DOI: 10.1306/03241108148
Scopus记录号: 2-s2.0-81755184475
论文题名: From outcrop to flow simulation: Constructing discrete fracture models from a LIDAR survey
作者: Wilson C.E. ; Aydin A. ; Karimi-Fard M. ; Durlofsky L.J. ; Sagy A. ; Brodsky E.E. ; Kreylos O. ; Kellogg L.H.
刊名: AAPG Bulletin
ISSN: 0149-1820
EISSN: 1558-9550
出版年: 2011
发表日期: 2011
卷: 95, 期: 11 起始页码: 1883
结束页码: 1906
语种: 英语
Scopus关键词: Breakthrough time
; Characteristic frequencies
; Discrete fracture network
; Discrete-fracture models
; Extraction method
; Field observations
; Fracture length
; Fracture network
; Gaussian curvatures
; LIDAR data
; Lidar surveys
; Light detection and ranging
; Manual methods
; Natural fracture
; Priori knowledge
; Prototype workflow
; Research efforts
; Research goals
; Semi-automated
; Subsurface fluid flow
; Surface Classification
; University of California
; Flow simulation
; Optical radar
; Petroleum reservoir engineering
; Surveys
; Three dimensional
; Visualization
; Fracture
; chalk
; Cretaceous
; curvature
; flow modeling
; fluid flow
; fracture network
; fracture orientation
; Gaussian method
; hydrocarbon reservoir
; lidar
; oil field
; outcrop
; research work
; subsurface flow
; three-dimensional modeling
; visualization
; California
; United States
Scopus学科分类: Energy
; Earth and Planetary Sciences
英文摘要: Terrestrial light detection and ranging (LIDAR) surveys offer potential enrichment of outcrop-based research efforts to characterize fracture networks and assess their impact on subsurface fluid flow. Here, we explore two methods to extract the three-dimensional (3-D) positions of natural fractures from a LIDAR survey collected at a roadcut through the Cretaceous Austin Chalk: (1) a manual method using the University of California, Davis, Keck Center for Active Visualization in the Earth Sciences and (2) a semiautomated method based on mean normal and Gaussian curvature surface classification. Each extraction method captures the characteristic frequencies and orientations of the primary fracture sets that we identified in the field, yet they extract secondary fracture sets with varying ability. After making assumptions regarding fracture lengths and apertures, the extracted fractures served as a basis to construct a discrete fracture network (DFN) that agrees with field observations and a priori knowledge of fracture network systems. Using this DFN, we performed flow simulations for two hypothetical scenarios: with and without secondary fracture sets. The results of these two scenarios indicate that for this particular fracture network, secondary fracture sets marginally impact (∼ 10% change) the breakthrough time of water injected into an oil-filled reservoir. Our work provides a prototype workflow that links outcrop fracture observations to 3-D DFN model flow simulations using LIDAR data, an approach that offers some improvement over traditional field-based DFN constructions. In addition, the techniques we used to extract fractures may prove applicable to other outcrop studies with different research goals. © 2011. The American Association of Petroleum Geologists. URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-81755184475&doi=10.1306%2f03241108148&partnerID=40&md5=933a02072f750ca9a63393724bd2e7a9
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/13389
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
There are no files associated with this item.
Recommended Citation:
Wilson C.E.,Aydin A.,Karimi-Fard M.,et al. From outcrop to flow simulation: Constructing discrete fracture models from a LIDAR survey[J]. AAPG Bulletin,2011-01-01,95(11)