Physical Simulation and Law of Interlayer Interference in Multi-Layer Combined Production of Gas Reservoirs with Pressure Difference
Abstract
1. Introduction
2. Experiment Part
2.1. Experimental Principles
2.2. Experimental Materials
- (1)
- Using a standard core drilling machine, 40 cylindrical core plug samples measuring 2.5 cm in diameter and 6 cm in length were drilled from the full-diameter core. During drilling and subsequent grinding, coolant was applied to prevent rock particle dislodgement and minimize structural damage, thereby preserving the core’s original physical properties, including pore structure and micro-fracture development.
- (2)
- Following drilling, the core sample requires cleaning and drying to eliminate impurities and native fluids from the pore throats, thereby preparing it for subsequent experimental procedures. The cleaning procedure involves placing the core into a Soxhlet extractor and continuously washing it with organic solvents, such as toluene and methanol, until the reflux solvent becomes colorless and transparent. This ensures the effective removal of hydrocarbons and soluble salts from the core matrix. Drying is subsequently performed by placing the cleaned core in a constant-temperature drying oven and heating it at 65 °C for more than 48 h until a constant weight is achieved. This step guarantees the complete evaporation and removal of any residual fluids from the core pores, ensuring the core is completely dry and establishing a fixed initial water saturation of 0% for the experiments.
- (3)
- The basic physical parameters of the dried core samples, including porosity and permeability, were measured. The total porosity was determined using a helium porosimeter based on Boyle’s law. Gas permeability was measured with a gas permeameter (core holder). Under specific confining pressure and gas flow rate conditions, the gas permeability was calculated utilizing Darcy’s law.
2.3. Experimental Installation
2.4. Experimental Design
2.5. Experimental Process
- (1)
- Following the confirmation of system airtightness, the pretreated and thoroughly dried natural core sample was placed into a long core holder, and a predetermined confining pressure was applied. The experiments were performed with dry cores (Swi = 0%) to focus exclusively on the gas flow behavior controlled by interlayer pressure differences, without the interference of immobile water.
- (2)
- The outlet valve is then closed, and nitrogen (N2) is injected from the inlet end. The system pressure is subsequently raised to the target formation pressure using an ISCO pump and maintained at a constant level for over 8 h to ensure complete equilibration of the internal pore pressure within the core.
- (3)
- Under a constant temperature of 45 °C, the outlet valve is opened, and the back pressure is gradually reduced to simulate the well production process. Throughout this phase, a computer-based data acquisition system is employed to monitor and record the outlet gas flow rate and pressure dynamics in real time.
- (4)
- A stepwise depressurization protocol was implemented, wherein the pressure was reduced in increments of 3 MPa until reaching an abandonment pressure of 3 MPa (approximately 10% of the initial flowing pressure). Dynamic production data were recorded throughout this process, enabling the generation of curves for instantaneous gas production rate and cumulative gas production. Following the experiment, the core’s integrity was verified to ensure its suitability for subsequent testing.
- (5)
- A series of single-layer production experiments were conducted under three distinct formation pressures (13 MPa, 15 MPa, and 17 MPa) with consistent operating parameters. Each experimental scenario was repeated three times to ensure the consistency and reproducibility of the results, and the data presented are the average values from these parallel tests. After each experiment, the integrity of the core was verified to ensure its suitability for subsequent testing, and these replicated experiments established a reliable set of baseline data that served as a benchmark for the subsequent commingled production experiments.
- (6)
- Building upon the single-layer experiments, multi-layer commingled production experiments were conducted. These included two specific scenarios: a two-layer combination (15–13 MPa) and a three-layer combination (17–15–13 MPa).
- (7)
- Core samples subjected to different pressure conditions are connected in parallel via multiple flow branches to a common outlet pipeline, thereby accurately simulating the downhole commingled production environment within a single wellbore.
