Abstract：The division of single well reservoir architecture is a basic research.The problems are less effective, human factors and different standards to divide reservoir architecture using traditional methods. Taking the alluvial fan in the Cangdong sag as a case,we propose a single well reservoir recognition method for alluvial fan based on core description,K-means clustering and Bayes discrimination with core and well data. Applied for the well not cored,the reservoir architecture in the well was recognized accurately,and the cause why previous recognization was not accurately was found. The new method works in four steps:divide the reservoir architecture in the well cored,build the dividing standard,define the discrimining formula,and identify the reservoir architecture in the well not cored.It is important to define the standard and identification formula for the well not cored based on the reservoir architecture divided in the well cored. Due to low resolution of logging data and lithologic changes in the transition belt,the accuracy of identifying the reservoir architecture in the well not cored positively depends on the thickness of the reservoir architecture unit.Generally,the recognition accuracy of seventh-,eighth-,ninth- order reservoir architecture units reduces in turn.
张阳, 赵平起, 芦凤明, 李际, 郭志桥, 王芮. 基于K-均值聚类和贝叶斯判别的冲积扇单井储层构型识别[J]. 石油地球物理勘探, 2020, 55(4): 873-883.
ZHANG Yang, ZHAO Pingqi, LU Fengming, LI Ji, GUO Zhiqiao, WANG Rui. Recognition of single well reservoir architecture in alluvial fan based on K-means clustering and Bayes discrimination. Oil Geophysical Prospecting, 2020, 55(4): 873-883.
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