一种基于Boosting的油田水淹层识别算法

A boosting-based algorithm and its application in flooded oil field layer identification

油田水淹级别的判定对于寻找剩余油、提高油田开发水平和稳油控水效果至关重要.本文提出了一种基于Boosting的C4.5决策树算法用于油田水淹层识别.实验结果表明,相比单一的C4.5决策树,经Boosting算法提升后的集成C4.5分类器具有较高的识别率和泛化能力,具有较高的应用推广价值.

The oil field flooded layer identification is especially important for searching for remained oil,improving oil field developing capability.A boosting-based C4.5 decision tree Algorithm is discussed for flooded oil field layer identification in this paper.The experiment shows that the integrated C4.5 classifier improved by boosting algorithm has better identification precision and generalization ability,compared with a single C4.5 decision tree.Therefore it is of great value.