检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:孟雅蕾 师红宇[1] 王予 MENG Yalei;SHI Hongyu;WANG Yu(School of Computer Science,Xi’an Polytechnic University,Xi’an 710048,China;Petroleum Exploration Division,Changqing Oil Field of PetroChina,Xi’an 710021,China)
机构地区:[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
出 处:《计算机与现代化》2024年第4期33-37,共5页Computer and Modernization
基 金:陕西省重点研发计划项目(2022GY-058)。
摘 要:传统的预测无阻流量的方法是通过试气作业计算得到的,该方法作业周期长、资金投入大。但在气田勘探开发的初期,测井获得的大量参数可以有效反映出储层性质的优劣。本文建立一种测井参数与无阻流量的关系模型,采用Kmeans聚类分析方法对测井参数进行分析选取、预处理和转换;在此基础上,采用改进的ID3算法设计无阻流量预测算法,构建无阻流量决策树,形成单井目的层段的无阻流量判定方案。经过实验验证,该方法可以有效利用地质类数据预估无阻流量,预测单井产能,省略试气环节,加快气田投产进度,压缩开发成本,提高气田开发的经济效益。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
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.7