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基于几何约束的最大控油面积井网自动生成算法

杨博

计算机与数字工程2017,Vol.45Issue(6):1015-1018,1120,5.
计算机与数字工程2017,Vol.45Issue(6):1015-1018,1120,5.DOI:10.3969/j.issn.1672-9722.2017.06.001

基于几何约束的最大控油面积井网自动生成算法

Automatic Algorithm of Maximum Oil Containment Area Well Pattern Based on Geometric Constraint

杨博1

作者信息

  • 1. 北京大学地球与空间科学学院 北京 100871
  • 折叠

摘要

Abstract

Well pattern deployment optimization can guide the new wells in the reservoir engineering network deployment, late optimization at the same time also should be well network encryption,in order to be able to the results of well pattern deploy?ment in the containment area is larger,the research based on pattern itself geometric constraint conditions and reservoir model attri?bute constraint model with the combination of well pattern optimization algorithm,the algorithm is determined by the geometric con?straint conditions,the selection of reservoir model in single well containment area of maximum attribute as constraint condition,au?tomatic generation of optimization results meet the requirements of well pattern deployment. The algorithm can be used in low perme?ability reservoirs well pattern deployment optimization design,popularization and application value.

关键词

井网部署/几何约束/属性约束/控油面积/自生成算法

Key words

Key Words well network deployment/attribute constraints/geometric constraint/maximum oil containment area/automat⁃ic algorithm

分类

信息技术与安全科学

引用本文复制引用

杨博..基于几何约束的最大控油面积井网自动生成算法[J].计算机与数字工程,2017,45(6):1015-1018,1120,5.

基金项目

国家自然科学基金项目"基于语义的多分辨率储层数据组织与管理"(编号:41472113)资助. (编号:41472113)

计算机与数字工程

OACSTPCD

1672-9722

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