[1] 翁定为,雷群,管保山,等.中美页岩油气储层改造技术进展及发展方向[J].石油学报,2023,44(12):2297-2307.
WENG Dingwei,LEI Qun,GUAN Baoshan,et al.Progress and development directions of reservoir stimulation techniques for shale oil and gas in China and the United States[J].Acta Petrolei Sinica,2023,44(12):2297-2307.
[2] 邹才能,杨智,何东博,等.常规-非常规天然气理论、技术及前景[J].石油勘探与开发,2018,45(4):575-587.
ZOU Caineng,YANG Zhi,HE Dongbo,et al.Theory,technology and prospects of conventional and unconventional natural gas[J].Petroleum Exploration and Development,2018,45(4):575-587.
[3] 雷群,王红岩,赵群,等.国内外非常规油气资源勘探开发现状及建议[J].天然气工业,2008,28(12):7-10.
LEI Qun,WANG Hongyan,ZHAO Qun,et al.Status analysis and advices on exploration and development of unconventional hydrocarbon resources[J].Natural Gas Industry,2008,28(12):7-10.
[4] 梁兴,单长安,王维旭,等.昭通国家级页岩气示范区勘探开发进展及前景展望[J].天然气工业,2022,42(8):60-77.
LIANG Xing,SHAN Chang'an,WANG Weixu,et al.Exploration and development in the Zhaotong National Shale Gas Demonstration Area in Yunnan:progress and prospect[J].Natural Gas Industry,2022,42(8):60-77.
[5] 邹才能,潘松圻,荆振华,等.页岩油气革命及影响[J].石油学报,2020,41(1):1-12.
ZOU Caineng,PAN Songqi,JING Zhenhua,et al.Shale oil and gas revolution and its impact[J].Acta Petrolei Sinica,2020,41(1):1-12.
[6] 赵宗举.《石油学报》中国致密油气勘探开发新领域及新技术论文专辑主编寄语[J].石油学报,2025,46(1):2-3.
ZHAO Zongju.Preface by the guest editor for the special issue on new domains and technologies in tight oil and gas exploration and development in Acta Petrolei Sinica[J].Acta Petrolei Sinica,2025,46(1):2-3.
[7] 赵文智,贾爱林,位云生,等.中国页岩气勘探开发进展及发展展望[J].中国石油勘探,2020,25(1):31-44.
ZHAO Wenzhi,JIA Ailin,WEI Yunsheng,et al.Progress in shale gas exploration in China and prospects for future development[J].China Petroleum Exploration,2020,25(1):31-44.
[8] 张金川,金之钧,袁明生.页岩气成藏机理和分布[J].天然气工业,2004,24(7):15-18.
ZHANG Jinchuan,Jin Zhijun,YUAN Mingsheng.Reservoiring mechanism of shale gas and its distribution[J].Natural Gas Industry,2004,24(7):15-18.
[9] 马永生,蔡勋育,赵培荣.中国页岩气勘探开发理论认识与实践[J].石油勘探与开发,2018,45(4):561-574.
MA Yongsheng,CAI Xunyu,ZHAO Peirong.China's shale gas exploration and development:understanding and practice[J].Petroleum Exploration and Development,2018,45(4):561-574.
[10] 曾联波,马诗杰,田鹤,等.富有机质页岩天然裂缝研究进展[J].地球科学,2022,47(1):1-15.
ZENG Lianbo,MA Shijie,TIAN He,et al.Research progress of natural fractures in organic rich shale[J].Earth Science,2022,47(1):1-15.
[11] 李奔,李岩,周福建,等.微支撑剂对页岩油气的增产机理及选配原则[J].地质与勘探,2020,56(3):627-634.
LI Ben,LI Yan,ZHOU Fujian,et al.Production enhancement mechanism of micro-proppant and its selection principles for shale oil and gas[J].Geology and Exploration,2020,56(3):627-634.
[12] 王威,蔡雨娜,刘洁.岩石三维微观结构定量研究方案与应用实例[J].地学前缘,2019,26(4):55-66.
WANG Wei,CAI Yu'na,LIU Jie.Quantitative analysis of 3D microtomographic data of rocks and its applications in geosciences[J].Earth Science Frontiers,2019,26(4):55-66.
[13] 戚超,王晓琦,王威,等.页岩储层微观裂缝三维精细表征方法[J].石油学报,2018,39(10):1175-1185.
QI Chao,WANG Xiaoqi,WANG Wei,et al.Three-dimensional fine characterization method of micro-fractures in shale reservoirs[J].Acta Petrolei Sinica,2018,39(10):1175-1185.
[14] 熊健,唐勇,刘向君,等.应用微CT技术研究砂砾岩孔隙结构特征——以玛湖凹陷百口泉组储集层为例[J].新疆石油地质,2018,39(2):236-243.
XIONG Jian,TANG Yong,LIU Xiangjun,et al.Using micro-CT scanning technology to study characteristics of pore structures in sandy conglomerate:a case from Baikouquan Formation in Mahu Sag,Junggar Basin[J].Xinjiang Petroleum Geology,2018,39(2):236-243.
[15] 张天付,熊冉,韦东晓,等.浅议储层地质研究中的CT技术[J].CT理论与应用研究,2018,27(2):213-226.
ZHANG Tianfu,XIONG Ran,WEI Dongxiao,et al.The discussion on CT technique application in reservoirs geology[J].CT Theory and Applications,2018,27(2):213-226.
[16] 蔡宇恒,滕奇志,涂秉宇.基于深度学习的岩石铸体薄片图像孔隙自动提取[J].科学技术与工程,2020,20(28):11685-11692.
CAI Yuheng,TENG Qizhi,TU Bingyu.Automatic extraction of pores in thin slice images of rock castings based on deep learning[J].Science Technology and Engineering,2020,20(28):11685-11692.
[17] 李天平,李功权.铸体薄片图像孔隙自动分割方法优选[J].电脑知识与技术,2023,19(5):19-22.
LI Tianping,LI Gongquan.Optimization of automatic pore segmentation methods for cast thin-section images[J].Computer Knowledge and Technology,2023,19(5):19-22.
[18] 李涛,李松臣,屈晓荣.页岩裂缝测井识别方法与评价技术综述[J].中外能源,2016,21(10):48-57.
LI Tao,LI Songchen,QU Xiaorong.Review on identification methods and evaluation technology of well logging in fractures of shale reservoir[J].Sino-Global Energy,2016,21(10):48-57.
[19] 刘之的,赵靖舟.鄂尔多斯盆地长7段油页岩裂缝测井定量识别[J].天然气地球科学,2014,25(2):259-265.
LIU Zhidi,ZHAO Jingzhou.Recognizing oil shale fracture of Chang 7 Member in Ordos Basin using logging data[J].Natural Gas Geoscience,2014,25(2):259-265.
[20] 李娇娜,卢双舫,郝爱萍.胜利油区车古20潜山储层特征及储层评价[J].复杂油气藏,2012,5(1):15-18.
LI Jiaona,LU Shuangfang,HAO Aiping.Characterization and evaluation of reservoir in Chegu 20 buried hill of Shengli Oilfield[J].Complex Hydrocarbon Reservoirs,2012,5(1):15-18.
[21] 久凯.贵州凤冈及周边地区下古生界页岩气储层表征及评价[D].北京:中国地质大学(北京),2020.
JIU Kai.Reservoir characterization and evaluation of Paleozoic shale in Fenggang Guizhou and surrounding areas[D].Beijing:China University of Geosciences(Beijing),2020.
[22] 李启翠,楼一珊,史文专,等.FMI成像测井在四川盆地页岩气地层中的应用[J].石油地质与工程,2013,27(6):58-60.
LI Qicui,LOU Yishan,SHI Wenzhuan,et al.Application of FMI imaging logging in shale gas formation of Sichuan Basin[J].Petroleum Geology and Engineering,2013,27(6):58-60.
[23] 唐小梅,曾联波,岳锋,等.鄂尔多斯盆地三叠系延长组页岩油储层裂缝特征及常规测井识别方法[J].石油天然气学报,2012,34(6):95-99.
TANG Xiaomei,ZENG Lianbo,YUE Feng,et al.Fracture characterization and identification by conventional logs of shale reservoirs in Ordos Basin[J].Journal of Oil and Gas Technology,2012,34(6):95-99.
[24] 张晓祎,郭和坤,沈瑞,等.页岩油气储层孔隙结构表征技术研究进展[J].应用化工,2021,50(2):444-449.
ZHANG Xiaoyi,GUO Hekun,SHEN Rui,et al.Research progress of pore structure characterization technology for shale oil and gas reservoirs[J].Applied Chemical Industry,2021,50(2):444-449.
[25] YUAN Y,REZAEE R,Al-KHDHEEAWIA E,et al.Impact of composition on pore structure properties in shale:implications for micro-/mesopore volume and surface area prediction[J].Energy & Fuels,2019,33(10):9619-9628.
[26] CLARKSON C R,SOLANO N,BUSTIN R M,et al.Pore structure characterization of North American shale gas reservoirs using USANS/SANS,gas adsorption,and mercury intrusion[J].Fuel,2013,103:606-616.
[27] 曾宏斌,王芙蓉,罗京,等.基于低温氮气吸附和高压压汞表征潜江凹陷盐间页岩油储层孔隙结构特征[J].地质科技通报,2021,40(5):242-252.
ZENG Hongbin,WANG Furong,LUO Jing,et al.Characteristics of pore structure of intersalt shale oi reservoir by low-temperature nitrogen adsorption and high-pressure mercury pressure methods in Qianjiang Sag[J].Bulletin of Geological Science and Technology,2021,40(5):242-252.
[28] 张云峰,臧起彪,孙博,等.基于氮吸附和压汞数据确定致密储层孔径分布——以松辽盆地大安油田扶余油层为例[J].深圳大学学报(理工版),2018,35(4):353-361.
ZHANG Yunfeng,ZANG Qibiao,SUN Bo,et al.Determination of pore-throat size distribution of tight reservoirs based on nitrogen adsorption and mercury injection data:an example from Fuyu oil layer in Daan Oilfield of Songliao Basin[J].Journal of Shenzhen University(Science and Engineering),2018,35(4):353-361.
[29] 郭英海,赵迪斐.微观尺度海相页岩储层微观非均质性研究[J].中国矿业大学学报,2015,44(2):300-307.
GUO Yinghai,ZHAO Difei.Analysis of micro-scale heterogeneity characteristics in marine shale gas reservoir[J].Journal of China University of Mining & Technology,2015,44(2):300-307.
[30] LEE B Y,KIM Y Y,YI S T,et al.Automated image processing technique for detecting and analyzing concrete surface cracks[J].Structure and Infrastructure Engineering,2013,9(6):567-577.
[31] YUAN J,CHEN M.Simplied calculation method for reinforcement of rectangular sectional flexural members considering crack width[J].Advanced Materials Research,2011,1336(295-297):618-621.
[32] 王平让,黄宏伟,薛亚东.基于图像局部网格特征的隧道衬砌裂缝自动识别[J].岩石力学与工程学报,2012,31(5):991-999.
WANG Pingrang,HUANG Hongwei,XUE Yadong.Automatic recognition of cracks in tunnel lining based on characteristics of local grids in images[J].Chinese Journal of Rock Mechanics and Engineering,2012,31(5):991-999.
[33] 宋佳.基于数字化方法的微裂缝特征研究[D].成都:成都理工大学,2011.
SONG Jia.The research on micro-fracture characteristics based on digital analysis method[D].Chengdu:Chengdu University of Technology,2011.
[34] 郭印同,杨春和,贾长贵,等.页岩水力压裂物理模拟与裂缝表征方法研究[J].岩石力学与工程学报,2014,33(1):52-59.
GUO Yintong,YANG Chunhe,JIA Changgui,et al.Research on hydraulic fracturing physical simulation of shale and fracture characterization methods[J].Chinese Journal of Rock Mechanics and Engineering,2014,33(1):52-59.
[35] 周英杰,张敬轩,杜玉山,等.埕北30潜山岩心裂缝的分维数及与裂缝密度的关系[J].油气地质与采收率,2004,11(3):19-21.
ZHOU Yingjie,ZHANG Jingxuan,DU Yushan,et al.Fractal dimension of core fractures in Chengbei 30 Buried Hill Reservoir and its relation to fracture density[J].Petroleum Geology and Recovery Efficiency,2004,11(3):19-21.
[36] 刘恩良,袁俊亮,霍守东,等.基于深度学习的页岩地质露头裂缝特征自动识别[J].科学技术与工程,2024,24(30):12853-12863.
LIU Enliang,YUAN Junliang,HUO Shoudong,et al.Automatic recognition of fracture characteristics from shale geological outcrop based on deep learning[J].Science Technology and Engineering,2024,24(30):12853-12863.
[37] 董少群,曾联波,车小花,等.人工智能在致密储层裂缝测井识别中的应用[J].地球科学,2023,48(7):2443-2461.
DONG Shaoqun,ZENG Lianbo,CHE Xiaohua,et al.Application of artificial intelligence in fracture identification using well logs in tight reservoirs[J].Earth Science,2023,48(7):2443-2461.
[38] 于豪,黄家强,兰雪梅,等.川西北双鱼石地区栖霞组地震资料优化处理及裂缝预测技术应用[J].科学技术与工程,2020,20(22):8933-8942.
YU Hao,HUANG Jiaqiang,LAN Xuemei,et al.Application of seismic data optimal processing and fracture prediction in the Shuangyushi Block,northwest Sichuan[J].Science Technology and Engineering,2020,20(22):8933-8942.
[39] ZHANG L H,SHAN B C,ZHAO Y L,et al.Establishment of apparent permeability model and seepage flow model for shale reservoir[J].Lithologic Reservoirs,2017,29(6):108-118.
[40] 李良福,王楠,武彪,等.基于改进PSPNet的桥梁裂缝图像分割算法[J].激光与光电子学进展,2021,58(22):101-109.
LI Liangfu,WANG Nan,WU Biao,et al.Segmentation algorithm of bridge crack image based on modified PSPNet[J].Laser & Optoelectronics Progress,2021,58(22):101-109.
[41] 黄鹏,郑淇,梁超.图像分割方法综述[J].武汉大学学报(理学版),2020,66(6):519-531.
HUANG Peng,ZHENG Qi,LIANG Chao.Overview of image segmentation methods[J].Journal of Wuhan University(Natural Science Edition),2020,66(6):519-531.
[42] 卢旭,刘钊.基于深度学习的图像语义分割技术综述[J].软件导刊,2021,20(1):242-244.
LU Xu,LIU Zhao.A review of image semantic segmentation based on deep learning[J].Software Guide,2021,20(1):242-244.
[43] HE K,GKIOXARI G,DOLLáR P,et al.Mask R-CNN[C].Proceedings of the IEEE international conference on computer vision.2017:2961-2969.
[44] REN S,HE K,GIRSHICK R,et al.Faster R-CNN:towards real-time object detection with region proposal networks[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2017,39(6):1137-1149.
[45] 吴思琪,王庆,曾齐红,等.基于深度学习的露头地层剖面裂缝自动提取[J].石油物探,2023,62(2):245-257.
WU Siqi,WANG Qing,ZENG Qihong,et al.Automatic fracture extraction from outcrops using deep learning[J].Geophysical Prospecting for Petroleum,2023,62(2):245-257.
[46] 姚军,孙海,樊冬艳,等.页岩气藏运移机制及数值模拟[J].中国石油大学学报(自然科学版),2013,37(1):91-98.
YAO Jun,SUN Hai,FAN Dongyan,et al.Transport mechanisms and numerical simulation of shale gas reservoirs[J].Journal of China University of Petroleum(Edition of Natural Science),2013,37(1):91-98.
[47] 姜瑞忠,原建伟,崔永正,等.考虑岩石变形的页岩气藏双重介质数值模拟[J].油气地质与采收率,2019,26(4):70-76.
JIANG Ruizhong,YUAN Jianwei,CUI Yongzheng,et al.Dual media numerical simulation of shale gas reservoirs considering rock deformation[J].Petroleum Geology and Recovery Efficiency,2019,26(4):70-76.
[48] 孙若凡,张彦军,张秀玲,等.双重介质致密油藏压裂水平井产能预测模型及参数分析[J].科学技术与工程,2019,19(10):89-96.
SUN Ruofan,ZHANG Yanjun,ZHANG Xiuling,et al.Productivity prediction model and parameter analysis for fractured horizontal wells in double medium tight oil reservoirs[J].Science Technology and Engineering,2019,19(10):89-96.
[49] LIU C Q.The unsteady radial flow of compressible liquids through a medium with multiple porosity[C].SPE10580,1982:35-46.
[50] ABDASSAH D,ERSHAGHI I.Triple-porosity systems for representing naturally fractured reservoirs[J].SPE Formation Evaluation,1986,1(2):113-127.
[51] WU Y S,MORIDIS G,BAI B,et al.A multi-continuum model for gas production in tight fractured reservoirs[C].SPE118944-MS,2009:176-195.
[52] ZHANG M,YAO J,SUN H,et al.Triple-continuum modeling of shale gas reservoirs considering the effect of kerogen[J].Journal of Natural Gas Science and Engineering,2015,24:252-263.
[53] NOORISHAD J,MEHRAN M.An upstream finite element method for solution of transient transport equation in fractured porous media[J].Water Resources Research,1982,18(3):588-596.
[54] BACA R G,ARNETT R C,LANGFORD D W.Modelling fluid flow in fractured-porous rock masses by finite-element techniques[J].International Journal for Numerical Methods in Fluids,1984,4(4):337-348.
[55] MI L D,JIANG Q Q,LI J J.The impact of diffusion type on multiscale discrete fracture model numerical simulation for shale gas[J].Journal of Natural Gas Science and Engineering,2014,20:74-81.
[56] LI J J,JIANG H Q,JIANG L L,et al.Varying-scale shale gas flow:discrete fracture networks(DFN)based numerical simulation[J].Particulate Science and Technology,2016,34(5):557-564.
[57] 牛骏,苏建政,严侠,等.基于嵌入式离散裂缝和扩展有限元的裂缝性页岩油藏流固耦合高效数值模拟方法[J].科学技术与工程,2020,20(7):2643-2651.
NIU Jun,SU Jianzheng,YAN Xia,et al.An efficient numerical simulation method with hydro-mechanical coupling model of fractured shale oil reservoir based on embedded discrete fracture model and extended finite element method[J].Science Technology and Engineering,2020,20(7):2643-2651.
[58] 饶翔,程林松,曹仁义,等.适用于任意形状倾斜裂缝面的三维嵌入式离散裂缝模型前处理算法[J].科学技术与工程,2020,20(3):1035-1053.
RAO Xiang,CHENG Linsong,CAO Renyi,et al.Pre-processing algorithm of three-dimensional embedded discrete fracture model for inclined fracture with arbitrary shape[J].Science Technology and Engineering,2020,20(3):1035-1053.
[59] MONINFAR A,VARAVEI A,SEOEGRBIIRI K,et al.Development of a coupled dual continuum and discrete fracture model for the simulation of unconventional reservoirs[C].SPE163647-MS,2013:235-254.
[60] 肖尊荣,赵玉龙,张烈辉,等.基于双重介质嵌入式离散裂缝模型的致密油藏产能影响因素[J].科学技术与工程,2023,23(25):10780-10790.
XIAO Zunrong,ZHAO Yulong,ZHANG Liehui,et al.Capacity of compact reservoir based on dual medium embedded discrete crack model[J].Science Technology and Engineering,2023,23(25):10780-10790.
[61] WU Y S,WANG C,LI J,et al.Transient gas flow in unconventional gas reservoirs[C].SPE154448-MS,2012:97-112.
[62] 卫鹏云,施安峰,王晓宏,等.页岩气藏的双重介质离散裂缝模型[J].力学季刊,2015,36(2):179-188.
WEI Pengyun,SHI Anfeng,WANG Xiaohong,et al.A discrete fracture-dual porosity coupling model for shale gas reservoirs[J].Chinese Quarterly of Mechanics,2015,36(2):179-188.
[63] 李泽沛,彭小龙,王毅.基于三重介质模型的体积压裂后页岩气储层数值模拟模型[J].油气地质与采收率,2016,23(6):105-111.
LI Zepei,PENG Xiaolong,WANG Yi.Numerical simulation method of shale gas reservoirs after stimulated reservoir volume fracturing based on triple porous media model[J].Petroleum Geology and Recovery Efficiency,2016,23(6):105-111.
[64] 陈小凡,唐潮,杜志敏,等.基于有限体积方法的页岩气多段压裂水平井数值模拟[J].天然气工业,2018,38(12):77-86.
CHEN Xiaofan,TANG Chao,DU Zhimin,et al.Numerical simulation on multi-stage fractured horizontal wells in shale gas reservoirs based on the finite volume method[J].Natural Gas Industry,2018,38(12):77-86.
[65] 张佳琦,赵靖舟,曹磊,等.鄂尔多斯盆地三叠系延长组长8-长9油层组泥页岩储层孔隙和微裂缝发育特征与页岩油勘探前景[J].石油与天然气地质,2025,46(5):1554-1581.
ZHANG Jiaqi,ZHAO Jingzhou,CAO Lei,et al.Pore and microfracture characteristics and shale oil exploration prospects of shale reservoirs in the 8th to 9th oil groups of the Triassic Yanchang Formation,Ordos Basin[J].Oil & Gas Geology,2025,46(5):1554-1581.
[66] 雷启鸿,马福建,何右安,等.鄂尔多斯盆地陆相页岩油藏天然裂缝刻画与储层改造对策[J].中国石油勘探,2024,29(3):131-145.
LEI Qihong,MA Fujian,HE Youan,et al.Characterization of natural fractures and reservoir reconstruction strategy for continental shale oil reservoir in Ordos Basin[J].China Petroleum Exploration,2024,29(3):131-145.
[67] 刘合,李金波,余昊,等.基于高精度物理力学表征的古龙页岩裂缝扩展机制[J].大庆石油地质与开发,2025,44(6):12-20.
LIU He,LI Jinbo,YU Hao,et al.Fracture propagation mechanism of Gulong shale based on high-precision physical and mechanical characterization[J].Petroleum Geology & Oilfield Development in Daqing,2025,44(6):12-20.
[68] 吴建发,曾波,黄浩勇,等.川南页岩气地质工程一体化实践成效与认识[J].中国石油勘探,2024,29(3):81-90.
WU Jianfa,ZENG Bo,HUANG Haoyong,et al.Achievement and understanding of geology and engineering integrated shale gas development practice in southern Sichuan Basin[J].China Petroleum Exploration,2024,29(3):81-90.
[69] 刘惠民,李军亮,刘鑫金,等.渤海湾盆地东营凹陷沙四上亚段—沙三下亚段页岩裂缝发育特征及成因机制[J].石油与天然气地质,2025,46(6):1960-1979..
LIU Huimin,LI Junliang,LIU Xinjin,et al.Characteristics and genetic mechanism of natural fractures in shales from the upper sub-member of the Sha 4 Member to the lower sub-member of the Sha 3 Member in the Dongying Sag,Bohai Bay Basin[J].Oil & Gas Geology,2025,46(6):1960-1979.
[70] 宿晓岑,巩磊,朱如凯,等.松辽盆地古龙页岩油储层天然裂缝发育特征、控制因素及油气地质意义[J].大庆石油地质与开发,2025,44(6):76-86.
SU Xiaocen,GONG Lei,ZHU Rukai,et al.Development characteristics,controlling factors and hydrocarbon geological significance of natural fractures in Gulong shale reservoirs of Songliao Basin[J].Petroleum Geology & Oilfield Development in Daqing,2025,44(6):76-86.
[71] 郑马嘉,郭兴午,伍亚,等.四川盆地德阳-安岳裂陷槽寒武系筇竹寺组超深层页岩气地质工程一体化高产井培育实践与勘探突破[J].中国石油勘探,2024,29(3):58-68.
ZHENG Majia,GUO Xingwu,WU Ya,et al.Cultivation practice and exploration breakthrough of geology and engineering integrated high-yield wells of ultra-deep shale gas in the Cambrian Qiongzhusi Formation in Deyang-Anyue aulacogen,Sichuan Basin[J].China Petroleum Exploration,2024,29(3):58-68.
[72] 臧雨溪,王海柱,王斌,等.鄂尔多斯盆地页岩油储层前置CO2压裂流体分布特征[J].西安石油大学学报(自然科学版),2024,39(2):55-61.
ZANG Yuxi,WANG Haizhu,WANG Bin,et al.Fluid distribution characteristics in CO2 fracturing for shale oil reservoirs in Ordos Basin[J].Journal of Xi'an Shiyou University (Natural Science Edition),2024,39(2):55-61.
[73] 段贵府,牟建业,闫骁伦,等.川南深层页岩气水平井压裂窜扰主控因素及诱导机制[J].中国石油勘探,2024,29(3):146-158.
DUAN Guifu,MoU Jianye,YAN Xiaolun,et al.Key controlling factors and inducement mechanism of fracture-driven interactions (FDIs) between deep shale gas horizontal wells in southern Sichuan Basin[J]. China Petroleum Exploration,2024,29(3):146-158.
[74] 杜晓宇,金之钧,曾联波,等.基于成像测井的深层陆相页岩油储层天然裂缝有效性评价[J].石油与天然气地质,2024,45(3):852-865.
DU Xiaoyu,JIN Zhijun,ZENG Lianbo,et al.Evaluation of natural fracture effectiveness in deep lacustrine shale oil reservoirs based on formation microresistivity imaging logs[J].Oil & Gas Geology,2024,45(3):852-865.
[75] 齐银,薛小佳,戴彩丽,等.页岩油储层前置CO2压裂返排提高原油动用机理:以长庆油田为例[J].西安石油大学学报(自然科学版),2025,40(1):32-38.
QI Yin,XUE Xiaojia,DAI Caili,et al.Study on mechanism of improving recovery of shale oil by preposed CO2 fracturing:taking Changqing Oilfield as an example[J].Journal of Xi'an Shiyou University (Natural Science Edition),2025,40(1):32-38.