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New Advances in Oil, Gas and Geothermal Reservoirs: 2nd Edition
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New Advances in Oil, Gas and Geothermal Reservoirs: 2nd Edition

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "H: Geo-Energy".

Deadline for manuscript submissions: 25 July 2025 | Viewed by 7427

Special Issue Editor

Dr. Daoyi Zhu

E-Mail Website
Guest Editor
Faculty of Petroleum, China University of Petroleum-Beijing at Karamay, Karamay 834000, China
Interests: oilfield chemistry; plugging theory and technology; low-energy processes for oil and gas recovery
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In recent years, oil, gas and geothermal reservoirs have gradually become the most important geological energy sources in the world. In order to expand oil and gas reserves, exploration experts have adopted novel cutting-edge technologies, such as a new method for logging the evaluation of key parameters of continental shale oil reservoirs, and the theory of large-scale oil and gas accumulation in deep glutenite. In order to further expand the sweep coefficient of the reservoir displacement agent, researchers have developed a multiscale environmentally friendly profile control agent. Researchers have also used nanomaterials, greenhouse gases such as CO2, etc., to further exploit the remaining oil in the formation. Geothermal energy is an environmentally friendly energy source, and improving its thermal energy utilization rate has been a hot topic in recent years.

This Special Issue aims to present and disseminate the most recent advances related to the new advances in oil, gas and geothermal reservoirs.

Topics of interest for publication include, but are not limited to:

  • New technologies of drilling and production in tight oil and gas reservoirs;
  • New technologies for drilling and production of shale oil and gas reservoirs;
  • New technologies of drilling and production in carbonate reservoirs;
  • New technologies for drilling and production of fractured-cavity oil and gas reservoirs;
  • New technologies for natural gas hydrate drilling and production;
  • New technologies for drilling and production of geothermal resources;
  • New low-energy mining technology.

Dr. Daoyi Zhu
Guest Editor

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • tight oil and gas
  • shale oil and gas
  • carbonate reservoir
  • fractured-cavity oil and gas reservoir
  • gas hydrate
  • geothermal resources

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Related Special Issue

Published Papers (8 papers)

