Classification of Hard-to-Recover Reserves Based on FCM and Combination weighting approach
Currently,the classification criterion of reserves were determined by the scope of the values of criteria such as geological attributes,reservoir phydical parameters and etc.,which required all attribute values of one block were just right in the existing range of criteria,otherwise it would be difficult to divide the hard-to-recover reserves into different categories.To solve this problem,this paper combined with Fuzzy c-Means clustering algorithm(FCM) and combination weighting approach to classify hard-to-recover reserves.First we use FCM to automatically search for the optimal category number of reserves based on effect indexes,then establish a combination weighting model aiming at the minimal error-sum of deviation of subjective weights and deviation of objective weights,to decide the weights of attributes and the values of effect indexes,and judge which category each block belonge to,according to the result of FCM.To verify the validity of model,this paper applies it to the classification problem of hard-to-recover reserves from an oil field in the 10th Oil Production Plant of Petro China Daqing Oilfield LLC,which conducts the rolling development of hard-to-recover reserves.
fuzzy c-Means (FCM) combination weighting approach classification of hard-to-recover reserves
Zhi Li Juan Yang Kejun Zhu
School of Economics and Management, China University of Geosciences, China
国际会议
The Twelfth Wuhan International Conference on E-Business(第十二届武汉电子商务国际会议)
武汉
英文
360-368
2013-05-25（万方平台首次上网日期，不代表论文的发表时间）