The unified information system of geological and geophysical data is the basis of a multidisciplinary approach to the exploration and production of hydrocarbons

UDK: 550.8:681.518
DOI: 10.24887/0028-2448-2024-2-8-13
Key words: well logging, quality assessment, data mining, integrated approach, systematic approach, multidisciplinary approach, geological model, operational reserves calculation, industrial reserves calculation
Authors: O.B. Kuzmichev (RN-BashNIPIneft LLC, RF, Ufa), R.K. Gazizov (RN-BashNIPIneft LLC, RF, Ufa), S.V. Vlasov (RN-BashNIPIneft LLC, RF, Ufa), M.S. Antonov (RN-BashNIPIneft LLC, RF, Ufa; Ufa State Petroleum Technological University, RF, Ufa)

Many tasks of exploration and development of mineral deposits, solved using modern information technologies, require a unified information system of geological and geophysical data (UIS GGD). At present, the presence of the UIS GGD is becoming a necessary condition for creating a geological model of the deposit. Such a system is impossible without the development of a unified database of geological, geophysical and field data, including both geological and geophysical data with a management system, as well as algorithms (programs) for evaluating data quality and data mining. Data mining algorithms for their evaluation and automatic interpretation involve working with multidisciplinary knowledge and are based on a wide range of methods of modern applied mathematics and theoretical physics. The methodology of developing a UIS GGD and their intelligent automated interpretation should combine integrated, systemic and multidisciplinary approaches. With a multidisciplinary approach, it is assumed that the information obtained using complex and systematic approaches is not only summarized in the form of new additional information, but also influences the sources of information themselves. With a multidisciplinary approach, both the total information received from various sources and the information received by each individual source as a result of the feedback between the total useful information about the oil (gas) deposit and the information received by individual sources should acquire new qualities. The work of the UIS GGD involves the use of an interactive multi-user mode with an approved regulation of user priorities. At the same time, the multi-user mode assumes the possibility of creating many versions of data and the availability of regulations for approving one of them as a working one.

References

1. Kozyar V.F., Afanas’ev V.S., Borodin Zh.P. et al., Sistema avtomatizirovannoy obrabotki dannykh GIS pri razvedochnom burenii na neft’ i gaz “Podschet” (System for automated processing of data from geophysical surveys of wells during exploratory drilling for oil and gas “Podschet”), Collected papers “Avtomatizirovannaya obrabotka dannykh geofizicheskikh i geologo-tekhnologicheskikh issledovaniy neftegazorazvedochnykh skvazhin i podschet zapasov nefti i gaza s primeneniem EVM” (Automated processing of data from geophysical and geological-technological studies of oil and gas exploration wells and calculation of oil and gas reserves using a computer), Moscow: Publ. of Mingeo SSSR, Soyuzpromgeofizika, 1989, pp. 18 - 26.

2. Sokhranov N.N., Aksel’rod S.M., Obrabotka i interpretatsiya s pomoshch’yu EVM rezul’tatov geofizicheskikh issledovaniy neftyanykh i gazovykh skvazhin (Processing and interpretation of geophysical survey results of oil and gas wells using a computer), Moscow: Nedra Publ., 1984, 255 p.

3. Ellanskiy M.M., Kholin A.I., Zverev G.N., Petrov A.P., Matematicheskie metody v gazoneftyanoy geologii i geofizike (Mathematical methods in gas-oil geology and geophysics), Moscow: Nedra Publ., 1972, 208 p.

4. Shein Yu.L., Pantyukhin V.A., Kuz’michev O.B., Algoritmy modelirovaniya pokazaniy zondov BKZ, BK, IK v plastakh s zonoy proniknoveniya (Algorithms for modeling probe readings, lateral logging and induction logging in formations with a penetration zone), Collected papers “Avtomatizirovannaya obrabotka dannykh geofizicheskikh i geologo-tekhnologicheskikh issledovaniy neftegazorazvedochnykh skvazhin i podschet zapasov nefti i gaza s primeneniem EVM” (Automated processing of data from geophysical and geological-technological studies of oil and gas exploration wells and calculation of oil and gas reserves using a computer), Moscow: Publ. of Mingeo SSSR, Soyuzpromgeofizika, 1989, pp. 75-81.

5. Guberman Sh.A., Izvekova M.L., Kholin A.I., Using a pattern recognition algorithm to solve field geophysics problems (In Russ.), Doklady AN SSSR, 1964, V. 154, no. 5, pp. 1082-1083.

6. Zverev G.N., Dembitskiy S.I., Otsenka effektivnosti geofizicheskikh issledovaniy skvazhin (Evaluating the effectiveness of geophysical well surveys), Moscow: Nedra Publ., 1982, 223 p.

7. Latyshova M.G., D’yakonova T.F., Tsirul’nikov V.P., Dostovernost’ geofizicheskoy i geologicheskoy informatsii pri podschete zapasov nefti i gaza (Reliability of geophysical and geological information when calculating oil and gas reserves), Moscow: Nedra Publ., 1986, 121 p.

8. Samarskiy A.A., Mikhaylov A.P., Matematicheskoe modelirovanie: Idei. Metody. Primery (Mathematical modelling: Ideas. Methods. Examples), Moscow: Fizmatlit Publ., 2001, 320 p.

9. Pel’megov R.V., Kudelin A.G., Heuristic methods and technologies of automated quality control of well logging (In Russ.), Geoinformatika, 2014, no. 2, pp. 35-43.

10. Johnson N.L., Leone F.C., Statistics and experimental design in engineering and the physical sciences, Wiley, 1977, 1090 p.

11. Kheyfets L.I., Neymark A.V., Mnogofaznye protsessy v poristykh sredakh (Multiphase processes in porous media), Moscow: Khimiya Publ., 1982, 320 p.

12. Nesterov S.A., Bazy dannykh. Intellektual’nyy analiz dannykh (Database. Data Mining), St. Petersburg: Publ. of SPbPU, 2011, 272 p.

13. Burikova T.V., Savel’eva E.N., Khusainova A.M. et al., Lithological and petrophysical characterization of Middle Carboniferous carbonates (a case study from north-western oil fields of Bashkortostan) (In Russ.), Neftyanoe khozyaystvo = Oil Industry, 2017, no. 10, pp. 18–21, DOI: https://doi.org/10.24887/0028-2448-2017-10-18-21

14. Cosentino L., Integrated reservoir studies, Paris: TECHNIP ed., 2001, 400 p.

15. Ellanskiy M.M., Povyshenie informativnosti geologo-geofizicheskikh metodov izucheniya zalezhey nefti i gaza pri ikh poiskakh i razvedke (Improving the information content of geological and geophysical methods for studying oil and gas deposits during their search and exploration), Moscow: Tekhnika Publ., 2004, 112 p.



Attention!
To buy the complete text of article (Russian version a format - PDF) or to read the material which is in open access only the authorized visitors of the website can. .