Predictive assessment of the fluid loss properties of thin-layer reservoirs of Vikulovskaya series based on the results of core and well logs
https://doi.org/10.18599/grs.2021.2.17
Abstract
The aim of the work is to predict the filtration capacity of reservoirs based on core and well logs data at the stage of petrophysical study of rocks before the start of active development of the object.
All the results were obtained from the data of porometric characteristics of rocks on the example of the vikulovskaya series’s deposits of the Krasnoleninsky arch. The patterns of changes in pore sizes and their contribution to the total filtration depending on the lithophysical type of the rock were established on the core plug. A classification of rocks by pore radii is proposed, and a method for assessing the filtration capacity of reservoirs based on well logs data is developed, with the calculation of the share of each layer in the planned perforation interval.
About the Authors
T. G. Isakova
National Intellectual Development Foundation
Russian Federation
Russian Federation
Tatyana G. Isakova – Expert
27, build. 1, Lomonosovsky ave., Moscow, 119192
T. F. Diakonova
Lomonosov Moscow State University
Russian Federation
Russian Federation
Tatyana F. Diakonova – DSc (Geology and Mineralogy), Leading Researcher, Petroleum Geology Department
1, Leninskie gory, Moscow, 119234
A. D. Nosikova
Lomonosov Moscow State University
Russian Federation
Russian Federation
Alena D. Nosikova – PhD student of the Department of Seismometry and Geoacoustics
1, Leninskie gory, Moscow, 119234
G. A. Kalmykov
Lomonosov Moscow State University
Russian Federation
Russian Federation
Georgy A. Kalmykov – DSc (Geology and Mineralogy), Professor, Petroleum Geology Department
1, Leninskie gory, Moscow, 119234
A. V. Akinshin
Tyumen Oil Research Center LLC
Russian Federation
Russian Federation
Alexander V. Akinshin – PhD (Geology and Mineralogy), Expert in Petrophysics
42, Maxim Gorky str., Tyumen, 625048
V. M. Yatsenko
Rosneft PJSC
Russian Federation
Russian Federation
Vladislav M. Yatsenko – Deputy Head of the Department of Geological and Hydrodynamic Modeling and Expertise
26/1, Sofiyskaya bank., Moscow, 115035
References
1. Amaefule J.O. et al. (1993). Enhanced Reservoir description: using core and log data to identify hydraulic (flow) units and predict permeability in uncored intervals/wells. SPE Annual Technical Conference and Exhibition. SPE 26436. https://doi.org/10.2118/26436-MS
2. Belozerov V.B. (2011). Oil and gas traps, hydrocarbon reservoir modeling. Tomsk: TPU, 143 p. (In Russ.)
3. Chuvilev V.O., Shkirman N.P. (2018). An alternative analysis of the reservoir properties of the productive units of the Chokrak age on the example of the sandy deposit. Bulatov readings, vol. 1, pp. 209–215. (In Russ.)
4. Frolova E.V. (2012). Definition of the hydraulic flow units -the leading purpose for the classification of terrigenous sedimentary reservoirs (according to the example of one oilfield, Western Siberia basin). Bulletin of the Perm National Research Polytechnic University. Geology, oil and gas and mining, 2, pp. 25–31. (In Russ.)
5. Frolova E.V. (2015). An example of a methodology for constructing a geological model of an oil reservoir. Eurasian Union of Scientists, 7(16), pp. 104–107. (In Russ.)
6. Gimatudinov Sh.K. (1971). Physics of oil and gas reservoir. II edition. Moscow: Nedra, 312 p. (In Russ.)
7. Goda H., Behrenbruch P. (2011). A Universal Formulation for the Prediction of Capillary Pressure. SPE Annual Technical Conference and Exhibition. https://doi.org/10.2118/147078-MS
8. Isakova T.G., Diakonova T.F., Nosikova A.D., Savchenko D.S., Korobova N.I., Sautkin R.S., Kalmykov A.G., Kalmykov G.A. (2020). New notions of Vikulovskaya series reservoir model in the area of Krasnoleninskoye field (Western Siberia). Moscow University Bulletin. Series 4. Geology, 3, pp. 66-74. (In Russ.) https://doi.org/10.33623/0579-9406-2020-3-66-74
9. Koshovkin I.N., Belozerov V.B. (2007). Display of heterogeneities of terrigenous reservoirs in the construction of geological models of oil fields. Bulletin of the Tomsk Polytechnic University. Engineering of georesources, 310(2), pp. 26–32. (In Russ.)
10. Wolcott D. (2001). Waterflooding: Design, Performance and Surveillance methods to optimize rate and reserves. Moscow: Yukos, 144 p. (In Russ.)
Review
For citations:
Isakova T.G., Diakonova T.F., Nosikova A.D., Kalmykov G.A., Akinshin A.V., Yatsenko V.M. Predictive assessment of the fluid loss properties of thin-layer reservoirs of Vikulovskaya series based on the results of core and well logs. Georesursy = Georesources. 2021;23(2):170-178. (In Russ.) https://doi.org/10.18599/grs.2021.2.17
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