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Intelligent production optimization method for a low pressure and low productivity shale gas well

查看全文 作　　者：ZHU [1,2]Qikang;LIN [1]Botao;YANG [3]Guang;WANG [4]Lijia;CHEN [5]Man 高影响力作者 机构地区：[1]College of Artificial Intelligence,China University of Petroleum,Beijing 102249,China;[2]College of Safety and Ocean Engineering,China University of Petroleum,Beijing 102249,China;[3]College of Information Science and Engineering,China University of Petroleum,Beijing 102249,China;[4]Sichuan Shale Gas Exploration and Development Co.LTD,Neijiang 641100,China;[5]China National Petroleum Corporation Southwest Oil and Gas Field Company Sichuan Changning Natural Gas Development Co.Ltd,Changning 644000,China高影响力机构 出　　处：《Petroleum Exploration and Development》索引2022年第49卷第4期,共9页高影响力期刊 基　　金：Supported by the China National Science and Technology Major Project(2017ZX05037-004). 摘　　要：Shale gas wells frequently suffer from liquid loading and insufficient formation pressure in the late stage of production.To address this issue,an intelligent production optimization method for low pressure and low productivity shale gas well is proposed.Based on the artificial intelligence algorithms,this method realizes automatic production and monitoring of gas well.The method can forecast the production performance of a single well by using the long short-term memory neural network and then guide gas well production accordingly,to fulfill liquid loading warning and automatic intermittent production.Combined with adjustable nozzle,the method can keep production and pressure of gas wells stable automatically,extend normal production time of shale gas wells,enhance automatic level of well sites,and reach the goal of refined production management by making production regime for each well.Field tests show that wells with production regime optimized by this method increased 15%in estimated ultimate reserve(EUR).Compared with the development mode of drainage after depletion recovery,this method is more economical and can increase and stabilize production effectively,so it has a bright application prospect. 关 键 词：shale gas low pressure and low productivity gas well production optimization artificial intelligence long short-term memory neural network adjustable nozzle
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