库车坳陷博孜气藏超深致密砂岩储集层现今地应力预测

doi:10.7657/XJPG20230213

新疆石油地质 ›› 2023, Vol. 44 ›› Issue (2): 224-230.doi: 10.7657/XJPG20230213

库车坳陷博孜气藏超深致密砂岩储集层现今地应力预测

张辉¹(), 鞠玮²(), 徐珂¹, 宁卫科², 尹国庆¹, 王志民¹, 于国栋²

1.中国石油塔里木油田分公司勘探开发研究院，新疆库尔勒 841000
2.中国矿业大学资源与地球科学学院，江苏徐州 221116

收稿日期:2022-07-29 修回日期:2022-09-21 出版日期:2023-04-01 发布日期:2023-03-31
通讯作者: 鞠玮（1988-），男，山东临沂人，副教授，博士，储层地质力学，（Tel）15050827358（E-mail）wju@cumt.edu.cn
作者简介:张辉（1980-），男，青海湟中人，教授级高级工程师，博士，油气田地质力学，（Tel）13999623196（E-mail）zhh-tlm@petrochina.com.cn
基金资助:
国家科技重大专项(2016ZX05051);江苏省基础研究计划（自然科学基金）面上项目(BK20201349);中国石油科技重大专项(2018E-1803)

Prediction of Present-Day In-Situ Stress in Ultra-Deep Tight Sandstone Reservoirs in Bozi Gas Reservoir，Kuqa Depression

ZHANG Hui¹(), JU Wei²(), XU Ke¹, NING Weike², YIN Guoqing¹, WANG Zhimin¹, YU Guodong²

1. Research Institute of Exploration and Development，Tarim Oilfield Company，PetroChina，Korla，Xinjiang 841000，China
2. School of Resources and Earth Sciences，China University of Mining and Technology，Xuzhou，Jiangsu 221116，China

Received:2022-07-29 Revised:2022-09-21 Online:2023-04-01 Published:2023-03-31

摘要/Abstract

摘要：

库车坳陷超深层油气资源丰富，储集层非均质性强，井间产能差异明显。现今地应力在井轨迹部署、水平井施工、压裂设计等方面均具有重要作用，但当前研究方法存在诸多弊端。在实测现今地应力基础上，构建地应力与测井参数的关系，利用BP神经网络实现了库车坳陷博孜气藏超深致密砂岩储集层现今地应力预测。结果表明：BP神经网络是预测地应力的有效方法，地应力预测结果与实测值误差较小，总体在10%以内；库车坳陷博孜气藏下白垩统最大水平主应力最大，垂向主应力次之，最小水平主应力最小，整体表现为走滑型应力机制，最大水平主应力在博孜气藏东部优势方位呈北东—南西向，在西部呈北西—南东向；砂泥岩互层段相较于纯砂岩段，地应力波动强，局部存在突发高地应力；在博孜气藏东部沿北东—南西向、西部沿北西—南东向钻取的水平井井壁较为稳定，直井存在井壁垮塌的风险。

关键词: 库车坳陷, 博孜气藏, 白垩系, 超深层, 致密砂岩, 现今地应力, BP神经网络

Abstract:

The ultra-deep formations in the Kuqa depression are rich in oil and gas resources，with strong reservoir heterogeneity and obvious well-to-well productivity difference. The present-day in-situ stress plays an important role in wellbore trajectory design，horizontal well operations，and fracturing design，but the current research methods are disadvantageous in many aspects. On the basis of the measured present-day in-situ stress，the relationship between in-situ stress and logging parameters was constructed，and the prediction of the present-day in-situ stress in the ultra-deep tight sandstone reservoirs in the Bozi gas reservoir of Kuqa depression was realized by using BP neural network. The results show that BP neural network is an effective method for predicting in-situ stress，with just a small error between the predicted and measured in-situ stress values，which is generally less than 10%. In the Lower Cretaceous of the Bozi gas reservoir，the maximum horizontal principal stress is the largest，followed by the vertical principal stress，and the minimum horizontal principal stress is the smallest. Generally，the strike-slip stress mechanism is universal，and the maximum horizontal principal stress is predominantly NE-SW trending in the east and NW-SE trending in the west of the Bozi gas reservoir. Compared with sandstone intervals，the sandstone-mudstone interbedding interval exhibits a stronger fluctuation of in-situ stress and a sudden high in-situ stress locally. The horizontal wells drilled along NE-SW direction in the east of the Bozi gas reservoir and along NW-SE direction in the west are relatively stable，while the vertical wells are prone to collapse.

Key words: Kuqa depression, Bozi gas reservoir, Cretaceous, ultra-deep formation, tight sandstone, present-day in-situ stress, BP neural network

中图分类号:

TE122.1

张辉, 鞠玮, 徐珂, 宁卫科, 尹国庆, 王志民, 于国栋. 库车坳陷博孜气藏超深致密砂岩储集层现今地应力预测[J]. 新疆石油地质, 2023, 44(2): 224-230.

ZHANG Hui, JU Wei, XU Ke, NING Weike, YIN Guoqing, WANG Zhimin, YU Guodong. Prediction of Present-Day In-Situ Stress in Ultra-Deep Tight Sandstone Reservoirs in Bozi Gas Reservoir，Kuqa Depression[J]. Xinjiang Petroleum Geology, 2023, 44(2): 224-230.

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参考文献 32

[1]	胡文瑞, 鲍敬伟, 胡滨. 全球油气勘探进展与趋势[J]. 石油勘探与开发, 2013, 40(4):409-413.
	HU Wenrui, BAO Jingwei, HU Bin. Trend and progress in global oil and gas exploration[J]. Petroleum Exploration and Development, 2013, 40(4):409-413. doi: 10.1016/S1876-3804(13)60052-X
[2]	ZOU Caineng, HOU Lianhua, HU Suyun, et al. Prospect of ultra-deep petroleum onshore China[J]. Energy Exploration and Exploitation, 2014, 32(1):19-40. doi: 10.1260/0144-5987.32.1.19
[3]	郭旭升, 周德华, 赵培荣, 等. 鄂尔多斯盆地石炭系-二叠系煤系非常规天然气勘探开发进展与攻关方向[J]. 石油与天然气地质, 2022, 43(5):1 013-1 023.
	GUO Xusheng, ZHOU Dehua, ZHAO Peirong, et al. Progresses and directions of unconventional natural gas exploration and development in the Carboniferous-Permian coal measure strata,Ordos basin[J]. Oil & Gas Geology, 2022, 43(5):1 013-1 023.
[4]	张光亚, 马锋, 梁英波, 等. 全球深层油气勘探领域及理论技术进展[J]. 石油学报, 2015, 36(9):1 156-1 166.
	ZHANG Guangya, MA Feng, LIANG Yingbo, et al. Domain and theory-technology progress of global deep oil and gas exploration[J]. Acta Petrolei Sinica, 2015, 36(9):1 156-1 166.
[5]	黎茂稳, 马晓潇, 金之钧, 等. 中国海、陆相页岩层系岩相组合多样性与非常规油气勘探意义[J]. 石油与天然气地质, 2022, 43(1):1-25.
	LI Maowen, MA Xiaoxiao, JIN Zhijun, et al. Diversity in the lithofacies assemblages of marine and lacustrine shale strata and significance for unconventional petroleum exploration in China[J]. Oil & Gas Geology, 2022, 43(1):1-25.
[6]	李剑, 佘源琦, 高阳, 等. 中国陆上深层-超深层天然气勘探领域及潜力[J]. 中国石油勘探, 2019, 24(4):403-417. doi: 10.3969/j.issn.1672-7703.2019.04.001
	LI Jian, SHE Yuanqi, GAO Yang, et al. Onshore deep and ultra-deep natural gas exploration fields and potentials in China[J]. China Petroleum Exploration, 2019, 24(4):403-417. doi: 10.3969/j.issn.1672-7703.2019.04.001
[7]	江同文, 张辉, 徐珂, 等. 超深层裂缝型储层最佳井眼轨迹量化优选技术与实践:以克拉苏构造带博孜A气藏为例[J]. 中国石油勘探, 2021, 26(4):149-161.
	JIANG Tongwen, ZHANG Hui, XU Ke, et al. Technology and practice of quantitative optimization of borehole trajectory in ultra-deep fractured reservoir:a case study of Bozi A gas reservoir in Kelasu structural belt,Tarim basin[J]. China Petroleum Exploration, 2021, 26(4):149-161.
[8]	冯佳睿, 高志勇, 崔京钢, 等. 深层、超深层碎屑岩储层勘探现状与研究进展[J]. 地球科学进展, 2016, 31(7):718-736. doi: 10.11867/j.issn.1001-8166.2016.07.0718.
	FENG Jiarui, GAO Zhiyong, CUI Jinggang, et al. The exploration status and research advances of deep and ultra-deep clastic reservoirs[J]. Advances in Earth Science, 2016, 31(7):718-736. doi: 10.11867/j.issn.1001-8166.2016.07.0718.
[9]	徐珂, 田军, 杨海军, 等. 塔里木盆地库车坳陷超深层现今地应力对储层品质的影响及实践应用[J]. 天然气地球科学, 2022, 33(1):13-23.
	XU Ke, TIAN Jun, YANG Haijun, et al. Effects and practical applications of present-day in-situ stress on reservoir quality in ultra-deep layers of Kuqa depression,Tarim basin[J]. Natural Gas Geoscience, 2022, 33(1):13-23.
[10]	徐珂, 张辉, 刘新宇, 等. 库车坳陷深层裂缝性储层现今地应力特征及其对天然气勘探开发的指导意义[J]. 油气地质与采收率, 2022, 29(2):34-45.
	XU Ke, ZHANG Hui, LIU Xinyu, et al. Current in-situ stress characteristics of deep fractured reservoirs in Kuqa depression and its guiding significance to natural gas exploration and development[J]. Petroleum Geology and Recovery Efficiency, 2022, 29(2):34-45.
[11]	ZHANG Hui, JU Wei, XU Ke, et al. Present-day in situ stress prediction in Bozi 3 deep sandstone reservoir,Kuqa depression:implications for gas development[J]. Arabian Journal of Geosciences, 2021, 14:1 434.
[12]	张辉, 尹国庆, 王海应. 塔里木盆地库车坳陷天然裂缝地质力学响应对气井产能的影响[J]. 天然气地球科学, 2019, 30(3):379-388.
	ZHANG Hui, YIN Guoqing, WANG Haiying. Effects of natural fractures geomechanical response on gas well productivity in Kuqa depression,Tarim basin[J]. Natural Gas Geoscience, 2019, 30(3):379-388.
[13]	江同文, 张辉, 徐珂, 等. 克深气田储层地质力学特征及其对开发的影响[J]. 西南石油大学学报(自然科学版), 2020, 42(4):1-12.
	JIANG Tongwen, ZHANG Hui, XU Ke, et al. Reservoir geomechanical characteristics and the influence on development in Keshen gas field[J]. Journal of Southwest Petroleum University (Science & Technology Edition), 2020, 42(4):1-12.
[14]	BELL J S. In situ stresses in sedimentary rocks(part 2):applications of stress measurements[J]. Geoscience Canada, 1996, 23(3):135-153.
[15]	李志明, 张金珠. 地应力与油气勘探开发[M]. 北京: 石油工业出版社, 1997:402.
	LI Zhiming, ZHANG Jinzhu. In-situ stress and petroleum and gas exploration and development[M]. Beijing: Petroleum Industry Press, 1997:402.
[16]	徐珂, 杨海军, 张辉, 等. 克拉苏构造带博孜 1气藏现今地应力场和高效开发[J]. 新疆石油地质, 2021, 42(6):726-734.
	XU Ke, YANG Haijun, ZHANG Hui, et al. Current in-situ stress field and efficient development of Bozi-1 gas reservoir in Kelasu structural belt[J]. Xinjiang Petroleum Geology, 2021, 42(6):726-734.
[17]	周文, 闫长辉, 王世泽, 等. 油气藏现今地应力场评价方法及应用[M]. 北京: 地质出版社, 2007:179.
	ZHOU Wen, YAN Changhui, WANG Shize, et al. The evaluation method and application of present-day in-situ stress in petroleum and gas reservoirs[M]. Beijing: Geological Publishing House, 2007:179.
[18]	鞠玮, 牛小兵, 冯胜斌, 等. 页岩油储层现今地应力场与裂缝有效性评价:以鄂尔多斯盆地延长组长7油层组为例[J]. 中国矿业大学学报, 2020, 49(5):931-940.
	JU Wei, NIU Xiaobing, FENG Shengbin, et al. The present-day in-situ stress state and fracture effectiveness evaluation in shale oil reservoir:a case study of the Yanchang formation Chang 7 oil-bearing layer in the Ordos basin[J]. Journal of China University of Mining & Technology, 2020, 49(5):931-940.
[19]	尹帅, 丁文龙, 高敏东, 等. 樊庄北部3号煤层现今应力场分布数值模拟[J]. 西南石油大学学报(自然科学版), 2017, 39(4):81-89.
	YIN Shuai, DING Wenlong, GAO Mindong, et al. The in-situ stress field distribution numerical simulation of No.3 coal seam in the north of Fanzhuang CBM well blocks[J]. Journal of Southwest Petroleum University(Science & Technology Edition), 2017, 39(4):81-89.
[20]	JU Wei, WANG Ke. A preliminary study of the present-day in-situ stress state in the Ahe tight gas reservoir,Dibei gasfield,Kuqa depression[J]. Marine and Petroleum Geology, 2018, 96:154-165. doi: 10.1016/j.marpetgeo.2018.05.036
[21]	LIU Jingshou, YANG Haimeng, WU Xiaofei, et al. The in situ stress field and microscale controlling factors in the Ordos basin,central China[J]. International Journal of Rock Mechanics and Mining Sciences, 2020, 135:104 482.
[22]	鞠玮, 牛小兵, 侯贵廷, 等. 鄂尔多斯盆地现今地应力场与致密油勘探开发[M]. 江苏徐州: 中国矿业大学出版社, 2021:150.
	JU Wei, NIU Xiaobing, HOU Guiting, et al. The present-day in-situ stress field and tight oil exploration and development in the Ordos basin[M]. Xuzhou,Jiangsu: China University of Mining and Technology Press, 2021:150.
[23]	王珂, 张荣虎, 曾庆鲁, 等. 库车坳陷博孜—大北地区下白垩统深层—超深层储层特征及成因机制[J]. 中国矿业大学学报, 2022, 51(2):311-328.
	WANG Ke, ZHANG Ronghu, ZENG Qinglu, et al. Characteristics and formation mechanism of Lower Cretaceous deep and ultra-deep reservoir in Bozi-Dabei area,Kuqa depression[J]. Journal of China University of Mining & Technology, 2022, 51(2):311-328.
[24]	陈晨, 朱希安, 王占刚. 神经网络在地应力预测中的应用研究[J]. 山东煤炭科技, 2015, 33(11):156-158.
	CHEN Chen, ZHU Xi’an, WANG Zhangang. Study on application of neural network in in-situ stress prediction[J]. Shandong Coal Science and Technology, 2015, 33(11):156-158.
[25]	蒋海燕, 施小斌, 杨小秋, 等. 基于BP神经网络的测井资料预测岩石导热率[J]. 测井技术, 2012, 36(3):304-307.
	JIANG Haiyan, SHI Xiaobin, YANG Xiaoqiu, et al. Prediction of thermal conductivity of rocks through geophysical well logs based on BP neural network[J]. Well Logging Technology, 2012, 36(3):304-307.
[26]	余晓露, 叶恺, 杜崇娇, 等. 基于卷积神经网络的碳酸盐岩生物化石显微图像识别[J]. 石油实验地质, 2021, 43(5):880-885.
	YU Xiaolu, YE Kai, DU Chongjiao, et al. Microscopic recognition of micro fossils in carbonate rocks based on convolutional neural network[J]. Petroleum Geology & Experiment, 2021, 43(5):880-885.
[27]	李鑫羽, 欧阳传湘, 杨博文, 等. 基于BP神经网络的黏土矿物预测模型[J]. 新疆石油地质, 2021, 42(5):624-629.
	LI Xinyu, OUYANG Chuanxiang, YANG Bowen, et al. BP neural network-based models to predict clay minerals[J]. Xinjiang Petroleum Geology, 2021, 42(5):624-629.
[28]	尚福华, 王玮卿, 曹茂俊. 基于改进BP神经网络的页岩地应力预测模型[J]. 计算机技术与发展, 2021, 31(7):164-170.
	SHANG Fuhua, WANG Weiqing, CAO Maojun. Shale in-situ stress prediction model based on improved BP neural network[J]. Computer Technology and Development, 2021, 31(7):164-170.
[29]	谢润成. 川西坳陷须家河组探井地应力解释与井壁稳定性评价[D]. 成都: 成都理工大学, 2009.
	XIE Runcheng. Stress interpretation and wellbore stability evaluation of Xujiahe formation of exploration wells in western Sichuan depression[D]. Chengdu: Chengdu University of Technology, 2009.
[30]	MOOS D, PESKA P, FINKBEINER T, et al. Comprehensive wellbore stability analysis utilizing quantitative risk assessment[J]. Journal of Petroleum Science and Engineering, 2003, 38:97-109. doi: 10.1016/S0920-4105(03)00024-X
[31]	邓金根, 张洪生. 钻井工程中井壁失稳的力学机理[M]. 北京: 石油工业出版社, 1998:79.
	DENG Jingen, ZHANG Hongsheng. Mechanics of wellbore instability in drilling engineering[M]. Beijing: Petroleum Industry Press, 1998:79.
[32]	刘向君, 罗平亚, 孟英峰. 地应力场对井眼轨迹设计及稳定性的影响研究[J]. 天然气工业, 2004, 24(9):57-59.
	LIU Xiangjun, LUO Pingya, MENG Yingfeng. Influence of ground stress field on borehole trajectory design and well-face stability[J]. Natural Gas Industry, 2004, 24(9):57-59.

库车坳陷博孜气藏超深致密砂岩储集层现今地应力预测

Prediction of Present-Day In-Situ Stress in Ultra-Deep Tight Sandstone Reservoirs in Bozi Gas Reservoir，Kuqa Depression

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