石油钻采工艺2026，Vol.48Issue(4)：423-434,464,13.DOI:10.13639/j.odpt.202507020
致密储层压裂井间干扰诊断方法研究进展与展望
Research progress and prospects of diagnosis methods for fracture-driven interactions in tight reservoirs
摘要
Abstract
Fracture-Driven Interactions(FDIs)in tight reservoirs has a significant impact on production,and accurate diagnosis of the extent of FDI is the basis for formulating sound strategies.However,to date,a systematic method for quantitatively diagnosing FDI has not yet been established.To address this issue,this paper categorizes FDI into stages based on interference characteristics,identifies the influencing factors at different stages,and systematically summarizes the primary diagnosis methods for FDI.The results indicate that:firstly,the study of FDI can be divided into four stages:fracturing,soaking,flowback,and production.During the fracturing stage,FDI manifests as pressure fluctuations at the wellhead of adjacent wells;during the soaking stage,it appears as a slow decline in pressure within the high-pressure fracture system of adjacent wells;during the flowback stage,it is characterized by a rapid pressure drop in adjacent wells or a synchronous pressure decline when both wells are started up simultaneously;during the production stage,adjacent wells exhibit deviations from normal production trends.Secondly,FDI diagnosis methods include microseismic monitoring,water hammer pressure wave monitoring,DAS/DTS monitoring,tracer monitoring,well testing analysis m onitoring,and machine learning-assisted monitoring.Among these,machine learning-assisted monitoring can effectively process large amounts of complex FDI data and automatically identify interference characteristics and patterns through model training.And thirdly,FDI at different stages corresponds to distinct physical processes.A physics-data dual-driven diagnosis approach is essential to closely integrate diagnosis methods with field applications.In addition,throughout the full lifecycle management of oil and gas wells,FDI should be fully considered,and production regimes should be dynamically adjusted.This study establishes a theoretical framework for staged diagnosis and provides an integrated diagnostic strategy based on multi-source information fusion for the development of diagnosis methods for FDI in tight reservoirs,as well as for process design that considers such interference.关键词
致密储层/水力压裂/井间干扰/裂缝网络/诊断方法/干扰特征Key words
tight reservoir/hydraulic fracturing/fracture-driven interaction/fracture network/diagnosis method/interference characteristics分类
能源科技引用本文复制引用
张衍君,许文佩,刘建斌,周德胜,黄海,马小鹏..致密储层压裂井间干扰诊断方法研究进展与展望[J].石油钻采工艺,2026,48(4):423-434,464,13.基金项目
国家自然科学基金青年项目"压裂井间干扰条件下页岩油储层井间裂缝连通机理及调控方法"(编号:52304039) （编号:52304039）
四川省井矿盐开采工程技术研究中心开放课题(编号:cfjs-gczx-002). （编号:cfjs-gczx-002）
