团簇效应对裂缝连通性的影响

doi:10.3969/j.issn.1006-6535.2023.06.014

特种油气藏 ›› 2023, Vol. 30 ›› Issue (6): 107-113.DOI: 10.3969/j.issn.1006-6535.2023.06.014

团簇效应对裂缝连通性的影响

袁飞宇¹, 唐潮², 张超^3,4, 付亚飞¹, 陈波¹

1.中国石化西北油田分公司,新疆库尔勒 841000;
2.成都理工大学,四川成都 610059;
3.非常规油气开发教育部重点实验室(中国石油大学(华东)),山东青岛 266580;
4.中国石油大学(华东),山东青岛 266580

收稿日期:2022-11-25 修回日期:2023-09-25 出版日期:2023-12-25 发布日期:2024-01-19
通讯作者: 张超(1988—),男,副教授,2009年毕业于中国石油大学(华东)石油工程专业,2016年毕业于该校油气田开发工程专业,获博士学位,研究方向为非常规油藏注气提高采收率。
作者简介:袁飞宇(1986—),男,高级工程师,2010年毕业于西南石油大学资源勘查专业,现主要从事碳酸盐岩油藏工程方面的研究工作。
基金资助:
中国石化科研项目“岩溶系统描述及空间结构井网构建研究”(P20042-1)

Influence of the Cluster Effect on the Fracture Connectivity

Yuan Feiyu¹, Tang Chao², Zhang Chao^3,4, Fu Yafei¹, Chen Bo¹

1. Sinopec Northwest Oilfield Company, Korla, Xinjiang 841000, China;
2. Chengdu University of Technology, Chengdu, Sichuan 610059, China;
3. Key Laboratory of Unconventional Oil and Gas Development, Ministry of Education (China University of Petroleum (East China)), Qingdao, Shandong 266580, China;
4. China University of Petroleum (East China), Qingdao, Shandong 266580, China

Received:2022-11-25 Revised:2023-09-25 Online:2023-12-25 Published:2024-01-19

摘要/Abstract

摘要： 针对塔河油田缝洞型油藏非均质性强、裂缝分布无序复杂,需充分考虑裂缝网络展布的随机性及非均质性的问题,采用逾渗理论将裂缝网络简化为一随机无序系统,进而对具有团簇行为的裂缝网络的连通性进行研究。结果表明:随着裂缝网络由各向同性向各向异性转化,连通性先增大再减小;裂缝网络局部团簇效应会影响逾渗阈值,随着团簇效应的增加,逾渗阈值逐渐减小,说明团簇效应可以改善局部网络连通性,损害整体连通性。该方法在塔河A单元开发过程中进行应用,通过井网构建、井网调流势及井组注氮气驱油等方案,单元采收率由15.6%升至20.7%,新增可采储量超过42.1×10⁴t。该研究对于塔河油田缝洞型油藏提高采收率工作具有重要意义。

关键词: 逾渗理论, 分形理论, 团簇效应, 裂缝网络连通性

Abstract: In response to the problem that it is necessary to fully consider the randomness and non-homogeneity of the fracture network layout due to the strong non-homogeneity and disordered and complex distribution of fractures of the fractured-vuggy reservoirs in Tahe Oilfield, the percolation theory was adopted to simplify the fracture network into a random and disordered system, and then the connectivity of fracture networks with the clustering behavior was investigated. The results show that as the fracture network transforms from isotropic to anisotropic, the connectivity increases and then decreases; the local clustering effect of the fracture network affects the percolation threshold, which decreases with the increase of the clustering effect, suggesting that the clustering effect can improve the local network connectivity but impair the overall connectivity. The method was applied in the development of Tahe unit A, and the unit recovery rate increased from 15.6% to 20.7%, and the new recoverable reserves were more than 42.1×10⁴t by formulating programs such as well network construction, well network flow potential adjustment, and oil displacement of well group through injection of nitrogen. This study is of great significance to the recovery enhancement of fractured-vuggy reservoirs in Tahe Oilfield.

Key words: percolation theory, fractal theory, clustering effect, fracture network connectivity

中图分类号:

TE355

袁飞宇, 唐潮, 张超, 付亚飞, 陈波. 团簇效应对裂缝连通性的影响[J]. 特种油气藏, 2023, 30(6): 107-113.

Yuan Feiyu, Tang Chao, Zhang Chao, Fu Yafei, Chen Bo. Influence of the Cluster Effect on the Fracture Connectivity[J]. Special Oil & Gas Reservoirs, 2023, 30(6): 107-113.

参考文献

[1] BARENBLATT G I, ZHELTOV I P, KOCHINA I N. Basic concepts in the theory of seepage of homogeneous liquids in fissured rocks strata[J]. Journal of Applied Mathematics and Mechanics,1960,24(5):1286-1303.
[2] 丁勇,彭守涛,李会军.塔河油田及塔北碳酸盐岩油藏特征与成藏主控因素[J].石油实验地质,2011,33(5):488-494.
DING Yong,PENG Shoutao,LI Huijun.Features and main controlling factors of carbonate reservoirs in Tahe Oilfield and northern Tarim Basin[J].Petroleum Experimental Geology,2011,33(5).488-494.
[3] 彭小龙.裂缝-溶洞多重介质组分模型研究与应用[D].成都:西南石油学院,2002.
PENG Xiaolong.Research and application of crack-cave multiple media component modeling[D].Chengdu:Southwest Petroleum Institute,2002.
[4] BROADBENT S R,HAMMERSLEY J M.Percolation processes,I and II[J].Mathematical Proceedings of the Cambridge Philosophical Society,1957,53(3):629-641.
[5] STAUFFER D,AHARONY A.Introduction to percolation theory:revised second edition[M].London:Taylor & Francis,1994:31-52.
[6] SADEGHNEJAD S,MASIHI M,PISHVAIE M,et al.Utilization of percolation approach to evaluate reservoir connectivity and effective permeability:a case study on North Pars Gas Field[J].Scientia Iranica,2011,18(6):1391-1396.
[7] MASIHI M,SOBHANI M,AL-AJMI A M,et al.A physically-based three dimensional fracture network modeling technique[J].Scientia Iranica,2012,19(3):594-604.
[8] DASHTIAN H,JAFARI G R,SAHIMI M,et al.Scaling,multifractality,and long-range correlations in well log data of large-scale porous media[J].Physica A Statistical Mechanics & Its Applications,2011,390(11):2096-2111.
[9] SAHIMI M.Flow phenomena in rocks:from continuum models to fractals,percolation,cellular automata,and simulated annealing[J].Review of Modern Physics,1993,65(4):1393-1534.
[10] BOUR O,DAVY P.Connectivity of random fault networks following a power law fault length distribution[J].Water Resources Research,1997,33(7):1567-1584.
[11] ROBINSON P C.Connectivity of fracture systems-a percolation theory approach[J].Journal of Physics A Mathematical & General,1983,16(3):605-614.
[12] BERKOWITZ B.Analysis of fracture network connectivity using percolation theory[J].Mathematical Geology,1995,27(4):467-483.
[13] BALBERG I,ANDERSON C H,ALEXANDER S,et al.Excluded volume and its relation to the onset of percolation[J].Physical Review B,1984,30(7):3933-3943.
[14] MASIHI M,KING P R.A correlated fracture network:modeling and percolation properties[J].Water Resources Research,2007,430(7):2217-2221.
[15] STAUFFER D.Scaling theory of percolation clusters[J].Physics Reports,1979,54(1):1-74.
[16] MANDELBROT B B.The fractal geometry of nature[M].New York:WH freeman,1982:3-17.
[17] FEDER J.Viscous fingering in porous media[J].Annual Review of Fluid Mechanics,2003,19(1):271-311.
[18] FALCONER K J.The geometry of fractal sets[M].Cambridgeshire:Cambridge University Press,1985:35-72.
[19] VICSEK T,VICSEK T.Fractal growth phenomena[M].Singapore:World scientific,1992:33-49.
[20] 冯增朝,赵阳升,吕兆兴.二维孔隙裂隙双重介质逾渗规律研究[J].物理学报,2007,56(5):2796-2801.
FENG Zengzhao,ZHAO Yangsheng,LYU Zhaoxing.Study on percolation law of 2D porous and fractured double-medium[J].Acta Physica Sinica,2007,56(5):2796-2801.
[21] 郁伯铭.多孔介质输运性质的分形分析研究进展[J].力学进展,2003,33(3):333-346.
YU Boming.Advances of fractal analysis of transport properties for porous media[J].Advances in Mechanics,2003,33(3):333-346.
[22] 蔡建超,郭士礼,游利军,等.裂缝-孔隙型双重介质油藏渗吸机理的分形分析[J].物理学报,2013,62(1):220-224.
CAI Jianchao,GUO Shili,YOU Lijun,et al.Fractal analysis of spontaneous imbibition mechanism in fractured-porous dual media reservoir[J].Acta Physica Sinica,2013,62(1):220-224.
[23] 郭红鑫,程林松,王鹏,等.碳酸盐岩油藏不同裂缝产状岩心水驱油实验及水驱规律[J].油气地质与采收率,2022,29(6):105-112.
GUO Hongxin,CHENG Linsong,WANG Peng,et al. Water flooding experiment and law of carbonate reservoir cores with different fracture occurrences[J].Petroleum Geology and Recovery Efficiency,2022,29(6):105-112.
[24] 林魂,宋西翔,罗超,等. 致密砂岩油藏裂缝与基质间渗吸特征及主控因素[J].油气地质与采收率,2022,29(5):133-140.
LIN Hun,SONG Xixiang,LUO Chao,et al. Dynamic imbibition characteristics between fractures and matrix in tight sandstone reservoirs and main controlling factor[J].Petroleum Geology and Recovery Efficiency,2022,29(5):133-140.
[25] 马承杰.多尺度边缘检测技术在断层识别及裂缝发育带预测中的应用——以车排子地区排691井区为例[J].油气地质与采收率,2021,28(2):85-90.
MA Chengjie.Application of multi-scale edge detection technology to fault recognition and fracture zone prediction:a case study of Block Well P691,Chepaizi Area[J].Petroleum Geology and Recovery Efficiency,2021,28(2):85-90.
[26] 但玲玲,史长林,文佳涛,等.多信息融合裂缝建模技术在碳酸盐岩双重介质油藏开发中的应用[J].油气地质与采收率,2022,29(1):46-52.
DAN Lingling,SHI Changlin,WEN Jiatao,et al.Application of multi-information fusion modeling technology for fractures in dual-medium carbonate reservoir[J].Petroleum Geology and Recovery Efficiency,2022,29(1):46-52.
[27] 苏映宏,吴忠维,崔传智,等.水力压裂支撑裂缝导流能力计算与分析[J].大庆石油地质与开发,2021,40(6):62-71.
SU Yinghong,WU Zhongwei,CUI Chuanzhi,et al.Calculation and analysis of the propped fracture conductivity created by hydraulic fracturing[J].Petroleum Geology & Oilfield Development in Daqing,2021,40(6):62-71.
[28] 徐加祥,丁云宏,杨立峰,等. 基于格子—玻尔兹曼方法的裂缝导流能力流固耦合[J].大庆石油地质与开发,2020,39(4):94-100.
XU Jiaxiang,DING Yunhong,YANG Lifeng,et al. Fluid-solid coupling of the fracture conductivity based on Lattice-Boltzmann method[J].Petroleum Geology & Oilfield Development in Daqing,2020,39(4):94-100.
[29] 咸玉席,陈超峰,封猛,等.页岩油藏裂缝网络多相渗流数值模拟研究[J]. 石油钻探技术, 2021, 49(5): 94-100.
XIAN Yuxi, CHEN Chaofeng, FENG Meng, et al. Numerical simulation of multiphase flow in fracture networks in shale oil reservoir[J].Petroleum Drilling Techniques, 2021, 49(5): 94-100.
[30] 李江,陈先超,高平,等.考虑应力敏感效应的裂缝性碳酸盐岩气井拟稳态产能预测方法[J].石油钻探技术,2021,49(3):111-116.
LI Jiang, CHEN Xianchao, GAO Ping, et al. A pseudo-steady-state productivity prediction method for fractured carbonate gas wells considering stress-sensitivity effects[J].Petroleum Drilling Techniques,2021, 49(3): 111-116.
[31] DAVY P,SORNETTE A,SORNETTE D.Some consequences of a proposed fractal nature of continental faulting[J].Nature,1990,348(6296):56-58.

团簇效应对裂缝连通性的影响

Influence of the Cluster Effect on the Fracture Connectivity

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