Identification method of oil content in petroleum reservoir based on cluster analysis
Reservoir oiliness prediction is one of the important contents of reservoir description.The method of cluster analysis is used to identify oil,gas and water layers from well logging data.The prediction of oil reservoir is to obtain logging data at the well location and identify the oil content of the reservoir,so as to obtain an accurate understanding of the reservoir at a well location,which can make the identification more objective and obtain a complete understanding of the reservoir.In addition,selecting a suitable algorithm for attribute extraction can improve the accuracy and efficiency of the method.Therefore,this paper will focus on the identification of oil content in petroleum reservoirs based on K-Means cluster analysis.
NETL
NSTL
万方数据
维普
