LAPSE:2023.20324
Published Article
LAPSE:2023.20324
Models for the Multicriteria Selection of Options for Decommissioning Projects for Offshore Oil and Gas Structures
Ibragim Khalidov, Konstantin Milovidov, Yury Stepin
March 17, 2023
Abstract
Companies are striving to optimize the decommissioning process of oil and gas facilities in order to reduce overall costs. Various options and criteria for making decisions on the liquidation of objects are considered, which are based on a multicriteria approach that allows optimizing this complex process. The most important characteristics of a reliable model for optimizing options for decommissioning oil and gas facilities are defined as follows: the option should take into account qualitative and quantitative criteria. To minimize the subjectivity of human judgment, a systematic poll of skilled performers should be conducted using a well-structured technique. It is shown that multicriteria decision analysis can be considered as an adequate model for choosing options for decommissioning oil and gas assets. Based on a test case that reflects the practice of decommissioning offshore platforms in the state of California (USA), the logic and algorithm of calculations are reproduced when choosing the best options for decommissioning facilities. The presented calculation scheme is quite universal and can be used at other facilities, including Russian ones. In order to determine the optimal choice, three options for the project model for the decommissioning of oil and gas facilities of offshore structures (platforms) were considered: complete liquidation, partial liquidation, and leaving in place.
Keywords
analytic hierarchy process, criteria, decommissioning, multicriteria risk assessment, platforms, ranking models
Suggested Citation
Khalidov I, Milovidov K, Stepin Y. Models for the Multicriteria Selection of Options for Decommissioning Projects for Offshore Oil and Gas Structures. (2023). LAPSE:2023.20324
Author Affiliations
Khalidov I: Department of International Oil and Gas Business, Gubkin Russian State University of Oil and Gas (National Research University), 119991 Moscow, Russia [ORCID]
Milovidov K: Department of International Oil and Gas Business, Gubkin Russian State University of Oil and Gas (National Research University), 119991 Moscow, Russia
Stepin Y: Department of Automated Control Systems, Gubkin Russian State University of Oil and Gas (National Research University), 119991 Moscow, Russia
Journal Name
Energies
Volume
16
Issue
5
First Page
2253
Year
2023
Publication Date
2023-02-26
ISSN
1996-1073
Version Comments
Original Submission
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PII: en16052253, Publication Type: Journal Article
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LAPSE:2023.20324
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https://doi.org/10.3390/en16052253
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