- (8)
- The same depressurization production procedure as employed in the single-layer experiments is conducted. A critical distinction lies in the simultaneous monitoring and recording of the inlet pressure and gas production rate for each independent core unit, while the outlet backpressure is maintained at a unified value representative of the commingled production point. This step is essential for capturing the dynamics of interlayer interference.
- (9)
- The analysis focuses on the production performance of individual layers during the initial stage of commingled production. The primary objective is to investigate the occurrence of reverse fluid channeling from high-pressure to low-pressure layers (i.e., the ‘backflow’ effect) and its consequent suppression of productivity in the low-pressure layers. Through these comparative experiments, the extent of interlayer interference during multi-layer commingled production and its impact on the overall recovery efficiency can be systematically quantified.
3. Experimental Results and Analysis
3.1. Single Mining Experiment
3.1.1. Experiment of Yield Change Rule
- (1)
- Q5 single mining
- (2)
- H4 single mining
- (3)
- T2 single mining
3.1.2. Analysis of Yield Change Mechanism
- (1)
- The primary mechanism governing production changes in single-layer mining stems from the depressurization process. Each reduction in back pressure generates an instantaneous high-pressure differential near the wellbore, significantly enhancing the reservoir’s driving energy [24]. This pressure disturbance rapidly disrupts the formation’s original pressure equilibrium, effectively overcoming capillary and flow resistances. This process stimulates gas desorption and creates a high-speed flow channel, resulting in a characteristic peak in instantaneous gas production [25]. For example, in the Q5 formation, peak gas production rates of 35.2 mL/min, 53.8 mL/min, 51.4 mL/min, and 48.8 mL/min were observed at 4 s, 394 s, 726 s, and 1049 s, respectively, during the four-stage depressurization process. Following the production peak, the rapid depletion of gas near the wellbore and the initial re-equilibration of the pressure field cause a swift decrease in the pressure differential. Consequently, gas flow becomes dominated by slow matrix diffusion or supply from more distant regions, leading to a sharp decline in instantaneous gas production. This sequence forms a characteristic response pattern marked by rapid peak attenuation [26].
- (2)
- The stepwise growth pattern of cumulative gas production directly reflects the periodic alternation between open-well production phases and shut-in recovery periods. At the onset of each depressurization stage, the accumulated free gas in the near-wellbore region is rapidly produced, which corresponds to the steep ascending segment of the cumulative production curve [27]. Once this readily available gas volume is largely depleted, and the gas supply rate from the formation interior can no longer sustain high flow rates, production enters a plateau phase. Although the subsequent shut-in phase contributes no direct production, it provides a critical window for formation pressure recovery and gas redistribution from the matrix to the fracture network. This process establishes a new mobile gas source for the next depressurization cycle. This cyclical depletion-recovery mechanism constitutes the fundamental driver behind the observed stepwise growth pattern [28].
- (3)
- As the mining process advances, each layer exhibits a characteristic stepwise decline in gas production increment, demonstrating the continuous attenuation of the reservoir’s internal driving energy [29]. Furthermore, the decrease in pore pressure during production leads to an increase in effective stress, which may cause a reduction in rock permeability. This effect contributes to the observed decline in flow rate under a constant pressure gradient during the later stages of each production cycle. During the initial mining stage, production primarily relies on the readily mobile free gas present in the near-wellbore region. This phase is characterized by abundant formation energy and a substantial driving pressure differential, resulting in high gas production efficiency [15]. As mining progresses to deeper stages, each successive depressurization cycle must access reservoir volumes increasingly farther from the wellbore. This leads to a considerable lengthening of the gas flow path and a corresponding rise in seepage resistance. Concurrently, the average formation pressure is systematically depleted due to continuous extraction, leading to a gradual reduction in the effective production pressure differential achievable during each depressurization cycle [30]. When the system pressure declines to the abandonment pressure, the remaining production pressure differential becomes insufficient to sustain effective gas flow, indicating that the reservoir has reached its economic production limit. This depletion process clearly demonstrates the constraints on movable fluid volumes and drive energy within the reservoir [31]. Comparative analysis reveals that the T2 formation exhibits higher initial energy and a more extensive pressure decline, yet maintains a superior overall productivity level. Conversely, the Q5 formation, characterized by lower initial energy and a more gradual depletion process, demonstrates a significantly lower overall productivity. The consistent decline in incremental gas production observed across each stage underscores the continuous depletion of reservoir energy throughout the production life cycle [32].
