IDENTIFICATION OF THE POTENTIALITY OF REMAINING OIL BY GREY-CLUSTERING ANALYSIS
Huang Wen-fen · Journal of Chengdu University of Technology · 2001
On the basis of synthetically analyzing the routine geology information and development data, the potentiality of the area rich in remaining oil can be estimated quantitatively by the grey clustering analysis. In this paper, clustering indices, such as efficient thickness, porosity, oil saturation, heterogeneity coefficient, sedimentary facies, structure configuration, sandbody location, perforating degree, and so on, are picked out from the potential area in the west 7 th block, Gudong oilfield. The brighten function and clustering weightiness of these indices are also determinated. Based on the maximal clustering coefficient, one can identify the most potential area(s) quantitatively.