Environmental risk assessment using FMEA and entropy based on TOPSIS method: a case study oil wells drilling
Drilling is among the major processes of exploration, description, and development of oil and gas reservoirs with a strategic significance in the oil industry. It has also always been a major challenge in the oil industry. Because of the importance of drilling in major upstream oil and gas industrie...
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| Format: | Article |
| Language: | English |
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REA Press
2022-03-01
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| Series: | Big Data and Computing Visions |
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| Online Access: | https://www.bidacv.com/article_145893_f25a390fb791b90e6d404737dc554c96.pdf |
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| _version_ | 1832579341023707136 |
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| author | Negar Afzali Behbahani Mazdak Khodadadi-Karimvand Afarin Ahmadi |
| author_facet | Negar Afzali Behbahani Mazdak Khodadadi-Karimvand Afarin Ahmadi |
| author_sort | Negar Afzali Behbahani |
| collection | DOAJ |
| description | Drilling is among the major processes of exploration, description, and development of oil and gas reservoirs with a strategic significance in the oil industry. It has also always been a major challenge in the oil industry. Because of the importance of drilling in major upstream oil and gas industries, identifying related risks is also of great importance. Risk assessment systems are tools for identifying potential risks and assessing their levels, which have been widely used in various industries and disciplines in recent years. Accordingly, this study identified and assessed major environmental risks caused by onshore and offshore drilling operations and presented an approach to reduce their risk levels. Offshore and onshore risks were identified after identifying the drilling operation of oil wells. Indexes used in the FMEA method were selected to determine the most significant risks. The identified risks were then ranked by experts and entered the TOPSIS decision matrix as a useful technique to prioritize and select the most significant and most effective risks. Shannon's Entropy was used to weight identified indexes. Finally, 33 environmental risks resulting from oil well drilling operations in onshore and offshore ecosystems were identified. Corrective measures were presented for each environment to reduce the level of identified risks and their effect on the environment. |
| format | Article |
| id | doaj-art-7e03678a7e244b25a9e989af2ace55a4 |
| institution | Kabale University |
| issn | 2783-4956 2821-014X |
| language | English |
| publishDate | 2022-03-01 |
| publisher | REA Press |
| record_format | Article |
| series | Big Data and Computing Visions |
| spelling | doaj-art-7e03678a7e244b25a9e989af2ace55a42025-01-30T12:21:39ZengREA PressBig Data and Computing Visions2783-49562821-014X2022-03-0121313910.22105/bdcv.2022.331778.1054145893Environmental risk assessment using FMEA and entropy based on TOPSIS method: a case study oil wells drillingNegar Afzali Behbahani0Mazdak Khodadadi-Karimvand1Afarin Ahmadi2Department of Natural Resources and Environment, Science and Research Branch, Islamic Azad University, Tehran, Iran.Department of Industrial Engineering, Najafabad Branch, Islamic Azad University, Isfahan, Iran.Department of Natural Resources and Environment, Science and Research Branch, Islamic Azad University, Tehran, Iran.Drilling is among the major processes of exploration, description, and development of oil and gas reservoirs with a strategic significance in the oil industry. It has also always been a major challenge in the oil industry. Because of the importance of drilling in major upstream oil and gas industries, identifying related risks is also of great importance. Risk assessment systems are tools for identifying potential risks and assessing their levels, which have been widely used in various industries and disciplines in recent years. Accordingly, this study identified and assessed major environmental risks caused by onshore and offshore drilling operations and presented an approach to reduce their risk levels. Offshore and onshore risks were identified after identifying the drilling operation of oil wells. Indexes used in the FMEA method were selected to determine the most significant risks. The identified risks were then ranked by experts and entered the TOPSIS decision matrix as a useful technique to prioritize and select the most significant and most effective risks. Shannon's Entropy was used to weight identified indexes. Finally, 33 environmental risks resulting from oil well drilling operations in onshore and offshore ecosystems were identified. Corrective measures were presented for each environment to reduce the level of identified risks and their effect on the environment.https://www.bidacv.com/article_145893_f25a390fb791b90e6d404737dc554c96.pdfoil and gas well drillingenvironmental risk assessmentfailure mode and effects analysistechnique for order of preference by similarity to ideal solutionshannon entropy |
| spellingShingle | Negar Afzali Behbahani Mazdak Khodadadi-Karimvand Afarin Ahmadi Environmental risk assessment using FMEA and entropy based on TOPSIS method: a case study oil wells drilling Big Data and Computing Visions oil and gas well drilling environmental risk assessment failure mode and effects analysis technique for order of preference by similarity to ideal solution shannon entropy |
| title | Environmental risk assessment using FMEA and entropy based on TOPSIS method: a case study oil wells drilling |
| title_full | Environmental risk assessment using FMEA and entropy based on TOPSIS method: a case study oil wells drilling |
| title_fullStr | Environmental risk assessment using FMEA and entropy based on TOPSIS method: a case study oil wells drilling |
| title_full_unstemmed | Environmental risk assessment using FMEA and entropy based on TOPSIS method: a case study oil wells drilling |
| title_short | Environmental risk assessment using FMEA and entropy based on TOPSIS method: a case study oil wells drilling |
| title_sort | environmental risk assessment using fmea and entropy based on topsis method a case study oil wells drilling |
| topic | oil and gas well drilling environmental risk assessment failure mode and effects analysis technique for order of preference by similarity to ideal solution shannon entropy |
| url | https://www.bidacv.com/article_145893_f25a390fb791b90e6d404737dc554c96.pdf |
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