The article considers facies analysis and the application of its results for the typification of rocks of the Tyumen Formation. The aim of the article is to create algorithms for the differentiated interpretation of geophysical studies of well log data of the Tyumen formation based on a detailed study of the core.
Based on core studies, as well as geological, geophysical data and field information on the Tyumen Formation of some deposits in Western Siberia, the main groups of facies were identified, reflecting the hydrodynamic activity of sedimentation conditions: group 1 – high-dynamic conditions, group 2 – transitional conditions, group 3 – low-dynamic conditions.
On the basis of this typification, petrophysical models of the deposits of the Tyumen Formation were created: petrophysical functions were built with differentiation by facies zones, boundary values of petrophysical parameters were obtained to identify reservoirs of different sedimentation conditions, algorithms for differentiated interpretation of well log data were proposed, also based on test results and field geophysical survey, differences in field characteristics for different sedimentation conditions were revealed, linear oil reserves were calculated using a new petrophysical model.
The development and implementation of an integrated approach to the interpretation of well log data, taking into account the conditions of sedimentation, make it possible to increase the reliability of determining the properties of the reservoirs of the Tyumen Formation, and the efficiency of calculating the oil reserves.
Tatyana G. Isakova – Leading Geophysicist, Petroleum Geology Department, Lomonosov Moscow State University
1, Leninskie gory, Moscow, 119234, Russian Federation
Anna S. Persidskaya – Leading Geophysicist, Petroleum Geology Department, Lomonosov Moscow State University
1, Leninskie gory, Moscow, 119234, Russian Federation
Oleg V. Khotylev – PhD (Geology and Mineralogy), Senior geologist, Petroleum Geology Department, Lomonosov Moscow State University
1, Leninskie gory, Moscow, 119234, Russian Federation
Julia A. Kotochkova – PhD student, Petroleum Geology Department, Lomonosov Moscow State University
1, Leninskie gory, Moscow, 119234, Russian Federation
Alena D. Egorova – PhD student, Seismic and Geoacoustic Department, Lomonosov Moscow State University
1, Leninskie gory, Moscow, 119234, Russian Federation
Tatyana F. Dyakonova – DSc (Geology and Mineralogy), Leading Researcher, Petroleum Geology Department, Lomonosov Moscow State University
1, Leninskie gory, Moscow, 119234, Russian Federation
Aleksei S. Mozgovoy – Graduate student, Seismic and Geoacoustic Department, Lomonosov Moscow State University
1, Leninskie gory, Moscow, 119234, Russian Federation
Valeria V. Churkina – PhD student, Petroleum Sedimentology and Marine Geology Department, Lomonosov Moscow State University
1, Leninskie gory, Moscow, 119234, Russian Federation
Sergey V. Kozakov – Head of the Department of Acceptance, Systematization and Storage of Core, Department of Integrated Core Research, Branch of the Lukoil-Engineering OOO in Tyumen – KogalymNIPIneft
143a, Respublika st., Tyumen, 625000, Russian Federation
Natalia V. Kozhevnikova – Head of the Department of Primary Processing and Core Research, Branch of the Lukoil-Engineering OOO in Tyumen – KogalymNIPIneft
143a, Respublika st., Tyumen, 625000, Russian Federation
Ravil Z. Livaev – Head of Petrophysical Modeling Department, Branch of the Lukoil-Engineering OOO in Tyumen – KogalymNIPIneft
143a, Respublika st., Tyumen, 625000, Russian Federation
Vitalii S. Druchin – PhD (Geology and Mineralogy), Deputy Director for Geology, Branch of the Lukoil-Engineering OOO in Tyumen – KogalymNIPIneft
143a, Respublika st., Tyumen, 625000, Russian Federation
Nicolai V. Belov – Head of Hydrocarbon Reserves Department, Lukoil-Zapadnaya Sibir OOO
20, Pribaltiyskaya st., Kogalym, 628486, Russian Federation
Georgii A. Kalmykov – DSc (Geology and Mineralogy), Professor, Petroleum Geology Department, Lomonosov Moscow State University
1, Leninskie gory, Moscow, 119234, Russian Federation