低压低产页岩气井智能生产优化方法  

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

作　　者：祝启康 林伯韬[1] 杨光[3] 王俐佳 陈满 ZHU Qikang;LIN Botao;YANG Guang;WANG Lijia;CHEN Man(College of Artificial Intelligence,China University of Petroleum,Beijing 102249,China;College of Safety and Ocean Engineering,China University of Petroleum,Beijing 102249,China;College of Information Science and Engineering,China University of Petroleum,Beijing 102249,China;Sichuan Shale Gas Exploration and Development Co.LTD,Neijiang 641100,China;China National Petroleum Corporation Southwest Oil and Gas Field Company Sichuan Changning Natural Gas Development Co.Ltd,Changning 644000,China)

机构地区：[1]中国石油大学(北京)人工智能学院,北京102249 [2]中国石油大学(北京)安全与海洋工程学院,北京102249 [3]中国石油大学(北京)信息科学与工程学院,北京102249 [4]四川页岩气勘探开发有限责任公司,四川内江641100 [5]中国石油西南油气田公司四川长宁天然气开发有限责任公司,四川长宁644000

出　　处：《石油勘探与开发》2022年第4期770-777,共8页Petroleum Exploration and Development

基　　金：国家科技重大专项“大型油气田及煤层气开发”课题4“页岩气排采工艺技术与应用”(2017ZX05037-004)

摘　　要：针对页岩气井在生产后期因积液和地层压力不足影响产量的问题,提出一种适用于低压低产页岩气井的智能生产优化方法,以人工智能算法为中心,实现气井的自动生产和运行监测。智能生产优化方法基于长短期记忆神经网络预测单井产量变化,指导气井生产,实现积液预警和自动间歇生产等功能,配合可调式油嘴实现气井控压稳产,延长页岩气井正常生产时间,提高井场自动化水平,实现“一井一策”的精细化生产管理模式。现场试验结果显示,优化后的单井最终可采储量可提高15%。相较于衰竭式开发后立刻采用排采工艺的开发模式,该方法更具有经济性,且增产稳产效果显著,具有较好的应用前景。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：页岩气 低压低产气井 生产优化 人工智能 长短期记忆神经网络 可调式油嘴 

分 类 号：TP392[自动化与计算机技术—计算机应用技术]