Assessment and prioritisation of project risk in the oil and gas industry using fuzzy TOPSIS method

2016 ◽  
Vol 6 (4) ◽  
pp. 363
Author(s):  
Hamid Reza Koofigar ◽  
Shahab Amelian ◽  
Amir Masoud Ahmadi
Keyword(s):  
Oil And Gas ◽  
Oil And Gas Industry ◽  
Fuzzy Topsis ◽  
Topsis Method ◽  
Project Risk ◽  
Gas Industry

scholarly journals Application of Fuzzy-TOPSIS Method in Supporting Supplier Selection with Focus on HSE Criteria: A Case Study in the Oil and Gas Industry

2021 ◽  
Vol 6 (8) ◽  
pp. 105
Author(s):  
Assed N. Haddad ◽  
Bruno B. F. da Costa ◽  
Larissa S. de Andrade ◽  
Ahmed Hammad ◽  
Carlos A. P. Soares
Keyword(s):  
Supplier Selection ◽  
Oil And Gas ◽  
Oil And Gas Industry ◽  
Fuzzy Topsis ◽  
Topsis Method ◽  
Gas Industry ◽  
Selection Problems ◽  
Selection Processes ◽  
Level Of Importance

Supply chain management is an emerging topic in the oil and gas industry. There is higher exposure of contractors to undesirable incidents and supplier selection is a multicriteria decision problem (MCDM). A fuzzy-TOPSIS method was employed in the evaluation of three suppliers regarding four HSE criteria. This method was applied in a case study of the oil and gas industry involving a contractor bidding process. Results reinforced that fuzzy-TOPSIS is a versatile and suitable method for supplier selection problems, with low computational complexity and promoting a better user experience. This method contributes to greater effectiveness and agility in the selection processes of suppliers regarding HSE management. The fuzzy-TOPSIS model is suitable for supplier selection problems and some of the benefits of applying this method are that it allows the attribution weights according to the level of importance of each criterion and considers the complexity, subjectivity, and uncertainty of the decision process. One has determined that it was essential to have a robust and consistent process for weighting the criteria and defining the most appropriate linguistic variables.

scholarly journals PROJECT RISK AVOIDANCE AND PROJECT EXECUTION IN NIGERIA OIL AND GAS INDUSTRY [PENGHINDARAN RISIKO PROYEK DAN PELAKSANAAN PROYEK DI INDUSTRI MINYAK DAN GAS di NIGERIA]

2020 ◽  
Vol 15 (2) ◽  
pp. 171
Author(s):  
Ike Egboga ◽  
Gift Worlu
Keyword(s):  
Oil And Gas ◽  
Rank Order ◽  
Oil And Gas Industry ◽  
Risk Avoidance ◽  
Project Risk ◽  
Gas Industry ◽  
Rivers State ◽  
Oil And Gas Companies ◽  
The Relationship

<p>This study sought to examine the relationship between project risk avoidance and project execution in the Nigerian oil and gas industry. Specifically, the study examined the relationship between project risk avoidance and four components of project execution (budget, quality, schedule and scope) among 51 oil and gas companies operating in Rivers State, Nigeria. To achieve this objective, 102 managing executives were given questionnaires, with 82 questionnaires correctly filled and returned. Data obtained were analysed using mean scores and Spearman’s rank order correlation analysis. The study found that projects risk avoidance was positively and significantly related to all four components of project execution. The main implication of this finding is that oil and gas companies need to invest heavily in innovative technologies and processes that will enhance their ability to avoid risk, thus improving the quality of projects they execute.</p><p> </p><p><em><strong>Abstrak dalam Bahasa Indonesia.</strong>Studi ini berusaha untuk menguji hubungan antara proyek penghindaran risiko dan eksekusi proyek di industri minyak dan gas Nigeria. Secara spesifik, studi tersebut meneliti hubungan antara proyek penghindaran risiko dan empat komponen eksekusi proyek (anggaran, kualitas, jadwal dan ruang lingkup) di antara 51 perusahaan minyak dan gas yang beroperasi di Negara Bagian Rivers, Nigeria. Untuk mencapai tujuan ini, 102 eksekutif pelaksana diberikan kuesioner, dengan 82 kuesioner diisi dan dikembalikan dengan benar. Data yang diperoleh dianalisis menggunakan skor rata-rata dan analisis korelasi urutan peringkat Spearman. Studi tersebut menemukan bahwa penghindaran risiko proyek berhubungan positif dan signifikan dengan keempat komponen pelaksanaan proyek. Implikasi utama dari temuan ini adalah bahwa perusahaan minyak dan gas perlu berinvestasi besar-besaran dalam teknologi dan proses inovatif yang akan meningkatkan kemampuan mereka untuk menghindari risiko, sehingga meningkatkan kualitas proyek yang mereka jalankan.</em></p>

scholarly journals Project Risk Mitigation and Project Execution in the Nigeria Oil And Gas Industry

