Characterization of Connectivity in Ultra-Deep Fractured-Caveate Reservoirs Considering Fluid-Solid Coupling: A Case Study of the Manfen Block in the Fuman Oil Field of the Tar Basin

Zhenzhong CAI, Haitao ZHAO, Peng WANG, Jing LI, Guojin XU

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Earth Science Frontiers ›› 2024, Vol. 31 ›› Issue (5) : 301-312. DOI: 10.13745/j.esf.sf.2024.6.33

Characterization of Connectivity in Ultra-Deep Fractured-Caveate Reservoirs Considering Fluid-Solid Coupling: A Case Study of the Manfen Block in the Fuman Oil Field of the Tar Basin

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Abstract

Ultra-deep fractured-cave carbonate reservoirs are buried at great depths, with high stresses, and possess complex and diverse storage spaces. Fluid flow and seepage coexist, making the characterization of reservoir connectivity challenging. Accurate characterization of reservoir connectivity is crucial for identifying oil and gas enrichment areas, predicting reserves precisely, optimizing well patterns, and planning well locations. Therefore, this study focuses on the ultra-deep fractured-cave carbonate reservoirs in the Fuman Oil Field of the Tarim Basin. Considering the effect of fluid-solid coupling, a coupled mathematical model of stress seepage and free flow in fractured-cave reservoirs was established. A systematic study on the connectivity of ultra-deep fractured-cave carbonate reservoirs was conducted using a combination of rock permeability evolution experiments and numerical simulations. The research results indicate that with the increase of confining stress and axial stress, rock permeability gradually decreases, leading to weakened rock connectivity. Under low confining stress conditions, axial stress significantly affects rock permeability and connectivity. As the fracture aperture and angle increase, reservoir connectivity gradually improves. Fracture-connected caves can significantly enhance reservoir connectivity. The fluid flow rate and equivalent permeability increase with the increase in cave volume, which greatly improves reservoir connectivity. However, simply increasing the number of caves weakens the free flow (Stokes) effect, resulting in a less significant improvement in reservoir connectivity. The research findings provide technical support for the precise evaluation of deep carbonate reservoirs and enhance the efficiency of oil and gas exploration and development.

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ultra-deep reservoir / carbonate reservoir / reservoir connectivity / rock mechanical properties / fluid-solid coupling

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Zhenzhong CAI , Haitao ZHAO , Peng WANG , et al . Characterization of Connectivity in Ultra-Deep Fractured-Caveate Reservoirs Considering Fluid-Solid Coupling: A Case Study of the Manfen Block in the Fuman Oil Field of the Tar Basin. Earth Science Frontiers. 2024, 31(5): 301-312 https://doi.org/10.13745/j.esf.sf.2024.6.33

References

[1]
马永生, 蔡勋育, 云露, 等. 塔里木盆地顺北超深层碳酸盐岩油气田勘探开发实践与理论技术进展[J]. 石油勘探与开发, 2022, 49(1): 1-17.
[2]
王清华, 杨海军, 汪如军, 等. 塔里木盆地超深层走滑断裂断控大油气田的勘探发现与技术创新[J]. 中国石油勘探, 2021, 26(4): 58-71.
[3]
倪新锋, 杨海军, 沈安江, 等. 塔北地区奥陶系灰岩段裂缝特征及其对岩溶储层的控制[J]. 石油学报, 2010, 31(6): 933-940.
[4]
LI J, WANG H S, WU Z P, et al. Mesoscale migration of oil in tight sandstone reservoirs by multi-field coupled two-phase flow[J]. Marine and Petroleum Geology, 2024, 161: 106684.
[5]
何治亮, 朱成宏, 徐蔚亚, 等. 深层-超深层碳酸盐岩多类型储集体地震预测[J]. 地球物理学报, 2023, 66(1): 65-82.
[6]
王平, 潘文庆, 李世银, 等. 利用单井动态判识缝洞型碳酸盐岩油藏多缝洞体: 以哈拉哈塘油田哈6井区为例[J]. 新疆石油地质, 2017, 38(3): 363-368.
[7]
李静, 彭成乐, 周汉国, 等. 基于显微红外光谱技术的岩石微观渗流特性研究[J]. 岩石力学与工程学报, 2017, 36(增刊1): 3184-3191.
[8]
耿甜, 吕艳萍, 巫波, 等. 缝洞型油藏储量评价方法及开发对策[J]. 特种油气藏, 2021, 28(6): 129-136.
[9]
FADLELMULA F M M, KILLOUGH J, FRAIM M. TiConverter: a training image converting tool for multiple-point geostatistics[J]. Computers and Geosciences, 2016, 96: 47-55.
[10]
HØYER A S, VIGNOLI G, HANSEN T M, et al. Multiple-point statistical simulation for hydrogeological models: 3-D training image development and conditioning strategies[J]. Hydrology and Earth System Sciences, 2017, 21(12): 6069-6089.
[11]
刘军, 廖茂辉, 王来源, 等. 顺北油田顺北4号断裂带中段断控储集体连通性评价[J]. 新疆石油地质, 2023, 44(4): 456-464.
[12]
PU C S, JING C, HE Y L, et al. Multistage interwell chemical tracing for step-by-step profile control of water channeling and flooding of fractured ultra-low permeability reservoirs[J]. Petroleum Exploration and Development, 2016, 43(4): 679-688.
[13]
JING C, DONG X W, CUI W H, et al. Artificial neural network-based time-domain interwell tracer testing for ultralow-permeability fractured reservoirs[J]. Journal of Petroleum Science and Engineering, 2020, 195: 107558.
[14]
YANG H R, GUO K L, ZHU G W, et al. Application of trace substance tracer test method in low permeability reservoir-CQ oilfield[J]. Energy Reports, 2022, 8: 11309-11319.
[15]
KUMAR A, SETH P, SHRIVASTAVA K, et al. Integrated analysis of tracer and pressure-interference tests to identify well interference[J]. SPE Journal, 2020, 25(4): 1623-1635.
[16]
MANCHANDA R, SHARMA M M M, HOLZHAUSER S. Time-dependent fracture-interference effects in pad wells[J]. SPE Production and Operations, 2014, 29(4): 274-287.
[17]
SERRES-PIOLE C, PREUD’HOMME H, MORADI-TEHRANI N, et al. Water tracers in oilfield applications: guidelines[J]. Journal of Petroleum Science and Engineering, 2012, 98: 22-39.
[18]
雷裕红, 罗晓容, 张立宽, 等. 东营凹陷南斜坡东段沙河街组砂岩输导层连通性量化表征[J]. 石油学报, 2013, 34(4): 692-700.
[19]
谢昕翰, 闫长辉, 赖思宇, 等. 塔河六区缝洞型碳酸盐岩油藏井间连通类型研究[J]. 科学技术与工程, 2013, 13(34): 10284-10288.
[20]
康志宏, 陈琳, 鲁新便, 等. 塔河岩溶型碳酸盐岩缝洞系统流体动态连通性研究[J]. 地学前缘, 2012, 19(2): 110-120.
[21]
赵辉, 李伯英, 周玉辉, 等. 基于高速非达西渗流的断溶体油藏连通性预测模型[J]. 石油学报, 2022, 43(7): 1026-1034.
[22]
MORENO G A, LAKE L W. On the uncertainty of interwell connectivity estimations from the capacitance-resistance model[J]. Petroleum Science, 2014, 11(2): 265-271.
[23]
ZENG X J, ZHANG W S, CHEN T, et al. Evaluating interwell connectivity in waterflooding reservoirs with graph-based cooperation-mission neural networks[J]. SPE Journal, 2022, 27(4): 2443-2452.

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