An Algorithm of Management Decision-Making Regarding the Feasibility of Investing in Geological Studies of Forecasted Hydrocarbon Resources
Currently, under the conditions of increasing depletion of hydrocarbon reserves in Russia, it is necessary to consider the resource potential of poorly-researched oil and gas objects as a factor for ensuring the sustainable development of the oil and gas complex, in the context of the concept format...
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-08-01
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| Series: | Resources |
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| Online Access: | http://www.mdpi.com/2079-9276/7/3/47 |
| _version_ | 1798006707532595200 |
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| author | Alexey Cherepovitsyn Dmitry Metkin Alexander Gladilin |
| author_facet | Alexey Cherepovitsyn Dmitry Metkin Alexander Gladilin |
| author_sort | Alexey Cherepovitsyn |
| collection | DOAJ |
| description | Currently, under the conditions of increasing depletion of hydrocarbon reserves in Russia, it is necessary to consider the resource potential of poorly-researched oil and gas objects as a factor for ensuring the sustainable development of the oil and gas complex, in the context of the concept formation of rational subsoil utilization and a circular economy. The methodology of this study is based on a clear sequence of geological and economic studies of poorly-researched oil and gas objects, including four stages, such as analysis of the raw material base, assessment of the raw material potential, determination of technological development parameters, and economic evaluation. The methods of the probabilistic estimation of oil resources of the forecasted objects with regard to geological risk are outlined. Software packages “EVA—Risk Analysis” and “EVA—Economic Evaluation of Oil and Gas Field Development Projects” were used for estimation. The result of the study is the determination of the geological and economic efficiency of the development of nine hydrocarbon objects with the determination of the order of their further geological exploration, and introduction into industrial development on the example of the poorly-researched region of the Timan-Pechora oil and gas province located in the Arctic zone. |
| first_indexed | 2024-04-11T12:59:59Z |
| format | Article |
| id | doaj.art-f0fae96b73fc4678b890ebd3c7d3b3ec |
| institution | Directory Open Access Journal |
| issn | 2079-9276 |
| language | English |
| last_indexed | 2024-04-11T12:59:59Z |
| publishDate | 2018-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Resources |
| spelling | doaj.art-f0fae96b73fc4678b890ebd3c7d3b3ec2022-12-22T04:22:59ZengMDPI AGResources2079-92762018-08-01734710.3390/resources7030047resources7030047An Algorithm of Management Decision-Making Regarding the Feasibility of Investing in Geological Studies of Forecasted Hydrocarbon ResourcesAlexey Cherepovitsyn0Dmitry Metkin1Alexander Gladilin2Organization and Management Department, Saint-Petersburg Mining University, Saint-Petersburg 199106, RussiaScientific and Production Department, All-Russian Petroleum Research Exploration Institute, Saint-Petersburg 192102, Russia“EDS-Plus” Ltd., Moscow 115114, RussiaCurrently, under the conditions of increasing depletion of hydrocarbon reserves in Russia, it is necessary to consider the resource potential of poorly-researched oil and gas objects as a factor for ensuring the sustainable development of the oil and gas complex, in the context of the concept formation of rational subsoil utilization and a circular economy. The methodology of this study is based on a clear sequence of geological and economic studies of poorly-researched oil and gas objects, including four stages, such as analysis of the raw material base, assessment of the raw material potential, determination of technological development parameters, and economic evaluation. The methods of the probabilistic estimation of oil resources of the forecasted objects with regard to geological risk are outlined. Software packages “EVA—Risk Analysis” and “EVA—Economic Evaluation of Oil and Gas Field Development Projects” were used for estimation. The result of the study is the determination of the geological and economic efficiency of the development of nine hydrocarbon objects with the determination of the order of their further geological exploration, and introduction into industrial development on the example of the poorly-researched region of the Timan-Pechora oil and gas province located in the Arctic zone.http://www.mdpi.com/2079-9276/7/3/47hydrocarbon raw materialspoorly-researched resourcesmanagement decisionsinnovative program complexesgeological and investment riskseconomic evaluationprobabilistic estimation |
| spellingShingle | Alexey Cherepovitsyn Dmitry Metkin Alexander Gladilin An Algorithm of Management Decision-Making Regarding the Feasibility of Investing in Geological Studies of Forecasted Hydrocarbon Resources Resources hydrocarbon raw materials poorly-researched resources management decisions innovative program complexes geological and investment risks economic evaluation probabilistic estimation |
| title | An Algorithm of Management Decision-Making Regarding the Feasibility of Investing in Geological Studies of Forecasted Hydrocarbon Resources |
| title_full | An Algorithm of Management Decision-Making Regarding the Feasibility of Investing in Geological Studies of Forecasted Hydrocarbon Resources |
| title_fullStr | An Algorithm of Management Decision-Making Regarding the Feasibility of Investing in Geological Studies of Forecasted Hydrocarbon Resources |
| title_full_unstemmed | An Algorithm of Management Decision-Making Regarding the Feasibility of Investing in Geological Studies of Forecasted Hydrocarbon Resources |
| title_short | An Algorithm of Management Decision-Making Regarding the Feasibility of Investing in Geological Studies of Forecasted Hydrocarbon Resources |
| title_sort | algorithm of management decision making regarding the feasibility of investing in geological studies of forecasted hydrocarbon resources |
| topic | hydrocarbon raw materials poorly-researched resources management decisions innovative program complexes geological and investment risks economic evaluation probabilistic estimation |
| url | http://www.mdpi.com/2079-9276/7/3/47 |
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