Search for extremity zones with discrete mathematical analysis algorithms to identify risks when drilling based on geophysical data
Despite the impressive list of examples of the integration of pattern recognition theory into various activities in the development of oil and gas fields, the authors propose a fundamentally new approach to the use of artificial intelligence. The paper considers in detail the algorithm for searching...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Russian Academy of Sciences, The Geophysical Center
2022-09-01
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| Series: | Russian Journal of Earth Sciences |
| Subjects: | |
| Online Access: | http://doi.org/10.2205/2022ES000796 |
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| _version_ | 1839608596070924288 |
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| author | Bogoutdinov Shamil Odintsova Anastasiya Pirogova A. |
| author_facet | Bogoutdinov Shamil Odintsova Anastasiya Pirogova A. |
| author_sort | Bogoutdinov Shamil |
| collection | DOAJ |
| description | Despite the impressive list of examples of the integration of pattern recognition theory into various activities in the development of oil and gas fields, the authors propose a fundamentally new approach to the use of artificial intelligence. The paper considers in detail the algorithm for searching for extremity zones, based on discrete mathematical analysis (DMA), as applied to the problem of identifying geological hazards. The application of the method is shown on models of the physical properties of rocks reconstructed from seismic data. Potentially, it can also be applied directly to the wave seismic field to identify objects. |
| format | Article |
| id | doaj-art-0c8eef64c5d948d99ba9dfbf30dba590 |
| institution | Matheson Library |
| issn | 1681-1208 |
| language | English |
| publishDate | 2022-09-01 |
| publisher | Russian Academy of Sciences, The Geophysical Center |
| record_format | Article |
| series | Russian Journal of Earth Sciences |
| spelling | doaj-art-0c8eef64c5d948d99ba9dfbf30dba5902025-07-31T08:25:11ZengRussian Academy of Sciences, The Geophysical CenterRussian Journal of Earth Sciences1681-12082022-09-012241910.2205/2022ES000796Search for extremity zones with discrete mathematical analysis algorithms to identify risks when drilling based on geophysical dataBogoutdinov Shamil0https://orcid.org/0000-0002-3171-5768Odintsova Anastasiya1Pirogova A.2Geophysical Center RASGeophysical Center of the Russian Academy of Sciences, Moscow, RussiaLomonosov Moscow State UniverisityDespite the impressive list of examples of the integration of pattern recognition theory into various activities in the development of oil and gas fields, the authors propose a fundamentally new approach to the use of artificial intelligence. The paper considers in detail the algorithm for searching for extremity zones, based on discrete mathematical analysis (DMA), as applied to the problem of identifying geological hazards. The application of the method is shown on models of the physical properties of rocks reconstructed from seismic data. Potentially, it can also be applied directly to the wave seismic field to identify objects.http://doi.org/10.2205/2022ES000796Discrete mathematical analysis density geological section permafrost gas content |
| spellingShingle | Bogoutdinov Shamil Odintsova Anastasiya Pirogova A. Search for extremity zones with discrete mathematical analysis algorithms to identify risks when drilling based on geophysical data Russian Journal of Earth Sciences Discrete mathematical analysis density geological section permafrost gas content |
| title | Search for extremity zones with discrete mathematical analysis algorithms to identify risks when drilling based on geophysical data |
| title_full | Search for extremity zones with discrete mathematical analysis algorithms to identify risks when drilling based on geophysical data |
| title_fullStr | Search for extremity zones with discrete mathematical analysis algorithms to identify risks when drilling based on geophysical data |
| title_full_unstemmed | Search for extremity zones with discrete mathematical analysis algorithms to identify risks when drilling based on geophysical data |
| title_short | Search for extremity zones with discrete mathematical analysis algorithms to identify risks when drilling based on geophysical data |
| title_sort | search for extremity zones with discrete mathematical analysis algorithms to identify risks when drilling based on geophysical data |
| topic | Discrete mathematical analysis density geological section permafrost gas content |
| url | http://doi.org/10.2205/2022ES000796 |
| work_keys_str_mv | AT bogoutdinovshamil searchforextremityzoneswithdiscretemathematicalanalysisalgorithmstoidentifyriskswhendrillingbasedongeophysicaldata AT odintsovaanastasiya searchforextremityzoneswithdiscretemathematicalanalysisalgorithmstoidentifyriskswhendrillingbasedongeophysicaldata AT pirogovaa searchforextremityzoneswithdiscretemathematicalanalysisalgorithmstoidentifyriskswhendrillingbasedongeophysicaldata |