Automatic well test interpretation based on convolutional neural network for a radial composite rese

• 作 者: LI Daolun LIU Xuliang ZHA Wens
• 机 构: HefeiUniversityofTechnology,DaqingWellLoggingTechnologyServiceCompany,UniversityofScienceandTechnolo
• 出 处: 石油勘探与开发:英文版
• 发表日期: 2020年3期
• 关键词: radial composite reservoir well testing interpretation convolutional neural netw
• 基金项目: Supported by the National Science and Technology Major Project(2017ZX05009005-002)

An automatic well test interpretation method for radial composite reservoirs based on convolutional neural network(CNN) is proposed, and its effectiveness and accuracy are verified by actual field data. In this paper, based on the data transformed by loga