Fracture Prediction Using Rescaled Range Analysis and Based on Conventional Logging Data of Triple Media Model
详细信息
- 责任者：Chen Yiguo (Research Institute of Shannxi Yanchang Petroleum (Group) Co. Ltd. ; Xi’an 710075 ; China) ; Zhang Lixia
- 刊名：Fault-Block Oil and Gas Fields
- 出版年：2012
- 卷期：19(1)
- 关键词：裂隙型储集层 ; fractured reservoirs ; 地球物理测井 ; geophysical logging
- 页码：p.84-87
- 图表：4 illus., 19 refs.
- 分类号：1600
- issnNo：ISSN1005-8907
- isbnNo：CN41-1219/TE
摘要
Fracture distribution prediction of reservoir is important to reservoir development,water injection and distribution characteristics study of residual oil.Conventional logging data is the important means to identify fracture in well when there is not enough coring and imaging data.The log response of fractured formation is affected by the matrix lithology,the fluid contained in matrix pore and the fluid contained in fractured pore.Existing rescaled range analysis mainly concentrates on AC and GR data processing,having difficulty in distinguishing the effect of fracture and matrix pore variety on the log response and discriminating of high angle fracture.In order to overcome its shortcomings,this paper analyzes the AC,GR and LLS data and presents an improved method inversing the lithology,matrix pore and electronic features based on triple media model,which compares with acoustic imaging data,getting a perfect discriminated result that can been applied in fracture study of work area.
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