DOI: 10.1306/05211514104
Scopus记录号: 2-s2.0-84958987001
论文题名: Characterization of natural fracture systems: Analysis of uncertainty effects in linear scanline results
作者: Santos R.F.V.C. ; Miranda T.S. ; Barbosa J.A. ; Gomes I.F. ; Matos G.C. ; Gale J.F.W. ; Neumann V.H.L.M. ; Guimaraes L.J.N.
刊名: AAPG Bulletin
ISSN: 0149-1441
EISSN: 1558-9171
出版年: 2015
发表日期: 2015
卷: 99, 期: 12 起始页码: 2203
结束页码: 2219
语种: 英语
Scopus关键词: Errors
; Flow of fluids
; Fracture
; Geologic models
; Monte Carlo methods
; Random errors
; Structural geology
; Systematic errors
; Fracture characterization
; Geomechanical model
; Hydrocarbon reserves
; Natural fracture system
; Naturally fractured reservoirs
; Opening mode fracture
; Propagation of error
; Research communities
; Uncertainty analysis
Scopus学科分类: Energy
; Earth and Planetary Sciences
英文摘要: The exploitation of hydrocarbon reserves in naturally fractured reservoirs composed of different types of rocks has drawn considerable attention from the fracture characterization research community because of the importance of fractures to the prediction of fluid flow. One of the most common methods for rapidly analyzing fracture features is the scanline technique, which provides an estimate of fracture density and frequency. Despite the confidence provided by the systematic use of this method, errors and uncertainties caused by sampling biases exist. The problems caused by these uncertainties can detrimentally affect the construction of a computational model due to misleading trends. This study evaluated the uncertainty caused by sampling biases in the scanline data of opening-mode fractures in outcrops of naturally fractured Aptian laminated limestone from the Crato Formation, Araripe Basin, northeastern Brazil. The Monte Carlo method was chosen to introduce random values into the sampled values, which enabled us to verify the importance of errors in the accuracy of the method of representing the fracture network. In this study, errors and uncertainties were grouped into one parameter, termed the coefficient of uncertainty, which was defined as the ratio between the uncertainties, created by the errors and artifacts introduced artificially, and the original scanline data. The propagation of errors and uncertainties in the scanline data to the coefficients of the corresponding power law were determined. This evaluation can be applied in the construction of more reliable geomechanical models using analog geological models for naturally fractured reservoirs. © Copyright 2015. The American Association of Petroleum Geologists. All rights reserved. URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84958987001&doi=10.1306%2f05211514104&partnerID=40&md5=0011f73dce5c4ab691555205a2d767ca
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/13012
Appears in Collections: 过去全球变化的重建 影响、适应和脆弱性 科学计划与规划 气候变化与战略 全球变化的国际研究计划 气候减缓与适应 气候变化事实与影响
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Recommended Citation:
Santos R.F.V.C.,Miranda T.S.,Barbosa J.A.,et al. Characterization of natural fracture systems: Analysis of uncertainty effects in linear scanline results[J]. AAPG Bulletin,2015-01-01,99(12)