Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Journal of Chengdu University of Technology(Science & Technology Edition)》 2018-03
Add to Favorite Get Latest Update

Research on variogram fitting method and its application based on the improved quantum particle swarm algorithm

XIE Yuan;LI Qiong;CHEN Jie;HE Rongsheng;College of Geophysics,Chengdu University of Technology;  
The improved algorithm is used for the fitting of the variation function in order to predict the reservoir heterogeneity and overcome the shortcomings of the traditional variation function fitting method.The advantage of quickly jumping out of the local minimum by Cauchy mutation is used to improve the quantum swarm optimization(PSO)algorithm by using the linear expansion factor,and the improved algorithm is applied to the fitting of the spherical model of the variance function and to the analysis of the plane heterogeneity of a reservoir.The experimental results show that the improved algorithm achieves the automatic fitting of the parameters,and the fitted variable function has higher accuracy than the traditional weighted least squares fitting method,and it well reflects the difference of the heterogeneity of reservoirs in different directions.Therefore,the variation function based on improved quantum particle swarm optimization can be applied to the prediction of reservoir plane heterogeneity.
【Fund】: 国家自然科学基金项目(41274129);; 国家科技重大专项(2011ZX05035-005-003HZ)
【CateGory Index】: P618.13
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved