Method of adaptive identification and diagnosis of oil reservoirs in well normal operation and short stoppages
Relevance of the work is caused by the need to determine oil reservoir parameters in normal operation of the wells equipped with stationary measuring systems for hydrodynamic monitoring and control of oil field development. Objective: To develop a method for adaptive identification and diagnosis whi...
| Main Authors: | , |
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| Format: | Article |
| Language: | Russian |
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Tomsk Polytechnic University
2019-05-01
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| Series: | Известия Томского политехнического университета: Инжиниринг георесурсов |
| Subjects: | |
| Online Access: | http://izvestiya.tpu.ru/archive/article/view/1365 |
| _version_ | 1797813234150932480 |
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| author | Ekaterina Romanova Viktor Sergeev |
| author_facet | Ekaterina Romanova Viktor Sergeev |
| author_sort | Ekaterina Romanova |
| collection | DOAJ |
| description | Relevance of the work is caused by the need to determine oil reservoir parameters in normal operation of the wells equipped with stationary measuring systems for hydrodynamic monitoring and control of oil field development. Objective: To develop a method for adaptive identification and diagnosis which allows determining the parameters of oil reservoirs in well normal operation and short stoppages, observing additional a priori information. Methods: The authors have used the theoretical and practical developments in the field of well testing, system analysis, system identification based on additional a priori information, optimization of functions and linear algebra. The identification and diagnosis problems were solved on the basis of bottom-hole pressure field data and flow rate of the wells equipped with stationary measuring systems considering expert estimates of reservoir filter parameters and using a computer program Saphir. Results: The authors developed the method of adaptive identification and diagnosis to improve the accuracy and stability of estimates of filtration parameters for oil reservoirs when obtaining data on bottom-hole pressure and flow rate of wells in their normal operation and short stoppages. By the example of processing the field data of well hydrodynamic study on pressure recovery curve of oilfield the authors carried out the comparative analysis of the methods for determining filtration parameters of uniformly porous oil reservoir. |
| first_indexed | 2024-03-13T07:49:14Z |
| format | Article |
| id | doaj.art-a4056c47bd2d49a3a9010b184b4d64e7 |
| institution | Directory Open Access Journal |
| issn | 2500-1019 2413-1830 |
| language | Russian |
| last_indexed | 2024-03-13T07:49:14Z |
| publishDate | 2019-05-01 |
| publisher | Tomsk Polytechnic University |
| record_format | Article |
| series | Известия Томского политехнического университета: Инжиниринг георесурсов |
| spelling | doaj.art-a4056c47bd2d49a3a9010b184b4d64e72023-06-02T21:08:27ZrusTomsk Polytechnic UniversityИзвестия Томского политехнического университета: Инжиниринг георесурсов2500-10192413-18302019-05-013245Method of adaptive identification and diagnosis of oil reservoirs in well normal operation and short stoppagesEkaterina RomanovaViktor SergeevRelevance of the work is caused by the need to determine oil reservoir parameters in normal operation of the wells equipped with stationary measuring systems for hydrodynamic monitoring and control of oil field development. Objective: To develop a method for adaptive identification and diagnosis which allows determining the parameters of oil reservoirs in well normal operation and short stoppages, observing additional a priori information. Methods: The authors have used the theoretical and practical developments in the field of well testing, system analysis, system identification based on additional a priori information, optimization of functions and linear algebra. The identification and diagnosis problems were solved on the basis of bottom-hole pressure field data and flow rate of the wells equipped with stationary measuring systems considering expert estimates of reservoir filter parameters and using a computer program Saphir. Results: The authors developed the method of adaptive identification and diagnosis to improve the accuracy and stability of estimates of filtration parameters for oil reservoirs when obtaining data on bottom-hole pressure and flow rate of wells in their normal operation and short stoppages. By the example of processing the field data of well hydrodynamic study on pressure recovery curve of oilfield the authors carried out the comparative analysis of the methods for determining filtration parameters of uniformly porous oil reservoir.http://izvestiya.tpu.ru/archive/article/view/1365identificationdiagnosticsadaptationhydrodynamic study of wellspressure build-up curvea-priori information |
| spellingShingle | Ekaterina Romanova Viktor Sergeev Method of adaptive identification and diagnosis of oil reservoirs in well normal operation and short stoppages Известия Томского политехнического университета: Инжиниринг георесурсов identification diagnostics adaptation hydrodynamic study of wells pressure build-up curve a-priori information |
| title | Method of adaptive identification and diagnosis of oil reservoirs in well normal operation and short stoppages |
| title_full | Method of adaptive identification and diagnosis of oil reservoirs in well normal operation and short stoppages |
| title_fullStr | Method of adaptive identification and diagnosis of oil reservoirs in well normal operation and short stoppages |
| title_full_unstemmed | Method of adaptive identification and diagnosis of oil reservoirs in well normal operation and short stoppages |
| title_short | Method of adaptive identification and diagnosis of oil reservoirs in well normal operation and short stoppages |
| title_sort | method of adaptive identification and diagnosis of oil reservoirs in well normal operation and short stoppages |
| topic | identification diagnostics adaptation hydrodynamic study of wells pressure build-up curve a-priori information |
| url | http://izvestiya.tpu.ru/archive/article/view/1365 |
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