A review of the multicriteria decision analysis applied to oil and gas decommissioning problems

Martins, Isabelle Duran; Moraes, F.F.; Távora, G.; Soares, Henrique; Infante, Eduardo; Arruda, Edilson F.; Bahiense, Laura; Caprace, Jean‐David; Lourenço, Marcelo Igor

doi:10.1016/j.ocecoaman.2019.105000

Cited by 54 publications

(41 citation statements)

References 101 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To address such a problem, one must account for the great variety of technologies and materials available, as well as the distinct environmental and socio-economic conditions of each locality. In order to evaluate the alternatives, a multidisciplinary approach is needed which involves economic, envi-ronmental, technical, social and safety aspects, among others (e.g., Martins et al, 2019b;Oil & Gas UK, 2015). Moreover, the possibly large number of stakeholders and their potentially conflicting interests can result in a very controversial process (e.g.…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, the possibly large number of stakeholders and their potentially conflicting interests can result in a very controversial process (e.g. Fowler et al, 2014;Henrion et al, 2015;Martins et al, 2019b). Typically, the decision is aided by a specialised expert system that makes use of the multi-criteria decision analysis (MCDA) framework (Martins et al, 2019b).…”

Section: Introductionmentioning

confidence: 99%

“…Fowler et al, 2014;Henrion et al, 2015;Martins et al, 2019b). Typically, the decision is aided by a specialised expert system that makes use of the multi-criteria decision analysis (MCDA) framework (Martins et al, 2019b). Indeed, such systems have been applied in the literature for a varied set of problems (e.g., Beynon et al, 2001;Del Vasto-Terrientes et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Dimensionality reduction for multi-criteria problems: An application to the decommissioning of oil and gas installations

Martins

Bahiense

Infante

et al. 2020

Expert Systems with Applications

View full text Add to dashboard Cite

This paper is motivated by decommissioning studies in the field of oil and gas, which comprise a very large number of installations and are of interest to a large number of stakeholders. Generally, the problem gives rise to complicated multi-criteria decision aid tools that rely upon the costly evaluation of multiple criteria for every piece of equipment. We propose the use of machine learning techniques to reduce the number of criteria by feature selection, thereby reducing the number of required evaluations and producing a simplified decision aid tool with no sacrifice in performance. In addition, we also propose the use of machine learning to explore the patterns of the multi-criteria decision aid tool in a training set. Hence, we predict the outcome of the analysis for the remaining pieces of equipment, effectively replacing the multicriteria analysis by the computational intelligence acquired from running it in the

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Dimensionality reduction for multi-criteria problems: An application to the decommissioning of oil and gas installations

Martins

Bahiense

Infante

et al. 2020

Expert Systems with Applications

View full text Add to dashboard Cite

show abstract

“…In 2019, 15 articles were published by the first semester. There was a predominance of six journals: Energy (26 articles), Renewable Energy (22), Energy Policy, Energies and Journal of Cleaner Production (14 each), and Applied Energy (11). The trend is for the number of publications to increase.…”

Section: Preliminary Findingsmentioning

confidence: 99%

“…MCDM methods aid decision-making recommending actions to decide what to do from a sequence of steps [9,10]. Martins et al [11] present an overview of decision-support tools applied to decommission, focusing on the oil and gas sector and multi-criteria decision analysis methods. The paper investigates deeply into the considerable aspects before reaching a decision, examining the experiences and methods found in industrial reports and academic papers.…”

Section: Introductionmentioning

confidence: 99%

Renewable Energy Problems: Exploring the Methods to Support the Decision-Making Process

et al. 2020

View full text Add to dashboard Cite

In the current scenario of increasing energy demand and encouraging sustainable development in countries, the energy sector’s planning has become more complex, involving multiple factors, such as technical, economic, environmental, social, and political. The decision process plays a vital role in structuring and evaluating complex decision situations related to the sector, considering various criteria and objectives, encouraging adopting policies to promote energy efficiency actions by increasing research on renewable energy sources and strategic energy decisions. The high number of multi-criteria decision support methods (MCDM) available and their efficiency in solving highly complex problems results in an impasse with their selection and application in specific decision situations. Thus, the scientific community requires methodological approaches that help the decision-maker select the method consistent with his problem. Accordingly, this paper conducts a Systematic Literature Review (SLR) of renewable energy problems associated with MCDM methods based on a final set of 163 articles. We identified five categories of problems solved by MCDM techniques: Source selection, location, sustainability, project performance, and technological performance. We separate the MCDM process into five evaluation steps (alternative selection, criteria selection, criteria weighting, evaluation of alternatives, and post-assessment analyzes), and we extract the methods used in each MCDM step from papers. This paper’s main contribution is identifying the most common MCDM methods in the renewable energy area and the energy problem they solve. Accordingly, this manuscript helps energy decision-makers, entrepreneurs, investors, and policy-makers to improve their ability to choose the proper MCDM methods to solve energy problems.

show abstract

Multicriteria Decision Making Methods—A Review and Case of Study

García-Alcaráz¹,

García-Alcaraz²,

Aryanfar³

et al. 2022

Handbook on Decision Making

View full text Add to dashboard Cite

A review of the multicriteria decision analysis applied to oil and gas decommissioning problems

Cited by 54 publications

References 101 publications

Dimensionality reduction for multi-criteria problems: An application to the decommissioning of oil and gas installations

Dimensionality reduction for multi-criteria problems: An application to the decommissioning of oil and gas installations

Renewable Energy Problems: Exploring the Methods to Support the Decision-Making Process

Multicriteria Decision Making Methods—A Review and Case of Study

Contact Info

Product

Resources

About