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一种无阻流量预测方法

孟雅蕾 师红宇 王予

计算机与现代化Issue(4):33-37,5.
计算机与现代化Issue(4):33-37,5.DOI:10.3969/j.issn.1006-2475.2024.04.006

一种无阻流量预测方法

A Method of Predicting Open Flow Potential

孟雅蕾 1师红宇 1王予2

作者信息

  • 1. 西安工程大学计算机科学学院,陕西 西安 710048
  • 2. 中国石油天然气股份有限公司长庆油田分公司勘探事业部,陕西 西安 710021
  • 折叠

摘要

Abstract

The traditional method of predicting open flow potential is calculated through gas test operation,which has long opera-tion cycle and large capital investment.However,in the early stage of gas exploration and development,a large number of param-eters obtained from logging can effectively reflect the advantages and disadvantages of reservoir properties.In this paper,a rela-tionship model between logging parameters and open flow potential is established.First,K-means clustering analysis method is used to analyze and select,preprocess and transform logging parameters.Then,the improved ID3 algorithm is used to design the open flow potential prediction method,to construct the open flow potential decision tree and form the open flow potential decision scheme for the target interval of a single well.The experiment results show that this method can effectively predict open flow po-tential and single well productivity by using logging parameters.Through omitting the gas test operation,we can speed up the gas field production schedule,reduce the development cost,and improve the economic benefits of gas field development.

关键词

K-means/无阻流量/聚类分析/决策树/ID3

Key words

K-means/open flow potential/cluster analysis/decision tree/ID3

分类

信息技术与安全科学

引用本文复制引用

孟雅蕾,师红宇,王予..一种无阻流量预测方法[J].计算机与现代化,2024,(4):33-37,5.

基金项目

陕西省重点研发计划项目(2022GY-058) (2022GY-058)

计算机与现代化

OACSTPCD

1006-2475

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