industry Press: Beijing, China, 2000. [Google Scholar]
  60. Li, J.; Liu, D.; Yao, Y.; Cai, Y.; Qiu, Y. Evaluation of the reservoir permeability of anthracite coals by geophysical logging data. Int. J. Coal Geol. 2011, 87, 121–127. [Google Scholar] [CrossRef]
  61. Chatterjee, R.; Pal, P. Estimation of stress magnitude and physical properties for coal seam of Rangamati area, Raniganj coalfield, India. Int. J. Coal Geol. 2010, 81, 25–36. [Google Scholar] [CrossRef]
  62. Asquith, G.; Krygowski, D.; Henderson, S.; Hurley, N. Basic Well Log Analysis; American Association of Petroleum Geologists eBooks: Tulsa, OK, USA, 2004. [Google Scholar] [CrossRef]
  63. Teng, J.; Yao, Y.; Liu, D.; Cai, Y. Evaluation of coal texture distributions in the southern Qinshui basin, North China: Investigation by a multiple geophysical logging method. Int. J. Coal Geol. 2015, 140, 9–22. [Google Scholar] [CrossRef]
  64. Ghosh, S.; Chatterjee, R.; Paul, S.; Shanker, P. Designing of plug-in for estimation of coal proximate parameters using statistical analysis and coal seam correlation. Fuel 2014, 134, 63–73. [Google Scholar] [CrossRef]
  65. Chen, S.; Liu, P.; Tang, D.; Tao, S.; Zhang, T. Identification of thin-layer coal texture using geophysical logging data: Investigation by Wavelet Transform and Linear Discrimination Analysis. Int. J. Coal Geol. 2021, 239, 103727. [Google Scholar] [CrossRef]
  66. Fu, X.; Qin, Y.; Wang, G.G.; Rudolph, V. Evaluation of coal structure and permeability with the aid of geophysical logging technology. Fuel 2009, 88, 2278–2285. [Google Scholar] [CrossRef]
  67. Zhao, Z.; Tao, S.; Tang, D.; Chen, S.; Ren, P. A mathematical method to identify and forecast coal texture of multiple and thin coal seams by using logging data in the Panguan syncline, western Guizhou, China. J. Pet. Sci. Eng. 2020, 185, 106616. [Google Scholar] [CrossRef]
  68. Wang, Z.; Tang, S.; Yan, Z.; Zhang, S.; Xi, Z.; Zhang, K.; Wang, K.; Zhang, Q.; Yang, X. Three-Dimensional geological modeling of coal reservoirs and analysis of sensitivity factors for combined mining capacity. Processes 2023, 11, 3448. [Google Scholar] [CrossRef]
  69. Bashmagh, N.M.; Lin, W.; Radwan, A.E.; Manshad, A.K. Comprehensive analysis of stress magnitude and orientations and natural fractures in complex structural regimes oil reservoir: Implications for tectonic and oil field development in the Zagros suture zone. Mar. Pet. Geol. 2024, 160, 106615. [Google Scholar] [CrossRef]
  70. Somerton, W.H.; Söylemezoḡlu, I.M.; Dudley, R.C. Effect of stress on permeability of coal. Int. J. Rock Mech. Min. Sci. Geomech. Abstracts. 1975, 12, 129–145. [Google Scholar] [CrossRef]
  71. Palmer, I.; Mavor, M.; Gunter, B. Permeability changes in coal seams during production and injection: 2007 International Coalbed Methane Symposium: Tuscaloosa. Ala. Univ. Ala. Pap. 2007, 713, 20. [Google Scholar]
  72. Gao, Q.; Liu, J.; Huang, Y.; Li, W.; Shi, R.; Leong, Y.; Elsworth, D. A critical review of coal permeability models. Fuel 2022, 326, 125124. [Google Scholar] [CrossRef]
  73. Lin, Y.; Qin, Y.; Ma, D.; Wang, S.; Qiao, J. In situ stress variation and coal reservoir permeability response of the Jurassic Yan’an formation in the southwestern Ordos basin, China: Its impact on coalbed methane development. Geoenergy Sci. Eng. 2023, 222, 211444. [Google Scholar] [CrossRef]
  74. Pan, J.; Zhao, Y.; Hou, Q.; Jin, Y. Nanoscale pores in coal related to coal rank and deformation structures. Transp. Porous Media 2015, 107, 543–554. [Google Scholar] [CrossRef]
  75. Yang, G.; Hu, W.; Tang, S.; Zhou, Z.; Song, Z. Impacts of vertical variation of coal seam structure on hydraulic fracturing and resultant gas and water production: A case study on the Shizhuangnan Block, Southern Qinshui Basin, China. Energy Explor. Exploit. 2023, 42, 52–64. [Google Scholar] [CrossRef]
