1. Geophysical Research Institute, BGP Inc., CNPC, Zhuozhou, Hebei 072750, China; 2. PetroChina Southwest Oil & Gas Field Company, Chengdu, Sichuan 610051, China
Abstract:At present, the development of low-efficiency production layers such as shale and tight oil & gas re-servoirs is mainly realized by horizontal well drilling. However, when small and medium-sized faults are encountered during the drilling, engineering accidents such as collapse, sticking, and leakage are easy to occur, which will seriously affect development efficiency. Therefore, the accurate prediction of fault distribution is an urgent problem to be solved in production. According to the knowledge of the characteristics of velocity, amplitude, travel time, and other parameters in the propagation of seismic waves in different directions in HTI media, the conventional method uses partial azimuth stacking data of vertical fracture strikes for fault identification. However, the fault strikes of complex structural zones are complex and changeable, and the conventional azimuth stacking method cannot ensure the gathers are perpendicular to all faults. Therefore, we propose to use the gather data of “wide azimuth, broadband, and high density (WBH)” for OVT domain migration processing. The azimuth gather corresponding to each underground point most affected by a fault is adaptively extracted according to the changes in velocity, amplitude, and travel time, so as to reconstruct the dominant azimuth seismic data volume of the fracture. The gathers (or stacking data) perpendicular to the fault strike can be applied to the complex fracture development areas with multiple stages and directions, and lead to a smaller scale and richer details of fracture characterization, as well as higher accuracy in fault prediction. The predictions can provide a basis for horizontal well guidance and fracturing design.
许艳.储集层中的构造裂缝及其研究方法[J].石油知识, 2003,(2): 12.XU Yan.Structural fracture in reservoir and its research method[J].Petroleum Knowledge, 2003,(2): 12.
[2]
王睿.浅谈裂缝油藏储层预测方法[J].石化技术, 2019, 26(6): 172-173.WANG Rui.Discussion on prediction method for fracture reservoirs[J].Petrochemical Industry Technology, 2019, 26(6): 172-173.
[3]
陈飞.地震多参数裂缝预测应用研究[D].陕西西安: 长安大学, 2007.CHEN Fei.Research on the Application of Seismic Multi-parameter Fracture Prediction Method[D].Chang’an University, Xi’an, Shaanxi, 2007.
[4]
王明飞, 苏克露, 肖伟, 等.泥页岩应力场约束的叠后地震裂缝预测技术——以焦石坝区块五峰组—龙马溪组一段为例[J].石油与天然气地质, 2018, 39(1): 198-206.WANG Mingfei, SU Kelu, XIAO Wei, et al.Post-stack seismic fracture prediction under constraint of shale stress field: A case from the shale reservoir in Wufeng Fm-1st member of Longmaxi Fm in Jiaoshiba area[J].Oil & Gas Geology, 2018, 39(1): 198-206.
[5]
闫立志.页岩气储层中基于构造应力场的裂缝预测研究[D].山东青岛: 中国石油大学(华东), 2017.YAN Lizhi.Study on the Fracture Prediction in Shale Gas Reservoir Based on Tectonic Stress Field[D].China University of Petroleum(East China), Qing-dao, Shandong, 2017.
[6]
谭磊.叠前地震属性方法研究[D].湖北荆州: 长江大学, 2016.TAN Lei.The Study of Pre-stack Seismic Attributes Methods[D].Yangtze University,Jingzhou,Hubei,2016.
[7]
欧守波.基于OVT域数据的裂缝预测——以四川盆地G-M地区灯影组储层为例[D].四川成都: 成都理工大学, 2017.OU Shoubo.Fracture Prediction Based on OVT Domain Data: A Case Study of Dengying Formation in G-M Area of Sichuan Basin[D].Chengdu University of Technology, Chengdu, Sichuan, 2017.
[8]
徐淼.基于蚂蚁体追踪的裂缝预测技术在静北地区的应用[J].内蒙古石油化工, 2015, 41(23): 106-108.XU Miao.Application of fracture prediction technology based on ant body tracing in Jingbei area[J].Inner Mongolia Petrochemical Industry, 2015, 41(23):106-108.
