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利用地球物理综合预测方法识别页岩气储层甜点——以四川盆地长宁区块下志留统龙马溪组为例

陈胜 张连群 常鑫 赵文智 欧阳永林 曾庆才 杨青 侯华星 盖少华 包世海 李新豫

天然气工业2017,Vol.37Issue(5):20-30,11.
天然气工业2017,Vol.37Issue(5):20-30,11.DOI:10.3787/j.issn.1000-0976.2017.05.003

利用地球物理综合预测方法识别页岩气储层甜点——以四川盆地长宁区块下志留统龙马溪组为例

Comprehensive prediction of shale gas sweet spots based on geophysical properties: A case study of the Lower Silurian Longmaxi Fm in Changning block,Sichuan Basin

陈胜 1张连群 2常鑫 2赵文智 2欧阳永林 1曾庆才 2杨青 2侯华星 2盖少华 2包世海 2李新豫1

作者信息

  • 1. 中国石油大学(北京)
  • 2. 中国石油勘探开发研究院
  • 折叠

摘要

Abstract

Shale gas exploration and development in China were firstly conducted in the Changning block of the Sichuan Basin.Due to insufficient seismic surveys in the past years,shale gas sweet spots for commercial production have not been pinpointed.In this paper,based on well logging data and 3D seismic data interpretation results,geophysical responses of sweet spots in shale gas reservoir were determined through seismic rock physical analysis and modeling.Then,the planar distribution of some key reservoir parameters,including TOC,high-quality reservoir thickness,brittleness and formation pressure,were predicted through prestack inversion of all gathers.Spatial distribution of sweet spots was assessed using fuzzy optimization.Results show that shale gas sweet spots feature low density,low P-velocity,low Poisson's ratio,and low P-to-S velocity ratio,especially in the case of higher TOC;that high-quality shale reservoirs (Class Ⅰ and Ⅱ) concentrate vertically within an interval of 30 m above the bottom of the Lower Silurian Longmaxi Fm and laterally within the central part of the 3D seismic survey,so these reservoirs should be preferred for recovery;and that Class Ⅲ reservoirs should be recovered selectively,for their key parameters are relatively low.

关键词

页岩气/甜点预测/岩石物理/TOC/三维地震/脆性/压力/四川盆地/长宁区块/早志留世

Key words

Shale gas/Sweet spot/Rock physics/TOC/3D seismic/Brittleness/Pressure/Sichuan Basin/Changning block/Early Silurian

引用本文复制引用

陈胜,张连群,常鑫,赵文智,欧阳永林,曾庆才,杨青,侯华星,盖少华,包世海,李新豫..利用地球物理综合预测方法识别页岩气储层甜点——以四川盆地长宁区块下志留统龙马溪组为例[J].天然气工业,2017,37(5):20-30,11.

基金项目

国家科技重大专项课题“富有机质页岩储层精细描述与定量表征”(编号:2017ZX05035-02). (编号:2017ZX05035-02)

天然气工业

OA北大核心CSCDCSTPCD

1000-0976

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