页岩气储层多期构造应力场反演与裂缝演化

doi:10.13809/j.cnki.cn32-1825/te.2024.04.005

油气藏评价与开发 ›› 2024, Vol. 14 ›› Issue (4): 560-568.doi: 10.13809/j.cnki.cn32-1825/te.2024.04.005

页岩气储层多期构造应力场反演与裂缝演化

王嘉伟¹(),张伯虎^1,²(),胡尧¹,何政毅¹,胡欣欣¹,陈伟¹,罗超³

1.西南石油大学地球科学与技术学院，四川成都610500
2.西南石油大学油气藏地质及开发工程全国重点实验室，四川成都610500
3.中国石油西南油气田公司页岩气研究院，四川成都610056

收稿日期:2023-11-03 发布日期:2024-09-10 出版日期:2024-08-26
通讯作者: 张伯虎（1978—），男，博士，教授，主要从事深部岩石力学及地质力学方面的教学与研究工作。地址：四川省成都市新都区新都大道8号，邮政编码：610500。E-mail：zbh_cd@126.com
作者简介:王嘉伟（1999—），男，在读硕士研究生，主要从事地应力反演与多期地质构造方面的研究。地址：四川省成都市新都区新都大道8号，邮政编码：610500。E-mail：1273761445@qq.com
基金资助:
中国石油天然气集团公司-西南石油大学创新联合体合作项目“川南深层海相页岩气多幕构造演化及构造裂缝预测技术研究”(2020CX020100);国家自然科学基金青年科学基金项目“长宁—威远地区筇竹寺组和五峰组—龙马溪组页岩储层特征对比及含气性控制因素研究”(41502150)

Inversion of multiphase tectonic stress field and fracture evolution in shale gas reservoirs

WANG Jiawei¹(),ZHANG Bohu^1,²(),HU Yao¹,HE Zhengyi¹,HU Xinxin¹,CHEN Wei¹,LUO Chao³

1. School of Geoscience and technology, Southwest Petroleum University, Chengdu, Sichuan 610500, China
2. State Key Laboratory of Oil and Gas reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu, Sichuan 610500, China
3. Shale Gas Research Institute of Petrochina Southwest Oil & Gas Field Company, Chengdu, Sichuan 610056, China

Received:2023-11-03 Online:2024-09-10 Published:2024-08-26

摘要/Abstract

摘要：

川南泸州区块五峰组—龙马溪组的页岩气蕴藏量大，构造运动使地应力局部集中，从而引起裂缝和断层的产生，对页岩气的勘探开发有较大影响。为了优选页岩气勘探区，采用地震综合资料、古构造图和岩石力学参数测试等方法，运用神经网络算法和地质力学建模方法，对研究区多期古构造应力场进行反演，并对应力影响下的储层裂缝发育规律进行预测。研究结果表明：采用数值模拟和神经网络算法，可以进行多期构造作用下的地应力场反演。多期构造运动使地应力发生调整变化，地层背斜部位应力较为集中，背斜核部受到强烈构造作用而发生破裂，应力逐步释放；多期构造运动使储层岩石承受的应力逐步变化，易出现破裂带而形成断层，应力逐步减小；原有断层周边裂缝发育较为强烈，易出现应力衰减区域，从而出现多而短的小型裂缝。现今应力场受多期构造运动综合影响，分布较复杂，裂缝发育规律性不强，对页岩气钻井、开发等影响较大。研究成果对深层页岩气的勘探开发具有一定的指导意义。

关键词: 页岩气储层, 多期构造运动, 应力场反演, 裂缝演化, 神经网络算法

Abstract:

The shale gas reserves in the Wufeng Formation-Longmaxi Formation of the Luzhou Block in southern Sichuan are substantial. Tectonic movements alter the ground stress, significantly impacting the exploration and development of shale gas. To optimize exploration areas for deep shale, methods such as seismic comprehensive data, ancient structural maps, and rock mechanics parameter testing have been employed. Additionally, neural network algorithms and geological mechanics modeling analysis have been used to invert the stress field of ancient geological structures across multiple stages within the study area and to predict the development of reservoir fractures influenced by stress. The research indicates that numerical simulation methods and neural network algorithms effectively invert the crustal stress field across multiple stages. Tectonic movements have altered the crustal stress, concentrating it in the stratigraphic anticline. Here, the core of the anticline, affected by strong tectonic activity, is fractured, gradually releasing stress. The ongoing multi-stage tectonic movements have facilitated changes in the stress of the reservoir rock, making the fracture zone conducive to fault formation with decreasing stress over time. Around the original faults, crack development is pronounced, leading to stress attenuation zones prone to numerous, short, small cracks. The current stress field, shaped by multiple tectonic periods, presents a complex distribution and irregular crack development, significantly influencing shale gas drilling and development. These findings offer valuable insights for the exploration and development of deep shale gas.

Key words: shale gas reservoirs, multiphase tectonic movement, inversion of stress field, fracture evolution, neural network algorithm

中图分类号:

TE121

王嘉伟,张伯虎,胡尧等. 页岩气储层多期构造应力场反演与裂缝演化[J]. 油气藏评价与开发, 2024, 14(4): 560-568.

Jiawei WANG,Bohu ZHANG,Yao HU, et al. Inversion of multiphase tectonic stress field and fracture evolution in shale gas reservoirs[J]. Petroleum Reservoir Evaluation and Development, 2024, 14(4): 560-568.

图/表 13

图1

图2

图3

图4

表1

图5

图6

表2

表3

神经网络训练样本"

序号	X向荷载/MPa	Y向荷载/MPa	Z向荷载/MPa
1	45.00	65.00	12.00
2	47.00	67.00	12.00
3	49.00	69.00	12.00
4	51.00	71.00	12.00
5	53.00	73.00	14.00
$?$	$?$	$?$	$?$
11	65.00	85.00	26.00
$?$	$?$	$?$	$?$
25	93.00	113.00	54.00

表3

表4

图7

图8

图9

参考文献 33

[1]	周延豪, 兰志勤, 冯建伟, 等. 南堡地区多期构造应力叠加模拟及断裂演化研究[J]. 地质与勘探, 2018, 54(4): 772-780.
	ZHOU Yanhao, LAN Zhiqin, FENG Jianwei, et al. Simulation of multi-Phase tectonic stress superimposition and fault evolution in the Nanpu depression[J]. Geology and Exploration, 2018, 54(4): 772-780.
[2]	王福. 柴达木盆地诺木洪凹陷构造演化及有利区预测[J]. 石油地质与工程, 2022, 36(3): 13-19.
	WANG Fu. Technic evolution and favorable area prediction of Nomuhong sag in Qaidam Basin[J]. Petroleum Geology & Engineering, 2022, 36(3): 13-19.
[3]	于荣泽, 王成浩, 张晓伟, 等. 北美Eagle Ford深层页岩气藏开发特征及启示[J]. 煤田地质与勘探, 2022, 50(9): 32-41.
	YU Rongze, WANG Chenghao, ZHANG Xiaowei, et al. Development characteristics and enlightenment of Eagle Ford deep shale gas reservoirs in North America[J]. Coal Geology & Exploration, 2022, 50(9): 32-41.
[4]	王红岩, 刘德勋, 蔚远江, 等. 大面积高丰度海相页岩气富集理论及地质评价技术进展与应用[J]. 煤田地质与勘探, 2022, 50(3): 69-81.
	WANG Hongyan, LIU Dexun, YU Yuanjiang, et al. Enrichment theory of large area and high abundance marine shale gas and its geological evaluation technology progress and application[J]. Coal Geology & Exploration, 2022, 50(3): 69-81.
[5]	张玉亭. 煤层分层地应力预测模型研究[J]. 非常规油气, 2023, 10(2): 115-120.
	ZHANG Yuting. Prediction model study of coalbed layered in-situ stress[J]. Unconventional Oil & Gas, 2023, 10(2): 115-120.
[6]	常闯, 李松, 汤达祯, 等. 基于测井参数的煤储层地应力计算方法研究——以延川南区块为例[J]. 煤田地质与勘探, 2023, 51(5): 23-32.
	CHANG Chuang, LI Song, TANG Dazhen, et al. In-situ stress calculation for coal reservoirs based on log parameters: A case study of the southern Yanchuan block[J]. Coal Geology & Exploration, 2023, 51(5): 23-32.
[7]	侯明勋, 葛修润. 岩体初始地应力场分析方法研究[J]. 岩土力学, 2007, 28(8): 1626-1630.
	HOU Mingxun, GE Xiurun. Study on fitting analysis of initial stress field in rock masses[J]. Rock and Soil Mechanics, 2007, 28(8): 1626-1630.
[8]	佘成学, 熊文林, 陈胜宏. 边坡初始地应力场的应力函数与有限元联合反演法[J]. 武汉水利电力大学学报, 1995(4): 366-371.
	SHE Chengxue, XIONG Wenlin, CHEN Shenghong. The stress function and finite element joint inversion method of the initial in-situ stress field of the slope[J]. Engineering Journal of Wuhan University, 1995(4): 366-371.
[9]	赵雨, 白金朋. 基于FLAC3D的多元线性回归法地下厂房初始地应力场反演重构[J]. 水电能源科学, 2022, 40(3): 149-152.
	ZHAO Yu, BAI Jinpeng. Inversion of multiple linear regression analysis of initial stress field of underground powerhouse based on FLAC3D[J]. Water Resources and Power, 2022, 40(3): 149-152.
[10]	陈正林, 何国志, 张劼超, 等. 小样本数据下三维地应力反演分析[J]. 科学技术与工程, 2022, 22(22): 9822-9829.
	CHEN Zhenglin, HE Guozhi, ZHANG Jiechao, et al. Three-dimensional in-situ stress inversion analysis under small sample data[J]. Science Technology and Engineering, 2022, 22(22): 9822-9829.
[11]	曹文龙, 王雪彦. 基于GM模型的地下采区地应力反演分析[J]. 矿业研究与开发, 2019, 39(8): 87-91.
	CAO Wenlong, WANG Xueyan. Inversion analysis on ground stress in underground mining area based on GM model[J]. Mining research and development, 2019, 39(8): 87-91.
[12]	张斗中, 汤济广, 蔡俊. 渝东南川地区龙马溪组地应力场特征[J]. 油气藏评价与开发, 2021, 11(2): 56-62.
	ZHANG Douzhong, TANG Jiguang, CAI Jun. Characteristics of geostress field of Longmaxi Formation in Nanchuan area,Eastern Chongqing[J]. Petroleum Reservoir Evaluation and Development, 2021, 11(2): 56-62.
[13]	高伟中, 孙鹏, 田超, 等. 东海盆地西湖凹陷地应力场与油气运移关系探讨[J]. 油气藏评价与开发, 2015, 5(1): 1-6.
	GAO Weizhong, SUN Peng, TIAN Chao, et al. Relation between crustal stress field and hydrocarbon migration in West Lake sag, East China Sea Basin[J]. Petroleum Reservoir Evaluation and Development, 2015, 5(1): 1-6.
[14]	马新华, 谢军. 川南地区页岩气勘探开发进展及发展前景[J]. 石油勘探与开发, 2018, 45(1): 161-169. doi: 10.11698/PED.2018.01.18
	MA Xinhua, XIE Jun. The progress and prospects of shale gas exploration and exploitation in southern Sichuan Basin, NW China[J]. Petroleum Exploration and Development, 2018, 45(1): 161-169. doi: 10.11698/PED.2018.01.18
[15]	段洋, 李琴, 贾艳芬, 等. 北美非常规储层地应力预测技术发展现状与趋势[J]. 石油地质与工程, 2023, 37(2): 43-50.
	DUAN Yang, LI Qin, JIA Yanfen, et al. Development status and trend of in-situ stress prediction technology for unconventional reservoirs in North America[J]. Petroleum Geology & Engineering, 2023, 37(2): 43-50.
[16]	李彦伟, 朱超凡, 曾壹坚, 等. 层理特征对油页岩水力压裂裂缝扩展规律影响的数值模拟研究[J]. 煤田地质与勘探, 2023, 51(11): 44-54.
	LI Yanwei, ZHU Chaofan, ZENG Yijian, et al. Numerical simulations of the effects of bedding planes on hydraulic fracture propagation law in oil shale[J]. Coal Geology & Exploration, 2023, 51(11): 44-54.
[17]	曹晋璐, 刘之的, 何福文, 等. 鄂尔多斯盆地中东部太原组灰岩成藏地质条件分析[J]. 石油地质与工程, 2022, 36(2): 35-41.
	CAO Jinlu, LIU Zhide, HE Fuwen, et al. Analysis of limestone reservoir forming geological conditions of Taiyuan formation in central and eastern Ordos Basin[J]. Petroleum Geology & Engineering, 2022, 36(2): 35-41.
[18]	丁文龙, 李超, 李春燕, 等. 页岩裂缝发育主控因素及其对含气性的影响[J]. 地学前缘, 2012, 19(2): 212-220.
	DING Wenlong, LI Chao, LI Chunyan, et al. Dominant factor of fracture development in shale and its relationship to gas accumulation[J]. Earth Science Frontiers, 2012, 19(2): 212-220.
[19]	孙玮, 刘树根, 王国芝, 等. 川东南丁山构造震旦系—下古生界油气成藏条件及成藏过程[J]. 地质科技情报, 2010, 29(1): 49-55.
	SUN Wei, LIU Shugen, WANG Guozhi, et al. Petroleum formed condition and process research for Sinian to low paleozoic at Dingshan structure in southeast of Sichuan Basin[J]. Bulletin of Geological Science and Technology, 2010, 29(1): 49-55.
[20]	覃作鹏, 刘树根, 邓宾, 等. 川东南构造带中新生代多期构造特征及演化[J]. 成都理工大学学报(自然科学版), 2013, 40(6): 703-711.
	QIN Zuopeng, LIU Shugen, DENG Bin, et al. Multiphase structural features and evolution of Southeast Sichuan tectonic belt in China[J]. Journal of Chengdu University of Technology(Science & Technology Edition), 2013, 40(6): 703-711.
[21]	HUANG H Y, HE D F, LI Y Q, et al. Silurian tectonic-sedimentary setting and basin evolution in the Sichuan area, southwest China: Implications for palaeogeographic reconstructions[J]. Marine & Petroleum Geology, 2018, 92: 403-423.
[22]	黄涵宇, 何登发, 李英强, 等. 四川盆地东南部泸州古隆起的厘定及其成因机制[J]. 地学前缘, 2019, 26(1): 102-120. doi: 10.13745/j.esf.sf.2019.1.9
	HUANG Hanyu, HE Dengfa, LI Yingqiang, et al. Determination and formation mechanism of the Luzhou paleo-uplift in the southeastern Sichuan Basin[J]. Earth Science Frontiers, 2019, 26(1): 102-120. doi: 10.13745/j.esf.sf.2019.1.9
[23]	朱传庆, 徐明, 单竞男, 等. 利用古温标恢复四川盆地主要构造运动时期的剥蚀量[J]. 中国地质, 2009, 36(6): 1268-1277.
	ZHU Chuanqing, XU Ming, DAN Jingnan, et al. Quantifying the denudations of major tectonic events in Sichuan Basin:Constrained by the paleothermal records[J]. Geology in China, 2009, 36(6): 1268-1277.
[24]	魏力民, 王岩, 张天操, 等. 页岩气富集与高产主控因素—以川南地区五峰组—龙马溪组为例[J]. 断块油气田, 2020, 27(6): 700-704.
	WEI Limin, WANG Yan, ZHANG Tiancao, et al. Main control factors of enrichment and high production of shale gas: a case study of Wufeng-Longmaxi Formation in Southern Sichuan[J]. Fault-Block Oil & Gas Field, 2020, 27(6): 700-704.
[25]	尹文韬, 陈伟, 余养里. 川南云锦地区三维构造平衡恢复的断裂体系研究[J]. 化工设计通讯, 2021, 47(11): 19-20.
	YIN Wentao, CHEN Wei, YU Yangli. Study on fault system of 3D structural balance restoration in Yunjin area, southern Sichuan[J]. Chemical Engineering Design Communications, 2021, 47(11): 19-20.
[26]	董敏, 郭伟, 张林炎, 等. 川南泸州地区五峰组—龙马溪组古构造应力场及裂缝特征[J]. 岩性油气藏, 2022, 34(1): 43-51.
	DONG Min, GUO Wei, ZHANG Linyan, et al. Characteristics of paleotectonic stress field and fractures of Wufeng-Longmaxi Formation in Luzhou area, Southern Sichuan Basin[J]. Lithologic Reservoirs, 2022, 34(1): 43-51.
[27]	陈颙, 黄庭芳, 刘恩儒. 岩石物理学[M]. 合肥: 中国科技大学出版社, 2009.
	CHEN Yong, HUANG Tingfang, LIU Enru. Rock physics[M]. Hefei: China University of Science and Technology Press, 2009.
[28]	ZHANG L Y, MA L C, ZHUO X Z, et al. Mesozoic-Cenozoic stress field magnitude in Sichuan Basin, China and its adjacent areas and the implication on shale gas reservoir: Determination by acoustic emission in rocks[J]. China Geology, 2020, 3(4): 591-601.
[29]	肖睿, 邓虎成, 彭先锋, 等. 基于古应力场模拟的多期区域构造裂缝分布预测评价技术——以中国泌阳凹陷安棚油田为例[J]. 科学技术与工程, 2015, 15(30): 97-105.
	XIAO Rui, DENG Hucheng, PENG Xianfeng, et al. The regional tectonic fracture distribution prediction technique of different generations based on the palaeostress field simulation——A case study from Anpeng Oil-field in Biyang Depresssion, China[J]. Science Technology and Engineering, 2015, 15(30): 97-105.
[30]	鲍洪志, 孙连环, 于玲玲, 等. 利用岩石声发射Kaiser效应求取地应力[J]. 断块油气田, 2009, 16(6): 94-96.
	BAO Hongzhi, SUN Lianhuan, YU Lingling, et al. Obtainment of ground stress by Kaiser effect of rock acoustic emission[J]. Fault-Block Oil & Gas Field, 2009, 16(6): 94-96.
[31]	王燕. 基于多元回归与神经网络耦合算法的地应力反演研究[D]. 成都: 西南石油大学, 2022.
	WANG Yan. Research on in-situ stress inversion based on multiple regression and neural network coupling algorithm[D]. Chengdu: Southwest Petroleum University, 2022.
[32]	马军. 页岩裂缝成因及其对含气性影响——以渝东南地区阳春沟构造带五峰组—龙马溪组为例[J]. 油气藏评价与开发, 2020, 10(3): 126-134.
	MA Jun. Origin of shale fractures and its influence on gas-bearing properties: A case study of Wufeng-Longmaxi Formation in Yangchungou structural belt in southeast Chongqing[J]. Petroleum Reservoir Evaluation and Development, 2020, 10(3): 126-134.
[33]	舒逸, 郑有恒, 包汉勇, 等. 四川盆地复兴地区下侏罗统页岩油气富集高产主控因素[J]. 世界石油工业, 2023, 30(5): 26-38.
	SHU Yi, ZHENG Youheng, BAO Hanyong, et al. Main controlling factors for high yield and enrichment of shale oil and gas in the Lower Jurassic in the Fuxing area of Sichuan Basin[J]. World Petroleum Industry, 2023, 30(5): 26-38.

岩层（断层）	密度ρ/（g/cm³）	弹性模量E/GPa	泊松比v
须家河组—自流井组	2.800	18.193	0.278
飞仙关组—须家河组	2.590	20.404	0.268
龙马溪组—飞仙关组	2.510	21.560	0.224
五峰组—龙马溪组	2.572	22.430	0.212
筇竹寺组	2.700	24.410	0.158
断层F1—F6	2.500	14.000	0.300
断层F7—F8	2.500	12.000	0.300

构造运动期次	各取样方向的Kaiser应力/MPa				三向主应力/MPa
构造运动期次	垂直	0°	45°	90°	X方向	Y方向	Z方向
第Ⅰ期	45.52	57.49	44.46	42.70	56.10	74.69	60.94
第Ⅱ期	49.72	61.86	45.94	48.10	58.88	81.58	64.86
第Ⅲ期	57.22	73.29	49.34	53.00	61.31	95.58	72.73
第Ⅳ期	70.72	84.05	54.21	56.00	64.19	106.46	86.02

主应力方向	第Ⅰ期			第Ⅱ期			第Ⅲ期			第Ⅳ期
主应力方向	Kaiser值/MPa	模拟值/MPa	符合率/ %	Kaiser值/MPa	模拟值/MPa	符合率/ %	Kaiser值/MPa	模拟值/MPa	符合率/ %	Kaiser值/MPa	模拟值/MPa	符合率/ %
X方向	56.10	54.21	96.60	58.88	57.25	97.20	63.31	62.33	98.50	64.19	61.91	95.37
Y方向	74.69	71.56	95.80	81.58	79.89	97.90	97.58	94.26	96.59	106.46	107.60	98.93
Z方向	60.94	61.80	98.60	64.86	64.21	99.36	72.73	75.02	96.95	104.51	109.20	95.50

页岩气储层多期构造应力场反演与裂缝演化

Inversion of multiphase tectonic stress field and fracture evolution in shale gas reservoirs

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