  76. Temizel, C.; Canbaz, C.H.; Palabiyik, Y.; Hosgor, F.B.; Atayev, H.; Ozyurtkan, M.H.; Aydin, H.; Yurukcu, M.; Narendra, B. A review of hydraulic fracturing and latest developments in unconventional reservoirs. In Proceedings of the Offshore Technology Conference, Houston, TX, USA, 2 May 2022. [Google Scholar] [CrossRef]
  77. Gong, X.; Ma, X.; Liu, Y. Analysis of geological factors affecting propagation behavior of fracture during hydraulic fracturing shale formation. Geomech. Geophys. Geo-Energy Geo-Resour. 2024, 10, 102. [Google Scholar] [CrossRef]
  78. Song, J.; Qiao, Q.; Chen, C.; Zheng, J.; Wang, Y. Numerical Analysis of the Stress Shadow Effects in Multistage Hydrofracturing Considering Natural Fracture and Leak-Off Effect. Water 2024, 16, 1308. [Google Scholar] [CrossRef]
  79. Mukherjee, S.; Rajabi, M.; Esterle, J.; Copley, J. Subsurface fractures, in-situ stress and permeability variations in the Walloon Coal Measures, eastern Surat Basin, Queensland, Australia. Int. J. Coal Geol. 2020, 222, 103449. [Google Scholar] [CrossRef]
  80. Qiu, G.; Chang, X.; Li, J.; Guo, Y.; Zhou, Z.; Wang, L.; Wan, Y.; Wang, X. Study on the interaction between hydraulic fracture and natural fracture under high stress. Theor. Appl. Fract. Mech. 2024, 130, 104259. [Google Scholar] [CrossRef]
  81. Huang, L.; Li, B.; Wu, B.; Li, C.; Wang, J.; Cai, H. Study on the extension mechanism of hydraulic fractures in bedding coal. Theor. Appl. Fract. Mech. 2024, 131, 104431. [Google Scholar] [CrossRef]
  82. Zhao, X.; Wang, T.; Elsworth, D.; He, Y.; Zhou, W.; Zhuang, L.; Zeng, J.; Wang, S. Controls of natural fractures on the texture of hydraulic fractures in rock. J. Pet. Sci. Eng. 2018, 165, 616–626. [Google Scholar] [CrossRef]
  83. Wang, Y.; Liu, D.; Cai, Y.; Yao, Y.; Pan, Z. Constraining coalbed methane reservoir petrophysical and mechanical properties through a new coal structure index in the southern Qinshui Basin, northern China: Implications for hydraulic fracturing. AAPG Bull. 2020, 104, 1817–1842. [Google Scholar] [CrossRef]
  84. Wu, Y.; Men, X.; Lou, Y. New progress and prospect of coalbed methane exploration and development in China during the 14th Five-Year Plan period. China Pet. Explor. 2024, 29, 1–13. [Google Scholar]
  85. Xu, F.; Nie, Z.; Sun, W.; Xiong, X.; Xu, B.; Zhang, L.; Shi, X.; Liu, Y.; Liu, S.; Zhao, Z.; et al. Theoretical and technological system for Highly efficient development of deep coalbed methane in the Eastern edge of Erdos Basin. J. China Coal Soc. 2023, 49, 528–544. [Google Scholar]
  86. Zhang, C.; Li, M.; Hu, Q.; Jia, H.; Li, K.; Wang, Q.; Yang, R. Moderately deep coalbed methane reservoirs in the southern Qinshui Basin: Characteristics and technical strategies for exploitation. Coal Geol. Explor. 2024, 52, 122–133. [Google Scholar]
Figure 1. Comprehensive geologic map of Shizhuang south block in Qinshui Basin. (a) Qingshui Basin, China, and the location of the Shizhuang south block; (b) Tectonic outline map of Shizhuang south block; (c) Stratigraphic histogram of Shizhuang south block.
Figure 1. Comprehensive geologic map of Shizhuang south block in Qinshui Basin. (a) Qingshui Basin, China, and the location of the Shizhuang south block; (b) Tectonic outline map of Shizhuang south block; (c) Stratigraphic histogram of Shizhuang south block.
Energies 17 04221 g001
Figure 2. Maximum horizontal stress trajectory in China, based on data from the World Stress Map (WSM) Database [45]. The stress map was generated using data from WSM available at http://www.world-stress-map.org/casmo/ (accessed on 10 May 2024).
Figure 2. Maximum horizontal stress trajectory in China, based on data from the World Stress Map (WSM) Database [45]. The stress map was generated using data from WSM available at http://www.world-stress-map.org/casmo/ (accessed on 10 May 2024).
Energies 17 04221 g002
Figure 3. Variation law of tectonic strain with depth in the Shizhuang south block.
Figure 3. Variation law of tectonic strain with depth in the Shizhuang south block.
Energies 17 04221 g003
Figure 4. Model evaluating coal reservoir permeability. (a) Sheet model; (b) Matchstick model; (c) Cube model.
