Special Oil & Gas Reservoirs >

2026 , Vol. 33 >Issue 2: 54 - 63

DOI: https://doi.org/10.3969/j.issn.1006-6535.2026.02.006

Geologic Exploration

Seismic fracture prediction technology based on multi-pixel attribute fusion for deep coal-measure gas reservoirs

  • ZHANG Guowei ,
  • XIE Huiwen ,
  • LI Ling ,
  • ZHAO Tiantian ,
  • HOU Xinyu ,
  • SHEN Lin
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  • 1. R & D Center for Ultra-Deep Complex Reservoir Exploration and Development,CNPC,Korla,Xinjiang 841000,China;
    2. Engineering Research Center for Ultra-deep Complex Reservoir Exploration and Development,Xinjiang Uygur Autonomous Region,Korla,Xinjiang 841000,China;
    3. Xinjiang Key Laboratory of Ultra-Deep Oil & Gas,Korla,Xinjiang 841000,China

Received date: 2025-04-08

  Revised date: 2025-12-07

  Online published: 2026-07-30

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Abstract

Fractures are the main flow conduits in coal reservoirs,and the accuracy of their prediction directly affects development outcomes.Targeting the issues of low signal-to-noise ratio of seismic data,great difficulty and low accuracy in post-stack fracture identification for the Kizilnur Formation coal reservoirs in Dibei Area of Tarim Basin,a multi-attribute pixel-level fusion technique was applied to comprehensively identify coal reservoir fractures.Considering the fracture-controlling effect of structural deformation intensity,a nonlinear relationship model was established among fault zones under structural control,structural curvature,and fracture density.The research shows that the multi-attribute fusion volume is more sensitive to subtle deformation and small faults,predicting fracture spatial distribution with little noise influence and yielding clear sheet-like features.Fractures in Dibei Area exhibit significant structural zonation:fracture density grows exponentially with structural curvature;high-angle tensile fractures predo minantly develop in the core of structural uplifts,with apertures of 20-35 μm;the deviation between dominant fracture orientations and the direction of maximum curvature is less than 10°.This fracture prediction method has guided subsequent well deployment in Dibei Area;the correspondence between predicted fractures and image log results reaches about 80%,fully demonstrating the method feasibility in guiding fracture prediction and optimizing drilling deployment,providing critical support for efficient development of deep coal-rock gas.

Key words： coal-rock gas; structural control; fracture prediction; Kizilnur Formation; Tarim Basin; multi-pixel

Cite this article

ZHANG Guowei , XIE Huiwen , LI Ling , ZHAO Tiantian , HOU Xinyu , SHEN Lin . Seismic fracture prediction technology based on multi-pixel attribute fusion for deep coal-measure gas reservoirs[J]. Special Oil & Gas Reservoirs, 2026 , 33(2) : 54 -63 . DOI: 10.3969/j.issn.1006-6535.2026.02.006

References

[1] 张懿,朱光辉,郑求根,等.中国煤层气资源分布特征及勘探研究建议[J].非常规油气,2022,9(4):1-8.
ZHANG Yi,ZHU Guanghui,ZHENG Qiugen,et al.Distribution characteristics of coalbed methane resources in China and recommendations for exploration research[J].Unconventional Oil & Gas,2022,9(4):1-8.
[2] 印兴耀,马正乾,向伟,等.地震岩石物理驱动的裂缝预测技术研究现状与进展(I)——裂缝储层岩石物理理论[J].石油物探,2022,61(2):183-202.
YIN Xingyao,MA Zhengqian,XIANG Wei,et al.Review of fracture prediction driven by the seismic rock physics theory(I):effective anisotropic seismic rock physics theory for petroleum[J].Geophysical Prospecting,2022,61(2):183-202.
[3] 刘俊州,韩磊,时磊,等.致密砂岩储层多尺度裂缝地震预测技术——以川西XC地区为例[J].石油与天然气地质,2021,42(3):747-754.
LIU Junzhou,HAN Lei,SHI Lei,et al.Seismic prediction of tight sandstone reservoir fractures in XC Area,western Sichuan Basin[J].Oil & Gas Geology,2021,42(3):747-754
[4] CHEN Shuangquan,ZENG Lianbo,HUANG Ping,et al.The application study on the multi-scales integrated prediction method to fractured reservoir description[J].Applied Geophysics,2016,13(1):80-92.
[5] 徐丽萍,杨勤勇.多波多分量地震技术发展与展望[J].勘探地球物理进展,2002,25(3):47-52.
XU Liping,Yang Qinyong.On the development and prospect of multi-wave multicomponent seismology[J].Petroleum Reservoir Evaluation and Development,2002,25(3):47-52.
[6] 王光杰,陈东,赵爱华,等.多波多分量地震探测技术[J].地球物理学进展,2000,15(1):54-60.
WANG Guangjie,CHEN Dong,ZHAO Aihua,et al.Multi-component seismic exploration[J].Progress in Geophysics,2000,15(1):54-60.
[7] 杨柳,沈亚,管俊亚,等.多维数据裂缝检测技术探索及应用[J].石油地球物理勘探,2016,51(增刊):58-63.
YANG Liu,SHEN Ya,GUAN Junya,et al.Fracture detection based on multi-dimension data[J].Oil Geophysical Prospecting,2016,51(S):58-63.
[8] 陈永波,张虎权,张寒,等.基于OVT域偏移数据的云质岩储层预测技术及应用:以玛湖凹陷乌夏地区风三段为例[J].岩性油气藏,2021,33(6):145-155.
CHEN Yongbo,ZHANG Huquan,ZHANG Han,et al.Dolomitic reservoir prediction technology based on OVT domain migration data and its application:a case study of Feng 3 Member in Wuxia Area,Mahu Sag[J].Lithologic Reservoirs,2021,33(6):145-155.
[9] 吴聿元,陈贞龙.延川南深部煤层气勘探开发面临的挑战和对策[J].油气藏评价与开发,2020,10(4):1-11.
WU Yuyuan,CHEN Zhenlong.Challenges and countermeasures for exploration and development of deep CBM of south Yanchuan[J]. Reservoir Evaluation and Development,2020,10(4):1-11.
[10] 贾承造,庞雄奇.深层油气地质理论研究进展与主要发展方向[J].石油学报,2015,36(12):1457-1469.
JIA Chengzao,PANG Xiongqi.Research processes and main development directions of deep hydrocarbon geological theories[J].Acta Petrolei Sinica,2015,36(12):1457-1469.
[11] 李阳,薛兆杰,程喆,等.中国深层油气勘探开发进展与发展方向[J].中国石油勘探,2020,25(1):45-57.
LI Yang,XUE Zhaojie,CHENG Zhe,et al.Progress and development directions of deep oil and gas exploration and development in China[J].China Petroleum Exploration,2020,25(1):45-57.
[12] 李贤庆,肖中尧,胡国艺,等.库车坳陷天然气地球化学特征和成因[J].新疆石油地质,2005,26(5):31-34.
LI Xianqing,XIAO Zhongyao,HU Guoyi,et al.Origin and geochemistry of natural gas in Kuga Depression,Tarim Basin[J].Xinjiang Petroleum Geology,2005,26(5):31-34.
[13] FU Xiaofei,CHEN Zhe,YAN Baiquan,et al.Analysis of main controlling factors for hydrocarbon accumulation in central rift zones of the Hailar-Tamtsag Basin using a fault-caprock dual control mode[J].Science China Earth Sciences,2013,56(8):1357-1370.
[14] 刘全有,秦胜飞,李剑,等.库车坳陷天然气地球化学以及成因类型剖析[J].中国科学 D辑:地球科学,2007,37(增刊2):149-156.
LIU Quanyou,QIN Shengfei,LI Jian,et al.Analysis of natural gas geochemical characteristics and genesis types in Kuqa Depression[J].Scientia Sinica(D:Terrae),2007,37(S2):149-156.
[15] 李贤庆,肖贤明,唐永春,等.库车拗陷依南2气藏天然气生成与聚集[J].科学通报,2004,49(增刊1):100-106.
LI Xianqing,XIAO Xianming,TANG Yongchun,et al.Natural gas generation and accumulation of Yi′nan 2 Reservior in Kuqa Depression[J].Chinese Science Bulletin,2004,49(S1):100-106.
[16] 张卫卫,刘军,刘力辉,等.珠江口盆地番禺4洼古近系文昌组岩性预测技术及应用[J].岩性油气藏,2022,34(6):118-125.
ZHANG Weiwei,LIU Jun,LIU Lihui,et al.Lithology prediction technology and its application of Paleogene Wenchang Formation in Panyu 4 Depression,Pearl River Mouth Basin[J].Lithologic Reservoirs,2022,34(6):118-125.
[17] 苏勤,曾华会,徐兴荣,等.沙漠区地震数据高分辨率处理关键方法及其在尼日尔Agedem地区的应用[J].岩性油气藏,2023,35(6):18-28.
SU Qin,ZENG Huahui,XU Xingrong,et al.Key techniques of high-resolution processing of desert seismic data and its application in Agedem Area,Niger[J].Lithologic Reservoirs,2023,35(6):18-28.
[18] 张军华,常健强,王作乾,等.90°相移薄互层解释技术理论诠释与实际应用[J].吉林大学学报(地球科学版),2022,52(4):1348-1359.
ZHANG Junhua,CHANG Jianqiang,WANG Zuoqian,et al.Theoretical annotation and application of 90° phase shifting thin interbed interpretation technique[J].Journal of Jilin University(Earth Science Edition),2022,52 (4):1348-1359.
[19] 赵长永,陈希光,李俊飞,等.基于三维地震数据的短期旋回内薄层砂体的预测[J].特种油气藏,2023,30(6):40-47.
ZHAO Changyong,CHEN Xiguang,LI Junfei,et al.Application in the prediction of thin sand body within short-term sequence cycle based on 3D seismic data[J].Special Oil & Gas Reservoirs,2023,30(6):40-47.
[20] 丁燕,杜启振,YASIN Qaman,等.基于深度学习的裂缝预测在S区潜山碳酸盐岩储层中的应用[J].石油物探,2020,59(2):267-275.
DING Yan,DU Qizhen,YASIN Qamar,et al.Fracture prediction based on deep learning:application to a buried hill carbonate reservoir in the S Area[J].Geophysical Prospecting for Petroleum,2020,59(2):267-275.
[21] 赵邦六,雍学善,高建虎,等.中国石油智能地震处理解释技术进展与发展方向思考[J].中国石油勘探,2021,26(5):12-23.
ZHAO Bangliu,YONG Xueshan,GAO Jianhu,et al.Progress and development direction of PetroChina intelligent seismic processing and interpretation technology[J].China Petroleum Exploration,2021,26(5):12-23.
[22] 单蕊.地震多属性分析技术在煤层厚度预测中的应用分析[J].物探化探计算技术,2021,43(3):304-310.
SHAN Rui.Application of seismic multi-attribute analysis technique in coal seam thickness prediction[J].Computing Techniques for Geophysical and Geochemical Exploration,2021,43(3):304-310.
[23] 张彦周,刘叶玲,谢宝英.支持向量机在储层厚度预测中的应用[J].勘探地球物理进展,2005,28(6):422-424.
ZHANG Yanzhou,LIU Yeling,XIE Baoying.Application of SVM in prediction of reservoir thickness[J].Petroleum Reservoir Evaluation and Development,2005,28(6):422-424.
[24] 刘红星,陈海清,陈斌,等.AVO技术在鄂东缘煤系致密气预测中的适用性分析[J].石油地球物理勘探,2023,57(增刊2):92-99.
LIU Hongxing,CHEN Haiqing,CHEN Bin,et al.Analysis of applicability of AVO technique in prediction of coal-measure tight gas in eastern margin of Erdos Basin[J].Oil Geophysical Prospecting,2023,57(S2):92-99.
[25] 淮银超,张铭,谭玉涵,等.澳大利亚东部S区块煤层气储层特征及有利区预测[J].岩性油气藏,2019,31(1):49-56.
HUAI Yinchao,ZHANG Ming,TAN Yuhan,et al.Reservoir characteristics and favorable areas prediction of coalbed methane in S Block,eastern Australia[J].Lithologic Reservoirs,2019,31(1):49-56.
[26] 戴俊生,冯阵东,刘海磊,等.几种储层裂缝评价方法的适用条件分析[J].地球物理学进展,2011,26(4):1234-1242.
DAI Junsheng,FENG Zhendong,LIU Hailei,et al.Analysis for the applicable conditions of several methods of reservoir fracture evaluation[J].Progress in Geophysics(in Chinese),2011,26(4):1234-1242.
[27] 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.
[28] 吕文雅,安小平,刘艳祥,等.致密砂岩储层注水诱导裂缝动态识别及演化特征——以鄂尔多斯盆地姬塬油田L井区长8油藏为例[J].石油与天然气地质,2024,45(5):1431-1446.
LYU Wenya,AN Xiaoping,LIU Yanxiang,et al.Dynamic responses and evolutionary characteristics of waterflood-induced fractures in tight sandstone reservoirs:a case study of oil reservoirs in the 8th Member of the Yanchang Formation,Well Block L,Jiyuan Oilfield,Ordos Basin[J].Oil & Gas Geology,2024,45(5):1431-1446.
[29] 康志江,邓紫妍,杨帆,等.超深缝洞型油气藏孔隙度智能学习预测模型[J].石油与天然气地质,2025,46(2):567-574.
KANG Zhijiang,DENG Ziyan,YANG Fan,et al.A deep learning-based model for predicting porosity of ultradeep fractured-vuggy hydrocarbon reservoirs[J].Oil & Gas Geology,2025,46(2):567-574.
[30] 赵宏伟,赵海波.四川盆地营山构造自流井组页岩油层小断层和裂缝高分辨率地震预测[J].大庆石油地质与开发,2024,43(5):142-148.
ZHAO Hongwei,ZHAO Haibo.High-resolution seismic prediction of small faults and fractures in shale oil reservoirs of Ziliujing Formation of Yingshan structure in Sichuan Basin[J].Petroleum Geology ＆ Oilfield Development in Daqing,2024,43(5):142-148.
[31] 周永胜,吴伟,冯建伟,等.致密碳酸盐岩气藏裂缝预测及主控因素分析——以四川盆地G气田震旦系灯影组为例[J].东北石油大学学报,2024,48(2):102-115.
ZHOU Yongsheng,WU Wei,FENG Jianwei,et al.Fracture prediction and main controlling factors analysis of tight carbonate gas reservoir:take the Sinian Dengying Formation of G Gas Field in Sichuan Basin as an example[J].Journal of Northeast Petroleum University,2024,48(2):102-115.
[32] 王奇韵,盖姗姗,侯庆杰,等.基于构造约束的深薄层储层定量预测方法:以博兴洼陷F井区为例[J].西安石油大学学报(自然科学版),2025,40(6):27-35.
WANG Qiyun,GAI Shanshan,HOU Qingjie,et al.Quantitative prediction method for the thin-bedded reserviors based on constraint of tectonic control factors:a case study of F Well Block in Boxing Sub-sag[J].Journal of Xi′an Shiyou University(Natural Science Edition),2025,40(6):27-35.
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