%0 Journal Article
%T 基于主成分分析法的优势通道识别新方法<br>A New Method to Identify Dominant Channel Based on Principal Component Analysis
%A 陈存良
%A 何芬
%A 刘美佳
%A 吴穹螈
%A 刘超
%J Advances in Porous Flow
%P 1-7
%@ 2164-5663
%D 2019
%I Hans Publishing
%R 10.12677/APF.2019.91001
%X 为了有效识别优势通道、提高中高含水期油田的采收率，针对优势通道识别方法中考虑因素较少、处理难度大的问题，基于主成分分析法提出了一种优势通道识别新方法。从优势通道的成因和优势通道形成后的动态响应两个方面出发，筛选出13个评价指标，从而构成了识别优势通道的评价指标体系，进而利用主成分分析法将零散指标整合形成综合指标，最后根据综合指标的相对大小进行优势通道的识别。该方法在某油田区块进行了应用，成功指导了注水井调剖作业，调剖后含水下降1.20%，累计增油1.10万方，对油田后续进一步提高采收率提供了技术支持。<br />
In order to effectively identify the dominant channel and improve oil recovery in medium and high water cut oilfields, a new method of dominant channel identification based on principal component analysis is proposed. This method can solve the problems of fewer factors and difficult processing in the dominant channel identification method. Thirteen evaluation indicators are selected from the causes of the dominant channel and the dynamic response after the formation of the dominant channel, thus constituting the evaluation index system for identifying the dominant channel. Then, the scattered indicators are integrated into comprehensive indicators by principal component analysis method. Finally, the dominant channel is identified according to the relative size of the comprehensive indicators. This method has been applied in an oilfield block and successfully guided the profile control operation of injection wells. After profile control, the water cut has decreased by 1.20%, and the cumulative oil increase is 11,000 square meters, which provides technical support for further enhancing oil recovery in the oilfield.
%K 主成分分析法，稠油，优势通道，采收率，中高含水期<br>Principal Component Analysis
%K Heavy Oil
%K Dominant Channel
%K Recovery Yield
%K Middle and High Water Cut Period
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=31038