Figure 4. Model evaluating coal reservoir permeability. (a) Sheet model; (b) Matchstick model; (c) Cube model.
Energies 17 04221 g004
Figure 5. Scatter plot of in situ stress vs. depth. (a) Stress magnitudes vs. depth; (b) Stress gradient magnitudes vs. depth; (c) Stress regimes vs. depth; (d) σH/σv vs. depth; (e) σh/σv vs. depth; (f) Lateral pressure coefficient vs. depth.
Figure 5. Scatter plot of in situ stress vs. depth. (a) Stress magnitudes vs. depth; (b) Stress gradient magnitudes vs. depth; (c) Stress regimes vs. depth; (d) σH/σv vs. depth; (e) σh/σv vs. depth; (f) Lateral pressure coefficient vs. depth.
Energies 17 04221 g005
Figure 6. (a) The horizontal stress differential vs. depth; (b) Plot of horizontal stress difference vs. lateral pressure coefficient for different stress regimes.
Figure 6. (a) The horizontal stress differential vs. depth; (b) Plot of horizontal stress difference vs. lateral pressure coefficient for different stress regimes.
Energies 17 04221 g006
Figure 7. Map of the distribution of fault stress types in Shizhuang south block.
Figure 7. Map of the distribution of fault stress types in Shizhuang south block.
Energies 17 04221 g007
Figure 8. Pie chart of the percentage of fault stress types in the Shizhuang south block. (a) In situ stress zone I; (b) In situ stress zone II; (c) In situ stress zone III; (d) In situ stress zone IV; (e) In situ stress zone V.
Figure 8. Pie chart of the percentage of fault stress types in the Shizhuang south block. (a) In situ stress zone I; (b) In situ stress zone II; (c) In situ stress zone III; (d) In situ stress zone IV; (e) In situ stress zone V.
Energies 17 04221 g008
Figure 9. Spatial distribution and measurement points of permeability and porosity. (a) Spatial distribution of permeability (mD); (b) Spatial distribution of porosity (%); (c) Measurement points of permeability; (d) Measurement points of porosity.
Figure 9. Spatial distribution and measurement points of permeability and porosity. (a) Spatial distribution of permeability (mD); (b) Spatial distribution of porosity (%); (c) Measurement points of permeability; (d) Measurement points of porosity.
Energies 17 04221 g009
Figure 10. Map of coal texture distribution. (a) Undeformed coal; (b) Granulated coal; (c) Percentage of coal texture in the in-situ stress zones; (d) Coal texture vs. depth.
Figure 10. Map of coal texture distribution. (a) Undeformed coal; (b) Granulated coal; (c) Percentage of coal texture in the in-situ stress zones; (d) Coal texture vs. depth.
Energies 17 04221 g010
Figure 11. Map of effective stresses vs. permeability.
Figure 11. Map of effective stresses vs. permeability.
Energies 17 04221 g011
Figure 12. Three-dimensional visualization of the geological formations of coal seam No. 3 within the Shizhuang south block.
Figure 12. Three-dimensional visualization of the geological formations of coal seam No. 3 within the Shizhuang south block.
Energies 17 04221 g012
Figure 13. The cross-sectional diagram and parameters (permeability, coal quality, burial depth, and stress magnitude) of test wells in Shizhuang south block.
Figure 13. The cross-sectional diagram and parameters (permeability, coal quality, burial depth, and stress magnitude) of test wells in Shizhuang south block.
Energies 17 04221 g013
Figure 14. Vertical distribution of well profiles and in situ stresses in the slope zone connecting wells in the Shizhuang south block.
Figure 14. Vertical distribution of well profiles and in situ stresses in the slope zone connecting wells in the Shizhuang south block.
Energies 17 04221 g014
Figure 15. Vertical distribution of microtectonic connecting well profiles and in situ stresses in the Shizhuang block.
Figure 15. Vertical distribution of microtectonic connecting well profiles and in situ stresses in the Shizhuang block.
Energies 17 04221 g015
Figure 16. Well section and vertical distribution of in situ stress in the Shizhuang south block.