3.2. Double-Layer Commingling Experiment
3.3. Three-Layer Combined Mining Experiment
3.4. Study Limitations and Future Perspectives
4. Conclusions
- (1)
- Systematic physical simulation experiments were conducted to elucidate the interference mechanisms governing multi-layer commingled production under varying formation pressure conditions. A comparative analysis of single-layer and multi-layer commingled production experiments revealed significant interlayer interference during the commingled extraction of gas layers exhibiting distinct initial pressure differentials. Experimental results demonstrate that commingled production exerts an inhibitory effect on the total gas recovery efficiency. The cumulative gas production losses for two-layer and three-layer commingled production were quantified at 3.2% and 9.06%, respectively, with a more pronounced adverse impact on the productivity of low-pressure reservoirs.
- (2)
- This study elucidates the mechanism of the backflow phenomenon in multi-layer commingled production under varying pressure conditions. This phenomenon directly suppresses gas production from low-pressure layers, and the magnitude of this suppression escalates with increasing interlayer pressure differential.
- (3)
- The findings of this study provide an experimental basis for optimizing the development of low-permeability gas reservoirs. To translate these insights into practical applications, future work should focus on (a) assessing the long-term economic impact of interlayer interference on development strategies; (b) developing real-time monitoring and intelligent completion technologies based on the identified interference signatures (e.g., backflow and staggered peaks) for effective management; and (c) combining with numerical simulation to establish technical limits for commingled production under complex geological conditions.
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
- Qin, B.; Wang, H.; Li, F. Towards zero carbon hydrogen: Co-production of photovoltaic electrolysis and natural gas reforming with CCS. Int. J. Hydrogen Energy 2024, 78, 604–609. [Google Scholar] [CrossRef]
- Qin, Z.; He, Y.; Wang, N. Improved relative permeability models incorporating water film effects in low and ultra-low permeability reservoirs. Energy Fuels 2024, 38, 16218–16239. [Google Scholar] [CrossRef]
- Wang, Z.; Wei, L.; Zhang, X. Impact of Demographic Age Structure on Energy Consumption Structure: Evidence from Population Aging in Mainland China. Energy 2023, 273, 127226. [Google Scholar] [CrossRef]
- Zhao, C.; Ju, S.; Xue, Y. China’s Energy Transitions for Carbon Neutrality: Challenges and Opportunities. Carbon Neutrality 2022, 1, 7. [Google Scholar] [CrossRef]
- Hao, J.; Chen, L.; Zhang, N. A Statistical Review of Considerations on the Implementation Path of China’s “Double Carbon” Goal. Sustainability 2022, 14, 11274. [Google Scholar] [CrossRef]
- Zhao, Z.; Yang, K.; Xu, Y. Low-Carbon Transformation of Power Structure under the “Double Carbon” Goal: Power Planning and Policy Implications. Environ. Sci. Pollut. Res. 2023, 30, 66961–66977. [Google Scholar] [CrossRef]
- Cui, Z.; Liu, X.; Lu, S. Dynamic Comprehensive Evaluationof the Development Level of China’s Greenand Low Carbon Circular Economyunder the Double Carbon Target. Pol. J. Environ. Stud. 2023, 33, 101–115. [Google Scholar]
- Van, D.H.K.; Haghighi, M. A new approach for production forecasting from individual layers in multi-layer commingled tight gas reservoirs. APPEA J. 2022, 62, S192–S195. [Google Scholar]
- Jia, A.; Wei, Y.; Guo, Z. Development Status and Prospect of Tight Sandstone Gas in China. Nat. Gas Ind. B 2022, 9, 467–476. [Google Scholar] [CrossRef]
- Zhang, W.; Li, Y.; Sun, X. Co-production strategy and its influencing factors for stacked gas reservoirs. Fuel 2026, 404, 136171. [Google Scholar] [CrossRef]
- Cheng, M.; Xue, W.; Guo, Z. Development of Large-Scale Tight Gas Sandstone Reservoirs and Recommendations for Stable Production—The Example of the Sulige Gas Field in the Ordos Basin. Sustainability 2023, 15, 9933. [Google Scholar] [CrossRef]
- Liang, W.; Wang, J.; Leung, C. Opportunities and Challenges for Gas Coproduction from Coal Measure Gas Reservoirs with Coal-shale-tight Sandstone Layers: A Review. Deep Undergr. Sci. Eng. 2025, 4, 83–104. [Google Scholar]
- Urrutia, R.I.; Aagaard, T.F.; Gutierrez, V.S. Co-production of bioinsecticide and biochar from sunflower edible oil waste: A preliminary feasibility study. Bioresour. Technol. Rep. 2024, 26, 101836. [Google Scholar] [CrossRef]
- Okere, C.J.; Sheng, J.J.; Fan, L.K. Experimental study on the degree and damage-control mechanisms of fuzzy-ball-induced damage in single and multi-layer commingled tight reservoirs. Pet. Sci. 2023, 20, 3598–3609. [Google Scholar] [CrossRef]
- Liu, X.; Qi, H.; Liu, J. Feasibility Analysis of Commingle Production of Multi-Layer Reservoirs in the High Water Cut Stage of Oilfield Development. J. Pet. Explor. Prod. Technol. 2024, 14, 2219–2228. [Google Scholar] [CrossRef]
- Wu, G.; Li, Z.; Cao, Y. Layered Production Allocation Method for Dual-Gas Co-Production Wells. Energies 2025, 18, 4039. [Google Scholar] [CrossRef]
- Zhang, L.; Yang, X.; Song, J. A Model of Pressure Distribution along the Wellbore for the Low Water-Producing Gas Well with Multilayer Commingled Production. Pet. Sci. Technol. 2022, 40, 767–786. [Google Scholar] [CrossRef]
- Zhao, Q.; Li, X.S.; Chen, Z.Y. Numerical Investigation of Production Characteristics and Interlayer Interference during Co-Production of Natural Gas Hydrate and Shallow Gas Reservoir. Appl. Energy 2024, 354, 122219. [Google Scholar]
- Tao, X.; Okere, C.J.; Su, G. Experimental and Theoretical Evaluation of Interlayer Interference in Multi-Layer Commingled Gas Production of Tight Gas Reservoirs. J. Pet. Sci. Eng. 2022, 208, 109731. [Google Scholar] [CrossRef]
- Shu, S.G.; Li, Y.Y.; Hua, X.L. Research on the Basic Theory and Application of Enhanced Recovery in Tight Sandstone Gas Reservoirs. Heliyon 2025, 11, e41306. [Google Scholar]
- Wang, W.; Zhang, B.; Liang, Y. Evaluation Model of Water Production in Tight Gas Reservoirs Considering Bound Water Saturation. Processes 2025, 13, 2317. [Google Scholar] [CrossRef]
- Mukhina, E.; Afanasev, P.; Mukhametdinova, A. A novel method for hydrogen synthesis in natural gas reservoirs. Fuel 2024, 370, 131758. [Google Scholar] [CrossRef]
- Kukharova, T.; Maltsev, P.; Novozhilov, I. Development of a control system for pressure distribution during gas production in a structurally complex field. Appl. Syst. Innov. 2025, 8, 51. [Google Scholar] [CrossRef]
- Lu, Y.; He, W.; Wang, J. Experimental Study on Interlayer Interference Characteristics during Commingled Production in a Multilayer Tight Sandstone Gas Reservoir. Appl. Sci. 2024, 14, 10534. [Google Scholar] [CrossRef]
- Xue, G.; Huang, X.; Deng, X. A Production Splitting Model of Heterogeneous Multi-Layered Reservoirs with Commingled Production. J. Porous Media 2023, 26, 101–120. [Google Scholar] [CrossRef]
- Magson, J.; Chan, T.G.L.; Mohammed, A. Towards flexible large-scale, environmentally sustainable methanol and ammonia co-production using industrial symbiosis. RSC Sustain. 2025, 3, 1157–1169. [Google Scholar]
- Pusarapu, V.; Narayana, S.R.; Ochonma, P. Sustainable co-production of porous graphitic carbon and synthesis gas from biomass resources. npj Mater. Sustain. 2024, 2, 16. [Google Scholar] [CrossRef]
- Guo, J.; Jiang, C.; Du, J. Inter-Layer Interference in Commingled Tight Gas Reservoirs: Experiments and Simulations. Pet. Sci. Technol. 2025, 1–29. [Google Scholar] [CrossRef]
- Wang, L.; Xiang, Y.; Tao, H. An Analytical Model Coupled with Orthogonal Experimental Design Is Used to Analyze the Main Controlling Factors of Multi-Layer Commingled Gas Reservoirs. Water 2023, 15, 3052. [Google Scholar] [CrossRef]
- Yang, H.; Wang, E.; Cheng, D. Characteristics of Energy Evolution and Acoustic Emission Response of Concrete under the Action of Acidic Drying-Saturation Processes Cycle. J. Build. Eng. 2023, 74, 106928. [Google Scholar] [CrossRef]
- Pal, S.K.; Prabhudesai, V.S.; Vinu, R. Catalytic upcycling of post-consumer multilayered plastic packaging wastes for the selective production of monoaromatic hydrocarbons. J. Environ. Manag. 2024, 351, 119630. [Google Scholar]
- Guo, X.; Aibaibu, A.; Wu, Y. Numerical Modeling of Hydraulic Fracturing Interference in Multi-Layer Shale Oil Wells. Processes 2024, 12, 2370. [Google Scholar] [CrossRef]
- Seier, M.; Archodoulaki, V.M.; Koch, T. The morphology and properties of recycled plastics made from multi-layered packages and the consequences for the circular economy. Resour. Conserv. Recycl. 2024, 202, 107388. [Google Scholar]
- Zhang, T.; Wang, B.R.; Zhao, Y.L. Inter-Layer Interference for Multi-Layered Tight Gas Reservoir in the Absence and Presence of Movable Water. Pet. Sci. 2024, 21, 1751–1764. [Google Scholar] [CrossRef]
- Quan, F.; Wei, C.; Li, R. Reservoir Damage in Coalbed Methane Commingled Drainage Wells and Its Fatal Impact on Well Recovery. Nat. Resour. Res. 2023, 32, 295–319. [Google Scholar]
- Tong, F.; Chen, G.; Tang, M. Analysis and Optimization of Wellbore Structure Considering Casing Stress in Oil and Gas Wells within Coal Mine Goaf Areas Subject to Overburden Movement. Processes 2025, 13, 2948. [Google Scholar] [CrossRef]
- Li, S.; Guo, Y.; Wu, D. Enhanced gas production from silty clay hydrate reservoirs using multi-branch wells combined with multi-stage fracturing: Influence of fracture parameters. Fuel 2024, 357, 129705. [Google Scholar]
- Camargo, J.T.; White, J.A.; Hamon, F.P. Managing reservoir dynamics when converting natural gas fields to underground hydrogen storage. Int. J. Hydrogen Energy 2024, 49, 1261–1273. [Google Scholar]
- Skelly, B.P.; Rota, C.T.; Kolar, J.L. Mule deer mortality in the northern Great Plains in a landscape altered by oil and natural gas extraction. J. Wildl. Manag. 2024, 88, e22619. [Google Scholar] [CrossRef]
- Wang, Y.; Zhang, Y.; Yang, X. Optimizing unconventional gas extraction: The role of fracture roughness. Phys. Fluids 2024, 36, 036611. [Google Scholar] [CrossRef]
- Nie, S.; Li, J.; Liu, K. Numerical evaluation of commingled production potential of marine multilayered gas hydrate reservoirs using fractured horizontal wells and thermal fluid injection. J. Mar. Sci. Eng. 2024, 12, 365. [Google Scholar] [CrossRef]






| Sample ID | Formation | Length (cm) | Diameter (cm) | Volume (cm3) | Weight (g) | Permeability (mD) | Porosity (%) |
|---|---|---|---|---|---|---|---|
| 1-1 | Q5 | 8.714 | 2.533 | 43.89 | 101.55 | 0.0101 | 3.92 |
| 1-2 | 6.708 | 2.545 | 34.11 | 77.35 | 0.2412 | 5.51 | |
| 1-3 | 6.671 | 2.525 | 33.39 | 77.44 | 0.2436 | 5.53 | |
| 1-4 | 6.892 | 2.548 | 35.12 | 85.27 | 0.2459 | 5.54 | |
| 1-5 | 6.421 | 2.554 | 32.88 | 78.29 | 0.2478 | 5.56 | |
| 1-6 | 6.368 | 2.543 | 32.33 | 79.04 | 0.2504 | 5.58 | |
| 1-7 | 6.351 | 2.545 | 32.29 | 71.18 | 0.2511 | 5.58 | |
| 1-8 | 6.466 | 2.532 | 32.54 | 61.64 | 0.5349 | 7.53 | |
| 1-9 | 6.456 | 2.532 | 32.49 | 74.741 | 0.2509 | 5.58 | |
| 1-10 | 6.267 | 2.541 | 31.76 | 75.34 | 0.2516 | 5.58 | |
| 1-11 | 6.492 | 2.583 | 34.00 | 71.95 | 0.6926 | 8.62 | |
| 1-12 | 6.369 | 2.54 | 32.26 | 75.91 | 0.2597 | 5.64 | |
| 1-13 | 6.118 | 2.536 | 30.89 | 77.49 | 0.7911 | 9.30 | |
| 1-14 | 8.525 | 2.595 | 45.06 | 69.85 | 0.2634 | 5.66 | |
| 1-15 | 6.408 | 2.526 | 32.10 | 87.67 | 0.2519 | 5.59 | |
| 2-1 | H4 | 7.868 | 2.62 | 42.40 | 90.71 | 0.6385 | 3.29 |
| 2-2 | 8.288 | 2.605 | 44.15 | 94.81 | 0.2461 | 2.19 | |
| 2-3 | 8.044 | 2.56 | 41.38 | 92.38 | 0.2569 | 2.23 | |
| 2-4 | 8.296 | 2.617 | 44.60 | 103.93 | 0.2516 | 2.21 | |
| 2-5 | 8.029 | 2.595 | 42.44 | 98.92 | 0.7536 | 3.53 | |
| 2-6 | 8.746 | 2.586 | 45.91 | 100.7 | 0.2559 | 2.23 | |
| 2-7 | 4.086 | 2.585 | 21.43 | 45.51 | 0.2576 | 2.23 | |
| 2-8 | 7.381 | 2.575 | 38.42 | 86.46 | 0.6851 | 3.39 | |
| 2-9 | 8.226 | 2.563 | 42.42 | 94.61 | 0.2606 | 2.25 | |
| 2-10 | 7.512 | 2.619 | 40.45 | 78.31 | 0.2622 | 2.25 | |
| 3-1 | T2 | 5.076 | 2.512 | 25.14 | 65.10 | 0.6397 | 5.18 |
| 3-2 | 5.67 | 2.51 | 28.04 | 73.80 | 0.259 | 4.01 | |
| 3-3 | 5.55 | 2.512 | 27.49 | 75.20 | 0.6129 | 5.12 | |
| 3-4 | 5.538 | 2.51 | 27.39 | 74.90 | 0.266 | 4.04 | |
| 3-5 | 5.665 | 2.511 | 28.04 | 72.90 | 0.239 | 3.92 | |
| 3-6 | 5.479 | 2.511 | 27.12 | 70.70 | 0.242 | 3.93 | |
| 3-7 | 5.275 | 2.508 | 26.05 | 67.90 | 0.245 | 3.95 | |
| 3-8 | 5.504 | 2.513 | 27.29 | 70.70 | 0.247 | 3.96 | |
| 3-9 | 5.534 | 2.513 | 27.43 | 74.30 | 0.249 | 3.96 | |
| 3-10 | 5.724 | 2.51 | 28.31 | 73.50 | 0.1251 | 3.26 | |
| 3-11 | 5.498 | 2.508 | 27.15 | 72.70 | 0.252 | 3.98 | |
| 3-12 | 5.495 | 2.51 | 27.18 | 73.90 | 0.1963 | 3.71 | |
| 3-13 | 5.567 | 2.51 | 27.53 | 71.60 | 0.255 | 3.99 | |
| 3-14 | 5.207 | 2.523 | 26.02 | 68.40 | 0.3817 | 4.47 | |
| 3-15 | 5.519 | 2.513 | 27.36 | 68.30 | 0.4309 | 4.63 |
| Experimental Group Number | Type | Strata | Experimental Pressure */MPa | Reservoir Permeability/mD | Lithologic Characters |
|---|---|---|---|---|---|
| 1 | Single layer single mining | Q5 | 13 | 0.2570 | Sandstone |
| 2 | Single layer single mining | H4 | 15 | 0.2570 | Sandstone |
| 3 | Single layer single mining | T2 | 17 | 0.2570 | Sandstone |
| 4 | double-layer reservoir co-production | H4 | 15 | 0.2570 | Sandstone |
| Q5 | 13 | 0.2570 | Sandstone | ||
| 5 | Three-layer combined mining | Q5 | 13 | 0.2570 | Sandstone |
| H4 | 15 | 0.2570 | Sandstone | ||
| T2 | 17 | 0.2570 | Sandstone |
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Su, Y.; Zhang, B.; Mi, H.; Wei, C.; Wang, B.; Sun, L.; Fu, T.; Wang, C. Physical Simulation and Law of Interlayer Interference in Multi-Layer Combined Production of Gas Reservoirs with Pressure Difference. Energies 2026, 19, 53. https://doi.org/10.3390/en19010053
Su Y, Zhang B, Mi H, Wei C, Wang B, Sun L, Fu T, Wang C. Physical Simulation and Law of Interlayer Interference in Multi-Layer Combined Production of Gas Reservoirs with Pressure Difference. Energies. 2026; 19(1):53. https://doi.org/10.3390/en19010053
Chicago/Turabian StyleSu, Yu, Bing Zhang, Honggang Mi, Chao Wei, Bo Wang, Le Sun, Tianyu Fu, and Chen Wang. 2026. "Physical Simulation and Law of Interlayer Interference in Multi-Layer Combined Production of Gas Reservoirs with Pressure Difference" Energies 19, no. 1: 53. https://doi.org/10.3390/en19010053
APA StyleSu, Y., Zhang, B., Mi, H., Wei, C., Wang, B., Sun, L., Fu, T., & Wang, C. (2026). Physical Simulation and Law of Interlayer Interference in Multi-Layer Combined Production of Gas Reservoirs with Pressure Difference. Energies, 19(1), 53. https://doi.org/10.3390/en19010053
