深层页岩气储层水力压裂裂缝扩展影响机理
Influence mechanism of hydraulic fracturing fracture propagation in deep shale gas reservoirs
曾波 1冯宁鑫 2姚志广 1杜雨柔 1黎俊峰 1郑健 1衡德 1唐煊赫 2朱海燕2
作者信息
- 1. 中国石油西南油气田分公司页岩气研究院,四川成都 610051
- 2. 成都理工大学能源学院,四川成都 610059;成都理工大学油气藏地质及开发工程全国重点实验室,四川成都 610059
- 折叠
摘要
现有中浅层页岩气压裂取得的认识难以解释深层页岩气储层压裂过程中水力裂缝扩展的影响机理.为了研究四川盆地深层页岩气储层水力压裂裂缝扩展机理,文中以泸州深层页岩气区LS1平台为研究对象,进行基于地质-工程一体化的水力压裂裂缝扩展数值模拟与分析.首先,根据泸州区块目标井区储层的地质概况,建立地质模型,明确地质力学属性;然后,基于微地震和蚂蚁体数据,建立符合真实储层构造特性的离散天然裂缝网络;在此基础上,根据现场实际施工数据,建立了基于DFN的水力压裂复杂裂缝扩展模型,并基于微地震监测结果对模型进行了验证;最后,还研究了 4个单因素对储层改造体积的影响特点.研究结果对深层页岩气储层水力压裂复杂缝网研究有一定的指导作用.
Abstract
It is difficult to explain the influence mechanism of hydraulic fracture propagation in deep shale gas reservoirs based on the current understanding of medium and shallow shale gas fracturing.In order to study the hydraulic fracturing fracture propagation mechanism of deep shale gas reservoirs in Sichuan Basin,LS1 platform in Luzhou deep shale gas area was selected as the research object to conduct numerical simulation and analysis of hydraulic fracturing fracture propagation based on the integration of geology and engineering.First,the geological model was established and geomechanical properties were defined according to the geological characteristics of the target well area reservoir in Luzhou block.Then,a discrete natural fracture network in accord with the structural characteristics of the real reservoir was built based on microseismic and ant body data.On this basis,a complex fracture propagation model is built based on DFN according to the actual construction data.The model is verified based on microseismic monitoring results.The influence characteristics of four single factors on reservoir stimulation volume are studied.The results can be used to guide the research of hydraulic fracturing complex fracture network in deep shale gas reservoirs.
关键词
深层页岩气/离散天然裂缝网络/DFN/复杂裂缝扩展/储层改造体积Key words
deep shale gas/discrete natural fracture network/DFN/complex fracture propagation/reservoir stimulation volume引用本文复制引用
基金项目
国家自然科学基金面上项目(51874253)
国家自然科学基金重大项目(52192622)
国家自然科学基金联合基金重点项目(U20A20265)
四川省杰出青年科技人才项目(2022JDJQ0007)
出版年
2024
NETL
NSTL
万方数据