Application of distributed fiber optic monitoring technology in segmented fracturing of horizontal wells
During the segmented fracturing process of horizontal wells,a large amount of complex data monitoring and processing work is involved.At the same time,the uncertainty of the fracturing process brings greater difficulty to real-time monitoring.The traditional un-derground monitoring methods have problems such as low monitoring accuracy,electromagnetic interference,and high cost.The emer-gence of distributed fiber optic sensing technology provides new solutions for these urgent problems.Distributed fiber optic sensing tech-nology is gradually being applied in oil fields due to its advantages of low cost,high temperature resistance,stable properties,and immu-nity from electromagnetic interference.This article studied on the current application status of segmented fracturing in horizontal wells,analyzed the technical principles of distributed fiber optic sensing,summarized the underground installation methods of distributed fiber optic sensing,summarized the application status of distributed fiber optic sensing technology in segmented fracturing in horizontal wells,and finally proposed development suggestions for distributed fiber optic monitoring technology.Research suggests that distributed fiber optic sensing technology has received widespread attention and will become an important tool for underground monitoring.The applica-tion of distributed optical fiber sensing in segmented fracturing of horizontal wells mainly includes diagnosis of fracturing fluid injection distribution,diagnosis of artificial crack initiation and extension,monitoring of packer leakage,and quantitative interpretation of DTS/DAS data.The interpretation methods for future temperature and acoustic monitoring data will develop towards the application direction of quantitative interpretation.
horizontal well segmented fracturingdistributed fiber optic monitoringunderground installationdistributed temperature sensingdistributed acoustic sensingdata interpretation
万方数据
维普
