Application of well testing data to forecast the productivity of water intake well in the northern part of the Shaimsky oil and gas producing area
https://doi.org/10.31660/0445-0108-2022-4-41-56
Abstract
The search for the most watered intervals in the section of the Kurtamysh horizon is an urgent task for providing the population with drinking water. Well testing data were used for this purpose. The methodology of the work included interpretation of gamma logging curves, normalization of samples obtained under various measurement conditions. The boundary values of the double difference parameter of natural radioactivity are determined. The possibility of using this method to characterize the filtration properties of rocks is evaluated. Statistical processing of data on the operation of water intake wells was carried out. The closest correlations have been established for the flow rate and specific flow rate of wells with a double difference parameter of natural radioactivity. According to the interpretation of the curves of the gamma logging of wells, forecast maps of the most promising intervals of the captage of water intake wells are constructed. The results of the study have methodological and applied significance, and can be used in the design of groundwater intakes.
About the Authors
Yu. O. RusakovaRussian Federation
Yulia O. Rusakova, Leading Engi-neer, Ecohydro-geology Laboratory
Tyumen
A. G. Plavnik
Russian Federation
Andrey G. Plavnik, Doctor of En-gineering, Professor, Director, Head of the Labora-tory of Geological Modeling
Tyumen
L. A. Kovyatkina
Russian Federation
Lyubov A. Kovyatkina, Senior Lecturer at the Department of Geology of Oil and Gas Fields
Tyumen
References
1. Latyshova, M. G., Vendel'shteyn, B. Yu., & Tuzov, V. P. (1990). Obrabotka i interpretatsiya materialov geofizicheskikh issledovaniy skvazhin. 2nd edition, revised and expanded. Mosсow, Nedra Publ., 312 p. (In Russian).
2. Merkulov, V. P. (2016). Geofizicheskie issledovaniya skvazhin. Tomsk, Tomsk Polytechnic University Publ., 146 p. (In Russian).
3. Burkov, F. A., Isaev, V. I., & Lobova, G. A. (2017). Geofizicheskie issledovaniya skvazhin. 2nd edition, revised. Tomsk, Tomsk Polytechnic University Publ., 110 p. (In Russian).
4. Aulova, D. Yu., Zhukov, V. S., Motorygin, V. V., Nurmatov, Sh. Sh., Pleshkov, I. V., & Tolstikov, A. V. (2015). Otsenka vliyaniya glinistosti na fil'tratsionno-emkostnye svoystva kollektora. Gas Industry, (4(721)), рp. 29-32. (In Russian).
5. Latyshova, M. G., Martynov, V. G., & Sokolova, M. G. (2007). Prakticheskoe rukovodstvo po interpretatsii dannykh GIS. Mosсow, Nedra-Biznestsentr Publ., 327 p. (In Russian).
6. Koskov, V. N. (2017). Determination of lithologic belonging and reservoir properties of clastic formations using field geophysical survey data of Baklanovskoe field. Bulletin of PNRPU. Geology. Oil & Gas Engineering & Mining, 16(1), pp. 4-13. (In English).
7. Dubrule, O. (1998). Geostatistics in petroleum geology. Tulsa, Oklahoma (U.S.A.), the American Association of Petroleum Geologists, 256 p. (In English).
8. Koskov, B. V., & Koskov, V. N. (2007). Geofizicheskie issledovaniya skvazhin i interpretatsiya dannykh GIS. Perm, Perm State Technic University Publ., 316 p. (In Russian).
9. Gorbachev, Yu. I. (1990). Geofizicheskie issledovaniya skvazhin. Moscow, Nedra Publ., 398 p. (In Russian).
10. Rider, M. (2006). The geological interpretation of well logs. 2nd edition. Scotland, Rider-French Consulting Ltd., 281 p. (In English).
11. Plavnik, A. G., Sidorov, A. N., Sidorov, A. A., & Toropov, E. S. (2021). Geokartirovanie na osnove splayn-approksimatsionnogo podkhoda. Tyumen, Industrial University of Tyumen Publ., 189 p. (In Russian).
12. Vukolov, E. A. (2008). Osnovy statisticheskogo analiza. Praktikum po statisticheskim metodam i issledovaniyu operatsiy s ispol'zovaniem paketov STATISTICA i EXCEL. Moscow, Forum Publ., 464 p. (In Russian).
13. Porotov, G. S. (2006). Matematicheskie metody modelirovaniya v geologii. St. Petersburg, 223 p. (In Russian).
14. Gubin, V. I., & Ostashkov, V. N. (2006). Statisticheskie metody resheniya inzhenernykh zadach. Tyumen, Vektor Buk Publ., 195 p. (In Russian).
15. Deutsch, C. V. (2002). Geostatistical Reservoir Modeling. Oxford, Oxford University Press, 376 p. (In English).
16. Belkina, V. A., Antipin, Ya. O., & Zaboeva, A. A. (2021). Building threedimensional models of oil saturation. Main problems and approaches to their solution. Bulletin of the Tomsk Polytechnic University. Geo Аssets Engineering, 332(9), pp. 223-237. (In Russian). DOI: 10.18799/24131830/2021/9/3371
17. Mallet, J.-L. (2002). Geomodeling. Oxford, Oxford University Press, 624 p. (In English).
18. Davis, J. C. (2002). Statistics and Data Analysis in Geology. 3rd edition. Wiley, 656 p. (In English).
Review
For citations:
Rusakova Yu.O., Plavnik A.G., Kovyatkina L.A. Application of well testing data to forecast the productivity of water intake well in the northern part of the Shaimsky oil and gas producing area. Oil and Gas Studies. 2022;(4):41-56. (In Russ.) https://doi.org/10.31660/0445-0108-2022-4-41-56