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Edition and Publication:
< Natural Gas and Oil > Editorial Department
Hosted by:
China Petroleum Engineering & Construction Corporation Southwest Company
Authorized by:
China Petroleum Engineering & Construction Corporation
Co-hosted by:
Overseas Research Center of Research Institute of Petroleum Exploration and Development
Editor in Chief:
Du Tonglin
Vice Editor in Chief:
Tang Xiaoyong,Pu Liming
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No.6, Shenghua Road, High-tech District, Chengdu, Sichuan, China
Postal Code:
610041
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028-86014709
028-86014500
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cnpc-ngo@cnpc.com.cn
Issue:ISSN 1006-5539
CN 51-1183/TE

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Method for Unconventional Oil & Gas Area Selection Based on Probabilistic Analysis

Author of the article:Gu Ning, Guo Jinrui, Li Qing

Author's Workplace：1.Sinopec Exploration and Production Research Institute;2.PetroChina Planning and Engineering Institute

Key Words：Unconventional oil & gas; Exploration area selection; Probabilistic distribution

Abstract：

To screen out unconventional oil & gas area with development potential and economic benefit, it is necessary to establish a model for unconventional oil & gas under unified standard. A dual-factor semi-quantative evaluating model has been developed with geological and resource condition as target by studying petroleum geology at unconventional areas and analyzing key factors controlling unconventional oil & gas resource reservoir forming and exploitation. With probabilistic distribution analysis of each evaluating parameters from 23 unconventional areas in North America, the grading criteria for each parameter were determined respectively on their favorable tendency, which were applied to the evaluation on geological conditions and resource of unconventional areas. Based on the evaluation of unconventional developed oil & gas areas with great resource potentials and better understanding on reservoir characteristics, it is verified that the development potential of unconventional areas can be well indicated by describing evaluating models at unconventional areas via geological and resource conditions. Probabilistic analysis applied in determining grading criteria mitigates the uncertainty of parameters, which is more suitable for unconventional resource evaluation.