计算机与数字工程2025，Vol.53Issue(5)：1269-1272,1285,5.DOI:10.3969/j.issn.1672-9722.2025.05.010
油藏聚驱开发指标智能预测分析研究
Intelligent Prediction and Analysis of Development Indicators for Polymer Flooding in Oil Reservoirs
高雅田 1屈青 1吴润桐2
作者信息
- 1. 东北石油大学计算机与信息技术学院 大庆 163318
- 2. 大庆油田采油工程研究院 大庆 163318
- 折叠
摘要
Abstract
The prediction of reservoir development index is very critical in the development process of reservoir polymer flood-ing stage,but at the same time,the prediction of development index is a very complex problem,so accurate prediction of oilfield de-velopment index has very critical significance in reservoir development and production.The research results of the developed index prediction methods are reviewed.It also introduces the traditional prediction models such as characteristic curve method,and the ap-plication of intelligent neural network,combinatorial model,support vector machine and other algorithms.It summarizes the main literature in this field in recent years,and introduces the characteristics and shortcomings of various prediction models.Finally,it makes a summary and prospect of developing index prediction method.关键词
开发指标/智能预测/开发指标预测/油藏/LSTM/支持向量机Key words
development index/intelligent prediction/develop index forecast/reservoir/LSTM/support vector machine分类
能源科技引用本文复制引用
高雅田,屈青,吴润桐..油藏聚驱开发指标智能预测分析研究[J].计算机与数字工程,2025,53(5):1269-1272,1285,5.
