石油实验地质2025，Vol.47Issue(3)：671-679,9.DOI:10.11781/sysydz2025030671
致密储层裂缝气水微观渗流过程研究
Microscopic seepage process of gas and water in fractures of tight reservoirs
摘要
Abstract
To investigate the dynamic seepage mechanisms of fluids within fractures of tight reservoirs,a three-dimensional digital core fracture structure of an actual reservoir was constructed based on deep learning segmenta-tion results.First,the fracture connectivity was evaluated.Then,single-phase flow permeability simulation was conducted,and gas-water two-phase flow displacement was studied using a level-set method coupled with Navier-Stokes(N-S)equations,with solutions obtained using the finite element method.The results showed that the deep learning method efficiently and automatically segmented fractures in core images with an accuracy of 85%.Connected fractures played an important role in rock permeability.Different fluid properties affected flow pressure and velocity,thereby affecting permeability.During the displacement simulation,the distribution characteristics of gas and water phases were clearly observed.As the displacement progressed until seepage completion,the fluid saturation in narrow fracture channels remained nearly unchanged,serving as the primary storage space for residual gas phase.Fractures with relatively good connectivity,characterized by great width and straightness,became the main seepage channels where gas recovery rates tended to stabilize.The research findings provide guidance for studying gas-water two-phase flow in fracture spaces of tight reservoirs under microscopic conditions.关键词
渗流过程/裂隙结构/裂隙连通性/数字岩心/深度学习分割/致密储层Key words
gas-water seepage process/fracture structure/fracture connectivity/digital core/deep learning segmentation/tight reservoir分类
石油、天然气工程引用本文复制引用
侯世伟,吕寻庆,孟素云,张皓,杜修力..致密储层裂缝气水微观渗流过程研究[J].石油实验地质,2025,47(3):671-679,9.基金项目
国家自然科学基金项目(52208356)、辽宁省教育厅项目(LJ242410153045)、辽宁省科技厅项目(2024-MSLH-388)、北京工业大学教育部重点实验室项目(2022B05)和沈阳市中青年科技创新人才支持计划(RC220171)共同资助. （52208356）
