深圳大学学报（理工版）2025，Vol.42Issue(3)：291-298,8.DOI:10.3724/SP.J.1249.2025.03291
基于扩散飞行时间的复杂裂缝系统数值试井方法
A numerical well-testing method for complex fracture systems based on diffusive time of flight
摘要
Abstract
To accurately characterize the pressure dynamics of complex fracture networks formed by hydraulic fracturing technology,we propose a fast numerical well-testing method based on diffusive time of flight(DTOF).The method integrates the embedded discrete fracture model(EDFM)with the fast-marching method(FMM),establishing a flow control equation that uses one-dimensional DTOF as the spatial coordinate.This enables efficient analysis of well-testing curve characteristics in complex fracture systems.The results indicate that natural fractures have significant impact on the unsteady-state flow;and the complex fracture system consisting of natural and artificial fractures exhibits diverse combinations of distinct characteristic in well-testing curves depending on the fracture configuration.While only natural fractures are considered,the log-log curve exhibits four typical flow patterns:wellbore storage,radial flow,transition flow,and boundary-dominated flow.In the presence of a single artificial fracture,the log-log curve displays four flow patterns:wellbore storage,bilinear flow,radial flow,and boundary-dominated flow.As the number of artificial fractures increases,the connectivity of the reservoir improves significantly,and as a result,the log-log curve demonstrates three flow patterns:wellbore storage,linear flow,and boundary-dominated flow.The numerical model developed in this study has been effectively applied in field cases,offering a novel and effective method for well-testing analysis of complex fracture systems.关键词
油气田开发/扩散飞行时间/波前快速推进法/数值试井/裂缝性储层/嵌入式离散裂缝模型/试井曲线Key words
oil-gas field development/diffusive time of flight/fast marching method/numerical well test/fractured reservoir/embedded discrete fracture model/well-testing curve分类
石油、天然气工程引用本文复制引用
杜雅雯,罗万静,滕柏路,李佳,韩家强..基于扩散飞行时间的复杂裂缝系统数值试井方法[J].深圳大学学报（理工版）,2025,42(3):291-298,8.基金项目
National Natural Science Foundation of China(52104043) 国家自然科学基金资助项目(52104043) （52104043）
