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Research on calibrating rock mechanical parameters with a statistical method
Liu, Zhen ; Guo, Ye ; Du, Shuheng ; Wu, Gengyu ; Pan, Mao
刊名PLOS ONE
2017
关键词LOW-PERMEABILITY RESERVOIR INTERPRETIVE TOOLS 3D ALGORITHM FAULTS AREAS
DOI10.1371/journal.pone.0176215
英文摘要Research on the modeling of rock mechanics parameters is of great significance to the exploration of oil and gas. The use of logging data with the Kriging interpolation to study rock mechanics parameters has been proven to be effective in reservoir prediction and other oilfield applications and can provide additional data. However, there will sometimes be a great deviation due to the limited samples and the strong heterogeneity of a layer. To solve this problem, a new approach was proposed to calibrate rock mechanical models through the statistical analysis of logging data. A module was developed to calibrate rock mechanics parameters automatically, which was then applied to the Wangyao area of the Ansai oilfield. This method significantly improved the accuracy of rock mechanics modeling.; National Megaproject of Science Research of China "Development of large scale oil-gas fields and CBM" [2016ZX05013005-009]; SCI(E); ARTICLE; 5; 12
语种英语
内容类型期刊论文
源URL[http://ir.pku.edu.cn/handle/20.500.11897/473366]  
专题地球与空间科学学院
推荐引用方式
GB/T 7714
Liu, Zhen,Guo, Ye,Du, Shuheng,et al. Research on calibrating rock mechanical parameters with a statistical method[J]. PLOS ONE,2017.
APA Liu, Zhen,Guo, Ye,Du, Shuheng,Wu, Gengyu,&Pan, Mao.(2017).Research on calibrating rock mechanical parameters with a statistical method.PLOS ONE.
MLA Liu, Zhen,et al."Research on calibrating rock mechanical parameters with a statistical method".PLOS ONE (2017).
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