油田开发后期井间砂体识别
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摘要
大庆长垣油田历经五十多年的勘探与开发,目前处于高密井网、细分单层开采阶段。为了确定砂体的连通关系和井间窄小河道的边界位置,在高密度三维地震资料和开发井信息基础上,综合钻井的纵向信息和地震横向高密度信息的优势,采用井震结合反演技术建立砂体预测模型。通过地质统计学反演,识别了复合砂体单一河道边界及井间窄小河道砂体。该方法适用于类似油田开发后期井间砂体的识别。
After more than 50 years of the exploration and development,Daqing Changyuan Oilfield is now in the stage of dense well pattern and single-bed production.The development geological task is to identify the connectivity of sand bodies and the narrow channel boundary between wells.Based on high-density 3D seismic data and well development information,a sand body prediction model for typical Changyuan Block is established with integrated well-seismic data inversion.Single-channel boundary of composite sands and narrow channel sandbodies between wells are identified by the geologic statistics inversion.It is concluded that the integrated well-seismic data inversion synthesizes the advantages of vertical and lateral high density information,and it is suitable for cross-well sand body identification in the oilfield development late stage.
After more than 50 years of the exploration and development,Daqing Changyuan Oilfield is now in the stage of dense well pattern and single-bed production.The development geological task is to identify the connectivity of sand bodies and the narrow channel boundary between wells.Based on high-density 3D seismic data and well development information,a sand body prediction model for typical Changyuan Block is established with integrated well-seismic data inversion.Single-channel boundary of composite sands and narrow channel sandbodies between wells are identified by the geologic statistics inversion.It is concluded that the integrated well-seismic data inversion synthesizes the advantages of vertical and lateral high density information,and it is suitable for cross-well sand body identification in the oilfield development late stage.
引文
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[17] 卢勉,姜岩,李操,等.利用三维地震资料识别长垣油田曲流河废弃河道[J].石油地球物理勘探,2017,52(6):1290-1297.LU Mian,JIANG Yan,LI Cao,et al.Identification of meandering river abandoned channels in Changyuan Oilfield on 3D seismic data[J].Oil Geophysical Prospecting,2017,52(6):1290-1297.
[18] 赵谦,周江羽,张莉,等.利用地震波形—振幅响应技术预测海相碎屑岩岩性组合——以北康盆地为例[J].石油地球物理勘探,2017,52(6):1280-1289.ZHAO Qian,ZHOU Jiangyu,ZHANG Li,et al.Prediction of marine clastic rocks assemblage with seismic waveform and amplitude responses:an example in Beikang Basin,South China Sea[J].Oil Geophysical Prospecting,2017,52(6):1280-1289.
[19] 樊鹏军,马良涛,王宗俊,等.地质统计学反演中变差函数地质含义及求取方法探讨[J].地球物理学进展,2017,32(6):2442-2447.FAN Pengjun,MA Liangtao,WANG Zongjun,et al.Variogram geological implication and its calculating method discussing for geostatistical inversion[J].Progress in Geophysics,2017,32(6):2442-2447.
[20] 钟铁,李月,杨宝俊,等.陆地地震勘探随机噪声统计特性[J].地球物理学报,2017,60(2):655-670.ZHONG Tie,LI Yue,YANG Baojun,et al.Statistical features of the random noise in land seismic prospecting[J].Chinese Journal of Geophysics,2017,60(2):655-670.
[2] 边树涛,狄帮让,董艳蕾,等.地质统计反演在东濮凹陷白庙气田沙三段储层预测中的应用[J].石油地球物理勘探,2010,45(3):398-405.BIAN Shutao,DI Bangrang,DONG Yanlei,et al.Application of geostatistical inversion in reservoir prediction in the third member of Shahejie Formation,Bai-miao Gas Field,Dongpu Depression[J].Oil Geophysical Prospecting,2010,45(3):398-405.
[3] 杨千里,吴国忱.基于贝叶斯理论的多尺度地震反演方法[J].地球物理学进展,2016,26(3):50-54.YANG Qianli,WU Guochen.Multi-scale seismic inversion method based on Bayesian theory[J].Progress in Geophysics,2016,26(3):50-54.
[4] 王栋,贺振华,王珑,等.多波联合反演技术在SC盆地PLN地区油气勘探开发中的应用研究[J].石油物探,2017,56(6):863-873.WANG Dong,HE Zhenhua,WANG Long,et al.Application of multi-wave joint inversion in exploration and development of oil and gas in the PLN area of SC Basin[J].Geophysical Prospecting for Petroleum,2017,56(6):863-873.
[5] 朱石磊,杨瑞召,刘志斌,等.密集井网下随机地震反演方案及砂体预测[J].石油地球物理勘探,2018,53(2):361-368.ZHU Shilei,YANG Ruizhao,LIU Zhibin,et al.Stochastic seismic inversion scheme and sand body prediction in dense well pattern areas[J].Oil Geophysical Prospecting,2018,53(2):361-368.
[6] 赵翰卿.大庆油田精细储层沉积学研究[M].北京:石油工业出版社,2012,86-88.ZHAO Hanqing.Study on Fine Reservoir Sedimento-logy in Daqing Oilfield[M].Petroleum Industry Press,Beijing,2012,86-88.
[7] 黄薇,王始波,张玉鹏,等.地震沉积学在薄储层岩性油藏勘探中的应用[J].大庆石油地质与开发,2018,37(1):1-8.HUANG Wei,WANG Shibo,ZHANG Yupeng,et al.Application of seismic sedimentology in the exploration of the lithological oil reserovirs in the thin layer[J].Petroleum Geology & Oilfield Development in Daqing,2018,37(1):1-8.
[8] 何宇航,王庆宇,朱伟,等.基于密井网水下分流河道单砂体原型地质模型[J].大庆石油地质与开发,2018,37(3):43-48.HE Yuhang,WANG Qingyu,ZHU Wei,et al.Prototype geological model for the individual sandbody of the underwater distributary channel based on the dense well pattern[J].Petroleum Geology & Oilfield Development in Daqing,2018,37(3):43-48.
[9] 蔡义峰,熊婷,姚卫江,等.地震多属性分析技术在薄层砂体预测中的应用[J].石油地球物理勘探,2017,52(增刊2):140-145.CAI Yifeng,XIONG Ting,YAO Weijiang,et al.Thin sandstone prediction with seismic multi-attribute analysis[J].Oil Geophysical Prospecting,2017,52(S2):140-145.
[10] 赵海波,唐晓花,李奎周,等.基于地震岩石物理分析与叠前地质统计学反演技术的齐家地区致密薄储层预测[J].石油物探,2017,56(6):854-857.ZHAO Haibo,TANG Xiaohua,LI Kuizhou,et al.Tight thin-bed reservoir prediction using rock physics analysis and prestack geostatistical inversion in the Qijia area[J].Geophysical Prospecting for Petroleum,2017,56(6):854-857.
[11] 吴胜和,金振奎.储集层建模[M].北京:石油工业出版社,1999.WU Shenghe,JIN Zhenkui.Reservoir Modeling[M].Petroleum Industry Press,Beijing,1999.
[12] Haas A,Dubrule O.Geostatistical inversion:A sequential method for stochastic reservoir modeling constrained by seismic data[J].First Break,1994,13(12):561-569.
[13] Rothman D H.Geostatistical inversion of 3D seismic data for thin sand delineation[J].Geophysics,1988,53(2):332-339.
[14] Dubrule O,Thibaut M,Lamy P,et al.Geostatistical reservoir characterization constrained by 3D seismic data[J].Petroleum Science,1998,4(2):121-128.
[15] 徐立恒,李杰,姜岩,等.利用断层模型约束反演技术进行储层预测[J].石油地球物理勘探,2012,47(3):473-476.XU Liheng,LI Jie,JIANG Yan,et al.Reservoir prediction using inversion constrained by faults model[J].Oil Geophysical Prospecting,2012,47(3):473-476.
[16] 徐立恒,陈显森,姜岩,等.不同变差函数变程下随机反演与随机模拟对比分析[J].物探与化探,2012,36(2):224-227.XU Liheng,CHEN Xianshen,JIANG Yan,et al.A comparative analysis of stochastic inversion and stochastic simulation on different ranges of variograms[J].Geophysical and Geochemical Exploration,2012,36(2):224-227.
[17] 卢勉,姜岩,李操,等.利用三维地震资料识别长垣油田曲流河废弃河道[J].石油地球物理勘探,2017,52(6):1290-1297.LU Mian,JIANG Yan,LI Cao,et al.Identification of meandering river abandoned channels in Changyuan Oilfield on 3D seismic data[J].Oil Geophysical Prospecting,2017,52(6):1290-1297.
[18] 赵谦,周江羽,张莉,等.利用地震波形—振幅响应技术预测海相碎屑岩岩性组合——以北康盆地为例[J].石油地球物理勘探,2017,52(6):1280-1289.ZHAO Qian,ZHOU Jiangyu,ZHANG Li,et al.Prediction of marine clastic rocks assemblage with seismic waveform and amplitude responses:an example in Beikang Basin,South China Sea[J].Oil Geophysical Prospecting,2017,52(6):1280-1289.
[19] 樊鹏军,马良涛,王宗俊,等.地质统计学反演中变差函数地质含义及求取方法探讨[J].地球物理学进展,2017,32(6):2442-2447.FAN Pengjun,MA Liangtao,WANG Zongjun,et al.Variogram geological implication and its calculating method discussing for geostatistical inversion[J].Progress in Geophysics,2017,32(6):2442-2447.
[20] 钟铁,李月,杨宝俊,等.陆地地震勘探随机噪声统计特性[J].地球物理学报,2017,60(2):655-670.ZHONG Tie,LI Yue,YANG Baojun,et al.Statistical features of the random noise in land seismic prospecting[J].Chinese Journal of Geophysics,2017,60(2):655-670.
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