摘要
中国四川盆地昭通区块龙马溪组页岩气资源丰富。为了厘清该区页岩气甜点分布,指导水平井位部署,利用三维地震数据开展甜点关键参数研究,利用地震叠后数据及分方位叠前数据预测裂缝的发育强度和方向,利用测井交会分析建立TOC/脆性与杨氏模量×密度(E×Rhob)的关系,以叠前弹性参数反演为基础,利用弹性参数组合结果E×Rhob反映页岩储层脆性及TOC展布。最后对页岩储层裂缝、TOC、脆性展布、优质页岩厚度进行综合分析,优选"甜点"。实际研究表明,利用三维地震资料能有效预测页岩甜点区,有效指导示范区水平井轨迹设计,降低勘探开发风险,为研究区的下一步勘探开发提供地球物理依据。
The Longmaxi Formation in Sichuan Basin,China is rich in shale gas resources.In order to identify the distribution of shale gas sweet spots in the area and propose a good horizontal-well deployment,we conduct a research for the sweet spot distribution based on 3 Dseismic data.Poststack and prestack seismic data are used to predict fracture developments and directions.The total organic carbon(TOC)and brittleness are established on logging crossplots and elastic parameters.The relationship between Young’s modulus and density(E*Rhob)is obtained with prestack elastic parameter inversion,and elastic parameter combinations(E*Rhob)show shale brittleness and TOC.Finally,shale reservoir fractures,TOC,and brittleness distribution are comprehensively analyzed,and favorable sweet spots are identified.Our research results demonstrate that favorable shale sweet spot zones are well predicted,which lay a solid foundation for horizontal-well trajectory design to reduce exploration risks.
作者
刘伟
梁兴
姚秋昌
李庆飞
张永强
舒东楚
LIU Wei;LIANG Xing;YAO Qiuchang;LI Qingfei;ZHANG Yongqiang;ANDSHU Dongchu(New Resources Geophysical Exploration Division,BGP Inc.,CNPC,Zhuozhou,Hebei 072750,China;State Key Laboratory of Oil&Gas Reservoirs Geology and Exploitation,Chengdu University of Technology,Chengdu,Sichuan 610059,China;Zhejiang Oilfield Company,PetroChina,Hangzhou,Zhejiang 310000,China)
出处
《石油地球物理勘探》
EI
CSCD
北大核心
2018年第A02期211-217,223,15,共9页
Oil Geophysical Prospecting
基金
国家科技重大专项"走滑高原山地页岩气三维地震一体化勘探技术及应用"(2017ZX05063-001-001)
"非常规油气关键技术与集成"(2017ZX05018-004-004)
东方地球物理公司中青年创新基金项目"基于VTI介质页岩储层各向异性反演方法研究"(11-03-2018)联合资助
关键词
页岩气
甜点
裂缝
总有机碳含量
脆性
杨氏模量
泊松比
椭圆速度反演
shale gas
sweet spot
fracture
total organic carbon(TOC)
brittleness
Young’s modulus
Poisson’s ratio
elliptic velocity inversion
