石油钻采工艺2025，Vol.47Issue(2)：131-143,13.DOI:10.13639/j.odpt.202504029
油藏流线模拟与表征方法研究进展
A review of advances in streamline simulation and characterization methods for oil reservoir development
摘要
Abstract
As water-flooded mature oilfields enter the stage of deep and refined development,the complex dynamics of subsurface oil-water distribution impose higher demands on reservoir management.This paper systematically reviews the research progress of streamline simulation technology for reservoir development,outlining its developmental trajectory from two-dimensional tracing algorithms to three-dimensional multiphase flow models,and further to the intelligent stage.The algorithmic principle of enhancing computational efficiency through dimensionality reduction(decomposing three-dimensional flow fields into one-dimensional streamlines)is elucidated.The streamline technology is categorized into two components:streamline simulation and streamline characterization.The former reveals fluid flow patterns in porous media by solving pressure and saturation fields,while the latter accomplishes visual modeling of flow trajectories through velocity field reconstruction,streamline path tracing,and multiphysical parameter transfer.The study comprehensively summarizes applications of streamline simulation in aiding history matching and model optimization,reservoir model upscaling and computational acceleration,characterization of complex displacement mechanisms,reservoir management and optimization,water injection and well pattern optimization,as well as dynamic analysis and uncertainty quantification.However,current streamline simulation technology faces challenges in multi-physical field coupling modeling,across-scale computational efficiency,and data dependency.Breakthroughs in machine learning,adaptive mesh optimization,and high-performance computing integration are urgently needed to support sustainable energy development.关键词
流线模拟/流线追踪/油藏开发/多物理场耦合/机器学习Key words
streamline simulation/streamline tracing/reservoir development/multiphysics field coupling/machine learning分类
石油、天然气工程引用本文复制引用
朱冰倩,钱其豪,张立侠,黎镇东..油藏流线模拟与表征方法研究进展[J].石油钻采工艺,2025,47(2):131-143,13.基金项目
中国石油天然气股份有限公司科技项目"老油田'压舱石工程'关键技术研究与示范"(编号:2023YQX10201) （编号:2023YQX10201）
中国石油天然气集团有限公司科技项目"提高原油采收率新方法与新技术研究"(编号:2023ZZ0403). （编号:2023ZZ0403）