Figure 16. Well section and vertical distribution of in situ stress in the Shizhuang south block.
Energies 17 04221 g016
Figure 17. Fracturing construction parameters vs. depth. (a) Fracturing fluid volume; (b) Sand volume; (c) Sand concentration; (d) Breakdown pressure; (e) Shut-in pressure.
Figure 17. Fracturing construction parameters vs. depth. (a) Fracturing fluid volume; (b) Sand volume; (c) Sand concentration; (d) Breakdown pressure; (e) Shut-in pressure.
Energies 17 04221 g017
Figure 18. Statistical map of micro-seismic events for parameter wells. (a) TS-8; (b) TS-9; (c) TS-13; (d) TS-14; (e) TS-15.
Figure 18. Statistical map of micro-seismic events for parameter wells. (a) TS-8; (b) TS-9; (c) TS-13; (d) TS-14; (e) TS-15.
Energies 17 04221 g018
Figure 19. The cross-sectional diagram and micro-seismic parameters of test wells in Shizhuang south block.
Figure 19. The cross-sectional diagram and micro-seismic parameters of test wells in Shizhuang south block.
Energies 17 04221 g019
Figure 20. Average daily gas production versus depth for different types of wells in the Shizhuang south block.
Figure 20. Average daily gas production versus depth for different types of wells in the Shizhuang south block.
Energies 17 04221 g020
Figure 21. Statistical map of engineering parameters of production wells within the tectonic unit. (a) Average daily gas production; (b) Gas breakthrough time; (c) Average daily water production; (d) well bottom pressure at gas breakthrough; (e) The ratio of critical desorption pressure to initial reservoir pressure.
Figure 21. Statistical map of engineering parameters of production wells within the tectonic unit. (a) Average daily gas production; (b) Gas breakthrough time; (c) Average daily water production; (d) well bottom pressure at gas breakthrough; (e) The ratio of critical desorption pressure to initial reservoir pressure.
Energies 17 04221 g021
Figure 22. Statistical map of geological parameters of production wells within the tectonic unit. (a) Permeability; (b) Gas content; (c) Porosity; (d) Reservoir pressure; (e) Coal texture.
Figure 22. Statistical map of geological parameters of production wells within the tectonic unit. (a) Permeability; (b) Gas content; (c) Porosity; (d) Reservoir pressure; (e) Coal texture.
Energies 17 04221 g022
Table 1. Statistical table of micro-seismic event parameters.
Table 1. Statistical table of micro-seismic event parameters.
Well NameFracture Length
(m)
Fracture Width
(m)
Fracture Height
(m)
AzimuthDepth
(m)
TS-829016056N51° E672.38
TS-931018042N70° E774.76
TS-1025018050N55° W758.81
TS-1130011066N55° W737.14
TS-124006535N57° E764.92
TS-1328024042N48° E691.73
TS-1415512546N40° E978.23
TS-1518014032N42° E982.38
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Men, X.; Tao, S.; Chen, S.; Wu, H.; Zhang, B. Impacts and Countermeasures of Present-Day Stress State and Geological Conditions on Coal Reservoir Development in Shizhuang South Block, Qinshui Basin. Energies 2024, 17, 4221. https://doi.org/10.3390/en17174221

AMA Style

Men X, Tao S, Chen S, Wu H, Zhang B. Impacts and Countermeasures of Present-Day Stress State and Geological Conditions on Coal Reservoir Development in Shizhuang South Block, Qinshui Basin. Energies. 2024; 17(17):4221. https://doi.org/10.3390/en17174221

Chicago/Turabian Style

Men, Xinyang, Shu Tao, Shida Chen, Heng Wu, and Bin Zhang. 2024. "Impacts and Countermeasures of Present-Day Stress State and Geological Conditions on Coal Reservoir Development in Shizhuang South Block, Qinshui Basin" Energies 17, no. 17: 4221. https://doi.org/10.3390/en17174221

APA Style

Men, X., Tao, S., Chen, S., Wu, H., & Zhang, B. (2024). Impacts and Countermeasures of Present-Day Stress State and Geological Conditions on Coal Reservoir Development in Shizhuang South Block, Qinshui Basin. Energies, 17(17), 4221. https://doi.org/10.3390/en17174221

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop