3D Dynamic Stress Evolution of the Continental Shale Oil Reservoirs

  • Zhang Yazhou ,
  • Wei Shiming ,
  • Jin Yan ,
  • Wang Di
Expand
  • 1. State Key Laboratory of Petroleum Resource and Prospecting, Beijing 102249, P. R. China;
    2. College of Petroleum Engineering, China University of Petroleum, Beijing 102249, P. R. China;
    3. Research Institute of Petroleum Exploration and Development of SINOPEC, Beijing 100083, P. R. China

Received date: 2024-01-26

  Online published: 2024-09-30

Abstract

Sand-shale interbedding is a significant geology feature of continental shale reservoirs in China. Due to the great difference of porosity, permeability and mechanical properties among different layers, the two-dimensional model cannot provide accurate guidance for shale reservoir development. According to the geology feature of continental shale reservoirs, a fully coupled mathematic model coupling solid deformation and fluid flow is proposed. The difference of stress sensitivity among different layers is also considered in this model. The stress evolution in a single well and multi-wells production process is investigated through numerical simulation. The simulation results show that: when refracturing is needed for the production well, the optimal refracturing locations are at the middle of the horizontal wellbore. The length of the optimal well section for refracturing should is related to the production time. With the longer production time, the length of optimal well section for refracturing is shorter. When taking the overall development efficiency of the reservoir as the goal, the well location should be designed in different layers, so that the well spacing can be reduced and the overall oil recovery of the reservoir can be increased without the interference between wells. To achieve better overall exploitation efficiency, when we design the well locations in different layers, there should be a specified horizontal distance among different wells, and the specified horizontal distance is different in different layers. The model established in this paper provides technical support for the design of three-dimensional well distribution, infill well and refracturing of shale oil reservoirs.

Cite this article

Zhang Yazhou , Wei Shiming , Jin Yan , Wang Di . 3D Dynamic Stress Evolution of the Continental Shale Oil Reservoirs[J]. Chinese Journal of Underground Space and Engineering, 2024 , 20(S1) : 163 -171 . DOI: 10.20174/j.JUSE.2024.S1.20

References

[1] 任芳祥. 油藏立体开发探讨[J]. 石油勘探与开发, 2012, 39(3): 320-325.
[2] 李根生, 黄中伟, 牛继磊, 等. 地应力及射孔参数对水力压裂影响的研究进展[J]. 石油大学学报(自然科学版), 2005 (4): 142-148.
[3] Nasehi M J, Mortazavi A. Effects of in-situ stress regime and intact rock strength parameters on the hydraulic fracturing[J]. Journal of Petroleum Science & Engineering, 2013, 108: 211-221.
[4] 赵文智, 胡素云, 侯连华, 等. 中国陆相页岩油类型、资源潜力及与致密油的边界[J]. 石油勘探与开发, 2020(1):1-10.
[5] 杜金虎, 胡素云, 庞正炼, 等.中国陆相页岩油类型、潜力及前景[J].中国石油勘探, 2019, 24(5): 560-568.
[6] 邹才能, 杨智,崔景伟,等. 页岩油形成机制、地质特征及发展对策[J]. 石油勘探与开发, 2013, 40(1): 14-26.
[7] 金衍, 陈勉, 周健, 等. 岩性突变体对水力裂缝延伸影响的实验研究[J]. 石油学报, 2008(2): 300-303.
[8] Lawrence W T, Clark J A. Hydraulic fracture propagation in layered rock: experimental studies of fracture containment[J]. Society of Petroleum Engineers Journal,1984, 24(1): 19-32.
[9] 程万, 金衍, 陈勉, 等. 三维空间中非连续面对水力压裂影响的试验研究[J]. 岩土工程学报, 2015, 37(3): 559-563.
[10] 谢利成,杨红新. 鄂尔多斯盆地不同类型水平井地质优化设计研究[J]. 非常规油气, 2018, 5(5): 49-57.
[11] 屈雪峰,杨永兴,刘丽丽,等. 多油层叠合区压裂水平井立体开发技术[J]. 科学技术与工程, 2016,16(31): 163-168.
[12] 王敏生,光新军,耿黎东. 页岩油高效开发钻井完井关键技术及发展方向[J]. 石油钻探技术, 2019,47(5): 1-10.
[13] Biot M A. General theory of three-dimensional consolidation[J]. Journal of Applied Physics, 1941, 12(2):155-164.
[14] 徐芝纶. 弹性力学简明教程(第三版)[M].北京:高等教育出版社,2021.
[15] 韦世明, 夏阳, 金衍,等. 三维页岩储层多重压力流固耦合模型研究[J]. 中国科学: 物理学 力学 天文学, 2019, 49(1): 40-52.
[16] 韦世明, 陈勉, 金衍,等. 缝网页岩储层非线性耦合渗流模型研究[J]. 中国科学: 物理学 力学 天文学, 2018, 48(6): 98-112.
[17] Bear J. Dynamics of fluids in porous media[M]. New York: Dover Publications, INC, 1972.
[18] Valliappan S, Khalili-Naghadeh N. Flow through fissured porous media with deformable matrix[J]. International Journal for Numerical Methods in Engineering, 1990, 29(5): 1079-1094.
[19] 夏阳, 金衍, 陈勉. 页岩气渗流过程中的多场耦合机理[J]. 中国科学: 物理学 力学 天文学, 2015, 45(9): 30-43.
[20] Yu W, Zhang T, Du S, et al. Numerical study of the effect of uneven proppant distribution between multiple fractures on shale gas well performance[J]. Fuel, 2015, 142: 189-198.
[21] Zhang J, Kamenov A, Zhu D, et al. Laboratory measurement of hydraulic fracture conductivities in the Barnett shale[J]. Journal PAPER, 2014, 29(3): 216-227.
[22] Wei S M, Jin Y, Huang Z, et al. Numerical Simulation on Hydro-Mechanical Coupling During Gas Transport in Shale[A] // 53rd U.S. Rock Mechanics/Geomechanics Symposium[C]. New York, America, 2019: 135-143.
[23] Guo X Y, Wu K, An C, et al. Numerical investigation of effects of subsequent parent well injection on interwell fracturing interference using reservoir-geomechanics-fracturing modeling[J]. SPE Journal, 2019, 24(4):1884-1902.
[24] Guo X Y, Wu K, Killough J, et al. Understanding the mechanism of interwell fracturing interference based on reservoir-geomechanics-fracturing modeling in Eagle Ford Shale[J]. SPE Reservoir Evaluation & Engineering, 2019, 22(3):842-860.
Outlines

/