DOI: 10.1306/04251212009
Scopus记录号: 2-s2.0-84869429673
论文题名: Geographic information system-based fuzzy-logic analysis for petroleum exploration with a case study of northern South America
作者: Bingham L. ; Zurita-Milla R. ; Escalona A.
刊名: AAPG Bulletin
ISSN: 0149-1726
EISSN: 1558-9456
出版年: 2012
发表日期: 2012
卷: 96, 期: 11 起始页码: 2121
结束页码: 2142
语种: 英语
Scopus关键词: Analysis tools
; Geographic information
; Geophysical data
; Heterogeneous data
; Multi-criteria evaluation
; Petroleum exploration
; South America
; Spatial database
; Spatial relationships
; Fuzzy logic
; Geographic information systems
; Cretaceous
; fuzzy mathematics
; GIS
; Holocene
; hydrocarbon exploration
; Miocene
; Paleogene
; petrochemical industry
; South America
Scopus学科分类: Energy
; Earth and Planetary Sciences
英文摘要: The petroleum industry is increasingly using geographic information systems (GISs) for mapping and spatial database needs because they are useful for elucidating and exploiting spatial relationships between geologic and geophysical data. However, the petroleum industry, in general, does not exploit the full potential of GIS as an analysis tool. In particular, GIS offers spatial and analytical support for multicriteria evaluation (MCE) methods, which are used to combine data to show areas best fulfilling specific criteria. Petroleum explorations would benefit from an MCE method that is spatial, is flexible for combining heterogeneous data, considers the interpretive nature of the data, is geologically applicable, and is applicable for frontier areas or where little information exists regarding probabilities of the presence of petroleum. This study proposes a GIS-based MCE method for petroleum exploration based on fuzzy logic which fulfills the previously stated requirements using 16 subcriteria and one constraint combined in tiers to produce a favorability map of potential exploration areas. A case study applied to northern South America, chosen because of its centrality to petroleum exploration, shows potential new exploration areas in the Cretaceous-Paleogene and Miocene-Holocene. The method was validated by comparing the favor-ability maps of one non-geologic age-specific and of two geologic age-specific favorability maps to known producing fields. Copyright ©2012. The American Association of Petroleum Geologists. All rights reserved. URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84869429673&doi=10.1306%2f04251212009&partnerID=40&md5=67e2a822341bbb4f061f39f6704db258
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/13296
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:
Bingham L.,Zurita-Milla R.,Escalona A.. Geographic information system-based fuzzy-logic analysis for petroleum exploration with a case study of northern South America[J]. AAPG Bulletin,2012-01-01,96(11)