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层次分析法和模糊熵-TOPSIS方法在优化非洲代表性盆地上游石油投资中的应用

An application of AHP and fuzzy entropy-TOPSIS methods to optimize upstream petroleum investment in representative African basins.

作者信息

Cui Zhihua, Taiwo Olusoji Lawrence, Aaron Peace Mawo

机构信息

School of Civil and Transportation Engineering, Ningbo University of Technology, Ningbo, China.

Department of Geology and Geophysics, University of Aberdeen, Aberdeen, UK.

出版信息

Sci Rep. 2024 Mar 23;14(1):6956. doi: 10.1038/s41598-024-57445-9.

DOI:10.1038/s41598-024-57445-9
PMID:38521845
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11349966/
Abstract

The growing demand of China for petroleum heightens the complexities and prospects in worldwide investments, necessitating refined and strategic investment approaches. Evaluating the potential of different hydrocarbon-potential areas needs more comprehensive scientific evaluation models. This study aims to establish a Comprehensive Investment Potential of Petroleum (CIPP) framework for targeted sedimentary basins by using an integrated approach that combines the Analytic Hierarchy Process (AHP) and the Entropy-Weighted Fuzzy TOPSIS models. We focus particularly on representative African basins to inform strategic decision-making for the Chinese overseas petroleum enterprises. We firstly interpret the geological condition of these petroleum basins by researching multiple databases and proprietary research data. Then, we use a combined approach of ranking-classification-correlation analysis to evaluate 17 representative basins, taking into account both overall and individual key performance indicators. Our findings suggest the Illizi Basin and the Offshore Côte d'Ivoire Basin could be the most favorable for investment and development. Those like Southwest African Basin warrant cautious consideration. The new evaluation model and computational workflow offer an effective workflow for assessing multiple petroleum basins. This work provides not just practical investment strategies for companies aiming for African petroleum basins, but also a transferable methodology for optimizing investment decisions.

摘要

中国对石油需求的不断增长加剧了全球投资的复杂性和前景,这就需要精细且具战略性的投资方法。评估不同油气潜力区域的潜力需要更全面的科学评估模型。本研究旨在通过结合层次分析法(AHP)和熵权模糊TOPSIS模型的综合方法,为目标沉积盆地建立一个石油综合投资潜力(CIPP)框架。我们特别关注具有代表性的非洲盆地,为中国海外石油企业的战略决策提供参考。我们首先通过研究多个数据库和专有研究数据来解读这些石油盆地的地质条件。然后,我们采用排名 - 分类 - 相关性分析的组合方法,综合考虑整体和个体关键绩效指标,对17个代表性盆地进行评估。我们的研究结果表明,伊利兹盆地和科特迪瓦近海盆地可能最有利于投资和开发。像西南非洲盆地这样的地区则需谨慎考虑。新的评估模型和计算工作流程为评估多个石油盆地提供了有效的工作流程。这项工作不仅为瞄准非洲石油盆地的公司提供了切实可行的投资策略,还为优化投资决策提供了可推广的方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db05/11349966/a2fadc9459af/41598_2024_57445_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db05/11349966/bb94d2a1ea7c/41598_2024_57445_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db05/11349966/c751b81fdabb/41598_2024_57445_Fig2_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db05/11349966/dc471fcc87d1/41598_2024_57445_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db05/11349966/a2fadc9459af/41598_2024_57445_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db05/11349966/bb94d2a1ea7c/41598_2024_57445_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db05/11349966/c751b81fdabb/41598_2024_57445_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db05/11349966/ccffd390121d/41598_2024_57445_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db05/11349966/dc471fcc87d1/41598_2024_57445_Fig4_HTML.jpg
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