2021 ◽  
Vol 4 (2) ◽  
pp. 117-125
Author(s):  
Ike Egboga ◽  
Eniola Taiwo
Keyword(s):  
Oil And Gas ◽  
Risk Mitigation ◽  
Rank Order ◽  
Oil And Gas Industry ◽  
Analysis Data ◽  
Mitigation Strategies ◽  
Project Risk ◽  
Gas Industry ◽  
Risk Mitigation Strategies ◽  
Holistic Integration

The focus of this study is to examine the relationship between project risk mitigation and project execution in the Nigeria oil and gas industry. Specifically, the study examines the extent of contribution of project risk mitigation in realising project budget, quality, schedule and scope during execution. In pursuant of these objectives, survey research design was used. 102 questionnaires were administered to the Managing Directors or Chief Operating Officers and project or operations managers of the selected companies. Eighty two questionnaires were validly retrieved and used for data analysis. Data obtained were analysed mean and Spearman’s rank order correlation analysis. The study found that projects risk mitigation was significantly and positively related to project execution in terms of budget, quality, schedule and scope. The study therefore recommends that there should be a holistic integration and constant improvement of project risk mitigation strategies which will help improve the quality of projects executed in the Nigerian oil and gas industry.

Project Risk Management

2013 ◽  
Vol 2 (4) ◽  
pp. 79-101
Author(s):  
Jan Terje Karlsen ◽  
Odin Folke-Olsen ◽  
Tim Torvatn
Keyword(s):  
Risk Management ◽  
Oil And Gas ◽  
Oil And Gas Industry ◽  
Project Risk Management ◽  
Management Performance ◽  
Management Tools ◽  
Project Risk ◽  
Gas Industry ◽  
Management Processes ◽  
Contribution Index

This study is about project risk management tools. The aim has been to identify which tools have the greatest potential for contribution to risk management processes in the Norwegian oil and gas industry, and which factors contribute to efficient risk management. Empirical data from the Norwegian industry have been gathered using a questionnaire. The results revealed strong relationships between project system complexity, average tool score and risk management contribution. Furthermore, the results of the analysis show that some of the previous recommendations of tools for project risk management may have been based on a restricted set of determinants. On the other hand, similarities are also found with previous research in terms of the highest ranked tools based on perceived contribution to the risk management performance. Compared to the previous findings, this study indicates that a new measure for project management performance is needed, and that the recommendation of tools based on the risk management contribution index may be flawed. Nevertheless, it is concluded that several of the recommended tools are of great value across industries.

Project Risk Management

2015 ◽  
pp. 250-271
Author(s):  
Jan Terje Karlsen ◽  
Odin Folke-Olsen ◽  
Tim Torvatn
Keyword(s):  
Risk Management ◽  
Oil And Gas ◽  
Oil And Gas Industry ◽  
Project Risk Management ◽  
Management Performance ◽  
Management Tools ◽  
Project Risk ◽  
Gas Industry ◽  
Management Processes ◽  
Contribution Index

This study is about project risk management tools. The aim has been to identify which tools have the greatest potential for contribution to risk management processes in the Norwegian oil and gas industry, and which factors contribute to efficient risk management. Empirical data from the Norwegian industry have been gathered using a questionnaire. The results revealed strong relationships between project system complexity, average tool score and risk management contribution. Furthermore, the results of the analysis show that some of the previous recommendations of tools for project risk management may have been based on a restricted set of determinants. On the other hand, similarities are also found with previous research in terms of the highest ranked tools based on perceived contribution to the risk management performance. Compared to the previous findings, this study indicates that a new measure for project management performance is needed, and that the recommendation of tools based on the risk management contribution index may be flawed. Nevertheless, it is concluded that several of the recommended tools are of great value across industries.

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