石油地球物理勘探2023，Vol.58Issue(6)：1508-1521,14.DOI:10.13810/j.cnki.issn.1000-7210.2023.06.023
基于电磁方法的水力压裂裂缝探测技术研究进展
Research progress on fracture detection technology of hydraulic fracturing based on electromagnetic methods
摘要
Abstract
Hydraulic fracturing is an important tool to improve the production of stratigraphic oil and gas reservoirs,and is of significance to the exploration and development of oil and gas fields.Hydraulic fractures are the main see-page channels and effective storage space for oil and gas reservoirs,and fracture identification is an important link in exploration and development.Scholars have proposed many practical technical solutions for hydraulic fracture detec-tion by electromagnetic methods.Firstly,this paper classifies and summarizes the main geometric shapes of hydrau-lic fractures from the perspective of spatial development,and analyzes the advantages and disadvantages of electro-magnetic monitoring methods for hydraulic fractures.Based on induction logging theory,new methods and technolo-gies for monitoring and identifying hydraulic fractures filled with conductive proppants by electromagnetic methods are introduced.Secondly,the research status and development trend of hydraulic fractures are reviewed in detail of vertical wells,horizontal wells,and multiple wells.Finally,the main problems and difficulties in electromagnetic detection research on hydraulic fractures are discussed.Currently,the main technical difficulty is that it is hard to master complex fracture morphology,and fracture morphology research is affected by many factors.Thus,multiple electromagnetic simulation methods should be combined for the distribution and characteristics of hydraulic fractures with multi-scale characteristics.关键词
水力压裂/电磁探测/感应测井/水力压裂裂缝形态/导电支撑剂Key words
hydraulic fracturing/electromagnetic detection/induction logging/hydraulic fracture morphology/con-ductive proppant分类
地质学引用本文复制引用
孟晋,刘得军,翟颖,李洋,刘思彤,彭娜..基于电磁方法的水力压裂裂缝探测技术研究进展[J].石油地球物理勘探,2023,58(6):1508-1521,14.基金项目
本项研究受国家自然科学基金项目"水平井水力压裂裂缝的多分量低频电磁表征机制与特征模拟研究"(42074124)资助. （42074124）