[9]
彭维文.基于OVT域数据的煤层裂缝发育区预测[D].山西太原:太原理工大学, 2019.PENG Weiwen.Prediction of Coal Seam Fracture Development Zone Based on OVT Data[D].Taiyuan University of Technology, Taiyuan, Shanxi, 2019.
[10]
杨平, 李海银, 胡蕾, 等.提高裂缝预测精度的解释性处理技术及其应用[J].石油物探, 2015, 54(6):681-689.YANG Ping, LI Haiyin, HU Lei, et al.Interpretative processing techniques and their applications in improving fracture prediction accuracy[J].Geophysical Prospecting for Petroleum, 2015, 54(6):681-689.
[11]
简世凯.窄方位三维叠前地震资料裂缝预测技术研究及应用[D].四川成都:成都理工大学, 2018.JIAN Shikai.Research and Application of Fracture Prediction Technology for Narrow Azimuth 3D Pre-stack Seismic Data[D].Chengdu University of Technology, Chengdu, Sichuan, 2018.
赵洲, 邓小江, 顾雯,等.OVT域五维数据精细页岩油裂缝预测研究[C].2019年油气地球物理学术年会论文集,江苏南京,2019,79-82.ZHAO Zhou,DENG Xiaojiang,GU Wen,et al.Study on fine shale oil fracture prediction based on five-dimensional data in OVT domain[C].Proceedings of the 2019 Geophysics,Nanjing,Jiangsu,2019,79-82.
党青宁,崔永福,陈猛,等.OVT域叠前裂缝预测技术——以塔里木盆地塔中ZG地区奥陶系碳酸盐岩为例[J].物探与化探,2016,40(2):398-404.DANG Qingning,CUI Yongfu,CHEN Meng,et al.Fracture detection with prestack seismic data in OVT domain:A case study of the Ordovician carbonate re-servoir in ZG area of Tazhong district in Tarim Basin[J].Geophysical and Geochemical Exploration,2016,40(2):398-404.
[16]
STEIN J A,WOJSLAW R,LANGSTON T,et al.Wide-azimuth land processing:Fracture detection using offset vector tile technology[J].The Leading Edge,2010,29(11):1328-1337.
[17]
王霞,李丰,张延庆,等.五维地震数据规则化及其在裂缝表征中的应用[J].石油地球物理勘探,2019,54(4):844-852.WANG Xia,LI Feng,ZHANG Yanqing,et al.5D seismic data regularization and application in fracture characterization[J].Oil Geophysical Prospecting,2019,54(4):844-852.
[18]
WANG X,ZHANG Y Q,LI F,et al.A study on the azimuth statistics based anisotropy characterization technique[C].SEG Technical Program Expanded Abstracts,2018,37,146-149.
[19]
郝守玲,赵群.裂缝介质对P波方位各向异性特征的影响--物理模型研究[J].勘探地球物理进展,2004,27(3):189-194.HAO Shouling,ZHAO Qun.The effect of fractured medium on P wave azimuthal anisotropy:A physical model study[J].Progress in Exploration Geophysics,2004,27(3):189-194.
[20]
李洪奎,李忠权,龙伟,等.四川盆地纵向结构及原型盆地叠合特征[J].成都理工大学学报(自然科学版),2019,46(3):257-267.LI Hongkui,LI Zhongquan,LONG Wei,et al.Vertical configuration of Sichuan Basin and its superimposed characteristics of the prototype basin[J].Journal of Chengdu University of Technology (Science & Technology Edition),2019,46(3):257-267.
[21]
石学文,佟彦明,刘文平,等.页岩储层地震尺度断裂系统分析及其石油地质意义——以四川盆地长宁地区宁201井区为例[J].海相油气地质,2019,24(4):97-106.SHI Xuewen,TONG Yanming,LIU Wenping,et al.Analysis of seismic-scale fracture system of shale re-servoir and its petroleum significance:A case study of well Ning 201 area of Changning Block,Sichuan Basin[J].Marine Origin Petroleum Geology,2019,24(4):97-106.
[22]
黄涵宇.川东南地区古隆起形成演化及其控油气作用[D].北京:中国地质大学(北京),2018.HUANG Hanyu.Formation and Evolution of Paleo-uplift in Southeastern Sichuan Basin and Its Control on Hydrocarbon Accumulation[D].China University of Geosciences (Beijing),Beijing,2018.