摘要
页岩气产能评价方法研究可以实现产能的计算、预测和评价,为气井配产和气藏工程研究奠定基础。在对涪陵页岩气藏的勘探开发、气藏地质和典型井生产状况与产能特征认识基础上,采用三种方法综合确定该气藏的产能。针对30口井的产能测试资料建立了适合该气藏的改进的一点法产能计算公式;在分析影响页岩气井产能主控因素的基础上,通过非线性多元回归分析方法建立了数学模型以预测单井的产能;通过数值模拟建立了确定单井产能的数值模拟方法。实例计算表明,这三种方法都是计算、预测和评价页岩气藏单井产能的可行途径,三种方法可以在不同的情况下使用,其计算结果可靠。
The researches on the evaluating methods of the shale gas productivity can realize the calculation,prediction and evaluation of the productivity and moreover can lay the foundation for further researches on the gas well production allocation and reservoir engineering. Based on the knowledges of the exploration and development,geology and characteristics of the typical well production performances and productivity for Fuling shale gas reservoirs,the three methods were adopted to comprehensively determine the shale gas productivity. In the light of the well test data of 30 wells,the improved suitable-to-the-reservoir one-point method was established to calculate the shale gas productivity; On the basis of the analysis on the major factors influencing the productivity of the shale gas well,with the help of nonlinear multiple regression analysis method,the mathematical model was built to predict the shale gas well productivity; by means of the numerical modeling,the numerical simulating method was established for the individual well productivity. The case calculation shows that all the three methods are feasible to calculate,predict and evaluate the productivity of the gas well in the shale gas reservoirs,and furthermore they can be adopted under the different conditions and moreover the calculated results are reliable.
作者
张艺钟
张茂林
喻高明
方圆
刘尧文
李继庆
ZHANG Yizhong ZHANG Maolin YU Gaoming FANG Yuan LIU Yaowen LI Jiqing(Yangtze University, Wuhan 430100, China Southwest Petroleum University, Chengdu 610500, China Jianghan Oilfield Company, Qianjiang 433100, China)
出处
《大庆石油地质与开发》
CAS
CSCD
北大核心
2017年第1期161-164,共4页
Petroleum Geology & Oilfield Development in Daqing
基金
国家科技重大专项大型油气田及煤层气开发"涪陵页岩气技术集成与示范体系建设"(2016ZX05060006)
关键词
页岩气
产能
一点法
数值模拟
统计回归
shale gas
productivity
one-point method
numerical simulation
statistical regression