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Research

20 pages, 7019 KiB  
Article
Research on the Liquid Helium Insulation Characteristics of an Experimental System
by Ye Chen, Liang Guo, Qiming Jia, Xiujuan Xie, Weiping Zhu and Ping Wang
Energies 2025, 18(6), 1349; https://doi.org/10.3390/en18061349 - 10 Mar 2025
Viewed by 543
Abstract
The research on the thermal insulation performance of experimental systems in the liquid helium temperature range is relatively scarce. This paper presents the theoretical design and establishment of a liquid helium storage system for insulation research, consisting of a liquid helium Dewar, a [...] Read more.
The research on the thermal insulation performance of experimental systems in the liquid helium temperature range is relatively scarce. This paper presents the theoretical design and establishment of a liquid helium storage system for insulation research, consisting of a liquid helium Dewar, a daily boil-off rate test subsystem, and a helium recovery subsystem. The passive thermal insulation structure consisted of a multilayer insulation (MLI) system with hollow glass microspheres serving as spacers. Based on self-built data acquisition, experiments were conducted to investigate the liquid helium insulation characteristics of an experimental system. A theoretical thermal analysis of the Dewar was conducted, resulting in the derivation of an expression for the heat leak of the Dewar. The analysis indicates that the evaporation capacity from the liquid helium Dewar was significantly affected by the structure of the neck tube. The overall relative error between the simulated and experimental temperature distribution of the insulation layer is 14.3%, with a maximum error of 22.3%. The system had an average daily boil-off rate of 14.4%, a heat leakage of 7.5 W, and a heat flux of 2.254 W/m2, while the effective thermal conductivity of the MLI with hollow glass microspheres was determined to be 2.887 × 10−4 W/(m·K). Furthermore, the apparent thermal conductivity between different layers of MLI significantly fluctuated with increasing temperature, ranging from a maximum of 5.342 × 10−4 W/(m·K) to a minimum of 1.721 × 10−4 W/(m·K). Full article
(This article belongs to the Special Issue New Advances in Oil, Gas and Geothermal Reservoirs: 2nd Edition)
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16 pages, 6282 KiB  
Article
A Microscopic Experimental Study on the Dominant Flow Channels of Water Flooding in Ultra-High Water Cut Reservoirs
by Chunlei Yu, Min Zhang, Wenbin Chen, Shiming Zhang and Shuoliang Wang
Energies 2024, 17(22), 5756; https://doi.org/10.3390/en17225756 - 18 Nov 2024
Cited by 2 | Viewed by 731
Abstract
The water drive reservoir in Shengli Oilfield has entered a stage of ultra-high water cut development, forming an advantageous flow channel for the water drive, resulting in the inefficient and ineffective circulation of injected water. Therefore, the distribution characteristics of water drive flow [...] Read more.
The water drive reservoir in Shengli Oilfield has entered a stage of ultra-high water cut development, forming an advantageous flow channel for the water drive, resulting in the inefficient and ineffective circulation of injected water. Therefore, the distribution characteristics of water drive flow channels and their controlled residual oil in ultra-high water cut reservoirs are of great significance for treating water drive dominant flow channels and utilizing discontinuous residual oil. Through microscopic physical simulation of water flooding, color mixing recognition and image analysis technology were used to visualize the evolution characteristics of water flooding seepage channels and their changes during the control process. Research has shown that during the ultra-high water content period, the shrinkage of the water drive seepage channel forms a dominant seepage channel, forming a “seepage barrier” at the boundary of the dominant seepage channel, and dividing the affected area into the water drive dominant seepage zone and the seepage stagnation zone. The advantage of water flooding is that the oil displacement efficiency in the permeable zone is as high as 80.5%, and the remaining oil is highly dispersed. The water phase is almost a single-phase flow, revealing the reason for high water consumption in this stage. The remaining oil outside the affected area and within the stagnant flow zone accounts for 89.8% of the remaining oil, which has the potential to further improve oil recovery in the later stage of ultra-high water cut. For the first time, the redundancy index was proposed to quantitatively evaluate the control effect of liquid extraction and liquid flow direction on the dominant flow channels in water flooding. Experimental data showed that both liquid extraction and liquid flow direction can regulate the dominant flow channels in water flooding and improve oil recovery under certain conditions. Microscopic physical simulation experiments were conducted through the transformation of well network form in the later stage of ultra-high water content, which showed that the synergistic effect of liquid extraction and liquid flow direction can significantly improve the oil recovery effect, with an oil recovery rate of 68.02%, deepening the understanding of improving oil recovery rate in the later stage of ultra-high water content. Full article
(This article belongs to the Special Issue New Advances in Oil, Gas and Geothermal Reservoirs: 2nd Edition)
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13 pages, 2479 KiB  
Article
Gas Production Prediction Model of Volcanic Reservoir Based on Data-Driven Method
by Haijie Zhang, Junwei Pu, Li Zhang, Hengjian Deng, Jihao Yu, Yingming Xie, Xiaochang Tong, Xiangjie Man and Zhonghua Liu
Energies 2024, 17(21), 5461; https://doi.org/10.3390/en17215461 - 31 Oct 2024
Viewed by 673
Abstract
Based on on-site construction experience, considering the time-varying characteristics of gas well quantity, production time, effective reservoir thickness, controlled reserves, reserve abundance, formation pressure, and the energy storage coefficient, a data-driven method was used to establish a natural gas production prediction model based [...] Read more.
Based on on-site construction experience, considering the time-varying characteristics of gas well quantity, production time, effective reservoir thickness, controlled reserves, reserve abundance, formation pressure, and the energy storage coefficient, a data-driven method was used to establish a natural gas production prediction model based on differential simulation theory. The calculation results showed that the average error between the actual production and predicted production was 12.49%, and the model determination coefficient was 0.99, indicating that the model can effectively predict natural gas production. Additionally, we observed that the influence of factors such as reserve abundance, the number of wells in operation, controlled reserves, the previous year’s gas production, formation pressure, the energy storage coefficient, effective matrix thickness, and annual production time on the annual gas production increases progressively as the F-values decrease. These insights are pivotal to a more profound understanding of gas production dynamics in volcanic reservoirs and are instrumental in optimizing stimulation treatments and enhancing resource recovery in such reservoirs and other unconventional hydrocarbon formations. Full article
(This article belongs to the Special Issue New Advances in Oil, Gas and Geothermal Reservoirs: 2nd Edition)
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15 pages, 3747 KiB  
Article
Development of a Hybrid AI Model for Fault Prediction in Rod Pumping System for Petroleum Well Production
by Aoxue Zhang, Yanlong Zhao, Xuanxuan Li, Xu Fan, Xiaoqing Ren, Qingxia Li and Leishu Yue
Energies 2024, 17(21), 5422; https://doi.org/10.3390/en17215422 - 30 Oct 2024
Viewed by 765
Abstract
Rod pumping systems are widely used in oil wells. Accurate fault prediction could reduce equipment fault rate and has practical significance in improving oilfield production efficiency. This paper analyzed the production journal of rod pumping wells in block X of Xinjiang Oilfield. According [...] Read more.
Rod pumping systems are widely used in oil wells. Accurate fault prediction could reduce equipment fault rate and has practical significance in improving oilfield production efficiency. This paper analyzed the production journal of rod pumping wells in block X of Xinjiang Oilfield. According to the production journal, oil well maintenance operations are primarily caused by five types of faults: scale, wax, corrosion, fatigue, and wear. These faults make up approximately 90% of all faults. 1354 oil wells in the block that experienced workover operations as a result of the aforementioned factors were chosen as the research objects for this paper. To lower the percentage of data noise, wavelet threshold denoising and variational mode decomposition were used. Based on the bidirectional long short-term memory network, an intelligent model for fault prediction was built. It was trained and verified with the help of the sparrow search algorithm. Its efficacy was demonstrated by testing various deep learning models in the same setting and with identical parameters. The results show that the prediction accuracy of the model is the highest compared with other 11 models, reaching 98.61%. It is suggested that the model using artificial intelligence can provide an accurate fault warning for the oilfield and offer guidance for the maintenance of the rod pumping system, which is meant to reduce the occurrence of production stagnation and resource waste. Full article
(This article belongs to the Special Issue New Advances in Oil, Gas and Geothermal Reservoirs: 2nd Edition)
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17 pages, 6325 KiB  
Article
Comparison of the Reaction Characteristics of Different Fuels in the Supercritical Multicomponent Thermal Fluid Generation Process
by Qiang Fu, Jie Tian, Yongfei Liu, Zhilin Qi, Hongmei Jiao and Shenyao Yang
Energies 2024, 17(21), 5376; https://doi.org/10.3390/en17215376 - 29 Oct 2024
Viewed by 662
Abstract
Supercritical multicomponent thermal fluid technology is a new technology with obvious advantages in offshore heavy oil recovery. However, there is currently insufficient understanding of the generation characteristics of the supercritical multicomponent thermal fluid, which is not conducive to the promotion and application of [...] Read more.
Supercritical multicomponent thermal fluid technology is a new technology with obvious advantages in offshore heavy oil recovery. However, there is currently insufficient understanding of the generation characteristics of the supercritical multicomponent thermal fluid, which is not conducive to the promotion and application of this technology. In order to improve the economic benefits and applicability of the supercritical multicomponent thermal fluid thermal recovery technology, this article reports on indoor supercritical multicomponent thermal fluid generation experiments and compares the reaction characteristics of different fuels in the supercritical multicomponent thermal fluid generation process. The research results indicate that the main components of the products obtained from the supercritical water–crude oil/diesel reaction are similar. Compared to the supercritical water–crude oil reaction, the total enthalpy value of the supercritical multicomponent thermal fluid generated by the supercritical water–diesel reaction is higher, and the specific enthalpy is lower. When the thermal efficiency of the boiler is the same, the energy equilibrium concentration of crude oil is lower than that of diesel. The feasibility of using crude oil instead of diesel to prepare supercritical multicomponent thermal fluids is analyzed from three aspects: reaction mechanism, economic benefits, and technical conditions. It is believed that using crude oil instead of diesel to prepare supercritical multicomponent thermal fluids has good feasibility. Full article
(This article belongs to the Special Issue New Advances in Oil, Gas and Geothermal Reservoirs: 2nd Edition)
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13 pages, 3457 KiB  
Article
Composition and Injection Rate Co-Optimization Method of Supercritical Multicomponent Thermal Fluid Used for Offshore Heavy Oil Thermal Recovery
by Shenyao Yang, Zhilin Qi, Jie Tian, Mingda Dong, Wei Zhang and Wende Yan
Energies 2024, 17(21), 5239; https://doi.org/10.3390/en17215239 - 22 Oct 2024
Viewed by 951
Abstract
Supercritical multicomponent thermal fluid injection is a new technology with great potential for offshore heavy oil thermal recovery. In the process of thermal fluid generation, the reaction conditions including temperature, pressure, and the organic mass concentration in the reaction material will significantly affect [...] Read more.
Supercritical multicomponent thermal fluid injection is a new technology with great potential for offshore heavy oil thermal recovery. In the process of thermal fluid generation, the reaction conditions including temperature, pressure, and the organic mass concentration in the reaction material will significantly affect its composition and injection rate and will further affect the thermal recovery and development quality of heavy oil. However, there is a lack of relevant research on the variation rules and control methods of the composition and injection rate of supercritical multicomponent thermal fluids, resulting in a lack of technical mechanisms for effective optimization. To fill this gap, a reaction molecular dynamics simulation method was used to simulate thermal fluid generation under different temperatures, pressures, and organic mass concentrations. The changes in thermal fluid composition and yield with reaction conditions were studied, and a control model of thermal fluid composition and yield was established. The proportional relationship between the thermal fluid generation scale of an offshore heavy oil platform and the simulated thermal fluid generation scale is analyzed, and a collaborative optimization method of thermal fluid composition and injection rate in field applications is proposed. The results show the following: (1) The higher the mass concentration of organic matter, the higher the content of supercritical carbon dioxide and supercritical nitrogen in thermal fluids, and the lower the content of supercritical water. (2) The higher the temperature and pressure, the higher the thermal fluid yield, and the higher the organic mass concentration, the lower the thermal fluid yield. (3) The component fitting model conforms to the power function relationship, and the coefficient of determination R2 is greater than 0.9; the yield fitting model conforms to the modified inverse linear logarithmic function relationship, the determination coefficient R2 is greater than 0.8, and the fitting degree is high. (4) The ratio between the actual injection rate of thermal fluids in the mine field and the molecular simulated thermal fluid yield is the ratio of organic matter mass in the platform thermal fluid generator and organic matter mass in the simulated box. (5) Based on the composition and yield control model, combined with the simulation of the ratio relationship between yield and injection rate in the field, a collaborative optimization method of thermal fluid composition and injection rate was established. The research results can provide an effective technical method for predicting, controlling, and optimizing the composition and injection rate of supercritical multicomponent thermal fluids. Full article
(This article belongs to the Special Issue New Advances in Oil, Gas and Geothermal Reservoirs: 2nd Edition)
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12 pages, 2984 KiB  
Article
Influence of Reaction Conditions on the Yield of Supercritical Multicomponent Thermal Fluids
by Wei Zhang, Zhilin Qi, Jie Tian, Fang Xu, Deyu Kong, Mingda Dong, Shenyao Yang and Wende Yan
Energies 2024, 17(19), 5012; https://doi.org/10.3390/en17195012 - 9 Oct 2024
Viewed by 816
Abstract
Supercritical multicomponent thermal fluid (scMCTF) is a novel medium with great potential for heavy oil thermal recovery. The production rate of scMCTF will affect the injection efficiency of thermal fluid, and then affect the development effect of thermal recovery. However, at present, there [...] Read more.
Supercritical multicomponent thermal fluid (scMCTF) is a novel medium with great potential for heavy oil thermal recovery. The production rate of scMCTF will affect the injection efficiency of thermal fluid, and then affect the development effect of thermal recovery. However, at present, there are few reports on the production rate of each component of scMCTF, and their understanding is not clear. According to the existing production rate data of supercritical water (scH2O) gasification products, based on the generation mechanism of scMCTF, the production rate of thermal fluid generation products under different generation conditions was calculated, and its influencing factors were identified. The results show the following: (1) The factors affecting the production rate of scMCTF generation products can be divided into three categories: reaction raw material factors, reaction condition factors, and catalytic factors. (2) The hydrocarbon number of raw material, reaction temperature, reaction time, and catalyst concentration were positively correlated with the production rate of the product. (3) The concentration of the reaction raw material is negatively correlated with the production rate of the product. The higher the concentration of the raw material is, the lower the concentration of H2O is, and the steam reforming reaction is inhibited, which leads to the decrease in the production rate. (4) The effect of reaction pressure and catalyst load on the product is not significant. (5) The reaction product production rate increased first and then decreased with the ratio of H2O to oil in the raw material emulsion and the ratio of preheated H2O to raw material discharge. (6) The effect of metal salt catalysts is relatively stable, and the catalytic effect of simple metal catalysts is significantly different under the action of different types of accelerators, so it is necessary to study the degree of synergization of different accelerators on the catalytic effect. The results can lay a foundation for the subsequent experimental and theoretical research design. Full article
(This article belongs to the Special Issue New Advances in Oil, Gas and Geothermal Reservoirs: 2nd Edition)
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18 pages, 3333 KiB  
Article
A Study on the Thermal Physical Property Changes in Formation Rocks during Rapid Preheating of SAGD
by Jie Tian, Shiwen Huang, Mingda Dong, Wende Yan and Zhilin Qi
Energies 2024, 17(15), 3834; https://doi.org/10.3390/en17153834 - 3 Aug 2024
Viewed by 957
Abstract
The incorporation and application of SAGD rapid preheating technology effectively solve the problem of the long preheating cycle in the SAGD steam cycle. The thermal properties of reservoir rocks are an important factor affecting the heat transfer law governing their formation during the [...] Read more.
The incorporation and application of SAGD rapid preheating technology effectively solve the problem of the long preheating cycle in the SAGD steam cycle. The thermal properties of reservoir rocks are an important factor affecting the heat transfer law governing their formation during the rapid preheating process of SAGD. During the rapid preheating process of SAGD, the expansion of the reservoir and the steam cycle process will cause changes in the pore permeability, oil-water saturation, and temperature of the reservoir rocks, which will inevitably lead to differences in the changes that occur in the thermal properties of the reservoir rocks, compared to those under the influence of a single factor. In this study, experiments were conducted to determine the thermal properties of reservoir rocks under the combined influence of pore permeability, oil-water saturation, and temperature, quantitatively characterizing the changes in the thermal properties of reservoir rocks. Using the orthogonal method to design and carry out experiments for determining the thermal properties of reservoir rocks, the main factors affecting the thermal properties of reservoir rocks and the significance of each factor’s impact on the thermal properties of reservoir rocks were determined through intuitive analysis and variance analysis of the experimental results. Finally, a regression equation that can characterize changes in the thermal properties of reservoir rocks under the influence of multiple factors was obtained through multiple nonlinear regressions of the experimental results. Full article
(This article belongs to the Special Issue New Advances in Oil, Gas and Geothermal Reservoirs: 2nd Edition)
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