DocumentCode
2757773
Title
Quantitative Evaluation of Oil and Gas Resources: A Geological Analogy Model Based on Delphi Method
Author
Liu, Gang ; Wang, Yanni ; Wang, Xianyong ; Pan, Yuandun
Author_Institution
Fac. of Earth Resources, China Univ. of Geosci., Wuhan, China
Volume
2
fYear
2009
fDate
14-16 Aug. 2009
Firstpage
603
Lastpage
607
Abstract
One trend of oil and gas prediction and evaluation is computer-aided quantitative approach. Aiming at complicated factors and numerous parameters of oil and gas resources estimation, the method with combination of geological analogy model and probabilistic model and corresponding flowcharts were introduced. The quantitative estimation process was performed by using Delphi method and Monte Carlo calculation method to give a curve of inverse cumulative probability to support decision-making. Geological analogy method based on probabilistic model has better adaptability than the traditional analogy method. The final comprehensive probability curve of quantitative estimation of oil and gas resources can be obtained, which has a good practical significance.
Keywords
Monte Carlo methods; decision making; decision support systems; environmental science computing; geology; hydrocarbon reservoirs; oils; probability; Delphi method; Monte Carlo calculation method; computer-aided quantitative approach; decision-making; flowcharts; gas resources estimation; geological analogy model; inverse cumulative probability curve; oil resources estimation; probabilistic model; quantitative estimation process; quantitative evaluation; Computer science education; Decision making; Earth; Feedback; Fuzzy systems; Geology; Laboratories; Monte Carlo methods; Petroleum; Probability; Delphi method; Monte Carlo calculation method; geological analogy model; oil and gas resources; quantitative evaluation;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
Conference_Location
Tianjin
Print_ISBN
978-0-7695-3735-1
Type
conf
DOI
10.1109/FSKD.2009.725
Filename
5359524
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