论文详情
川北典型陆相页岩——砂岩油气潜力表征与评价
西南石油大学学报(自然科学版)
2023年 45卷 第3期
阅读:147
查看详情
Title
Oil & Gas Potential Characterization and Evaluation of Typical Continental Shale-sandstone in Northern Sichuan Basin
Authors
OUChenghua
LIHang
SHIBaiqiang
ZHANGZhiyue
HEJian
单位
油气藏地质及开发工程全国重点实验室·西南石油大学, 四川 成都 610500
西南石油大学石油与天然气工程学院, 四川 成都 610500
陕西延长石油(集团)有限责任公司油气勘探公司, 陕西 延安 716000
Organization
National Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu, Sichuan 610500, China
Petroleum Engineering School, Southwest Petroleum University, Chengdu, Sichuan 610500, China
Oil and Gas Exploration Company of Shaanxi Yanchang Petroleum (Group) Co. Ltd., Yan'an, Shaanxi 716000, China
摘要
四川盆地北部中侏罗统千佛崖组陆相地层颇具油气资源潜力,亟待实现突破。在岩芯描述,沉积微相分析和储集体识别基础上,解析了研究区千佛崖组典型陆相页岩——砂岩储集体纵横向叠合类型和平面组合类型,发现了多层致密砂岩油(气)藏、上页——下砂油(气)藏、砂——页互层油(气)藏、页包砂油(气)藏和孤立油(气)藏等5类油气混合储集类型,分层段、分类型评价了研究区各个层段发现的44个油气藏,从中优选出A、B和C等3个典型陆相页岩——砂岩油气混合储集有利区。上述成果有利于中国陆相页岩油气成储理论的深入发展。
Abstract
The Qianfoya Formation in northern Sichuan Basin is rich in oil & gas resources and it is expecting to exploration and development. On basis of core analysis, logging interpretation and sedimentary microfacies analysis, we analyze the vertical, horizontal and plane distribution characteristics of reservoir, find five types of the continental shale-sandstone oil & gas reservoirs, such as multi-layer tight sandstone oil & gas reservoir, upper shale-lower sand oil & gas reservoir, sand-shale interbedded oil & gas reservoir, shale-clad sand oil & gas reservoir and isolated oil & gas reservoir, evaluate total 44 oil & gas reservoirs in each layer, and select the three favorable oil & gas reservoir A, B, and C in the Qianfoya Formation in the study area. The above results are conducive to the further development of the continental shale oil & gas reservoir geology in China.
关键词:
川北地区;
陆相页岩——砂岩储集体;
油气混合储集类型;
开发潜力评价;
有利油气区优选;
Keywords:
northern Sichuan Basin;
continental shale-sandstone reservoir;
type of mixed oil and gas reservoir;
development potential evaluation;
optimal selection of favorable oil & gas area;
DOI
10.11885/j.issn.1674-5086.2021.08.08.01