Abstract
we analyzed data that describe the pore-space structure of a Tournaisian-age carbonate reservoir saturated with high-viscosity oil. We aimed to determine whether a fracture network acts as a flow path inside the pore space and contributes to fluid flow toward the wells. We used well and formation test data, core analysis results, acoustic broadband logs, and hydrodynamic well test data from producing and shut-in wells.
Interpretations from individual methods remained inconclusive about fracture-controlled flow toward the wells. However, core analysis and geophysical logs, including acoustic broadband data, showed no evidence of a fracture network that forms a significant flow component inside the reservoir void space. The absence of detectable fractures may result from their heterogeneous distribution, which is typical for carbonate reservoirs. As a result, acoustic broadband logs may have missed fracture zones inside the studied intervals.
We verified the preliminary conclusion about the limited role of fractures in reservoir flow through local numerical flow simulation. We matched simulated production rates to historical data, including cumulative production for the studied period. The simulation, which used adjusted relative permeability curves from the baseline project document, confirmed the hypothesis that fractures have a minimal influence on fluid flow – a hypothesis based on geological observations and field data.
References
Викторин В. Д. Влияние особенностей карбонатных коллекторов на эффективность разработки нефтяных залежей. М.: Недра; 1988. 150 c.
Gringarten A. C. Interpretation of Tests in Fissured and Multilayered Reservoirs with DoublePorosity Behavior: Theory and Practice. Journal of Petroleum Technology. 1984;36(4):549–564. DOI: 10.2118/10044-PA.
Olivier Houze, Didier Viturat, Ole S. Fjaere et al. Dynamic Data Analysis. V5.60. Kappa Engineering; 2024. 788 p.
Колеватов А. А., Афанаскин И. В., Солопов Д. В., Дяченко А. Г. Реконструкция диаграмм относительных фазовых проницаемостей с целью уточнения гидродинамической модели нефтяного месторождения. Актуальные проблемы нефти и газа. 2018;3:10. DOI: 10.29222/ipng.2078-5712.201822.art10.
Колеватов А. А., Афанаскин И. В., Егоров А. А., Дяченко А. Г., Пономарев А. К., Ялов П. В. Выявление взаимного влияния скважин посредством применения реконструированных диаграмм относительных фазовых проницаемостей. Вестник кибернетики. 2016;3:62–70.
Feigl A. Treatment of Relative Permeabilities for Application in Hydrocarbon Reservoir Simulation Model. NAFTA. 2011;62(7–8):233–243.
Macary S. Technique Predicts Oil Recovery From Waterfloods. Oil & Gas Journal. 1999;97(4):84–90.
Glover P. Formation Evaluation MSc Course Notes: Relative Permeability. Leeds: School of Earth and Environment, University of Leeds; 2013. Режим доступа: https://www.studocu.com/row/document/thebritish-university-in-egypt/reservoir-rock-properties/6-chapter-10-reservoir-rock/3361563.
Lake L., Johns R. T. et al. Fundamentals of Enhanced Oil Recovery. Richardson, TX: Society of Petroleum Engineers; 2014. 489 р. DOI: 10.2118/9781613993286.
Anderson W. G. Wettability Literature Survey Part 5: The Effects of Wettability on Relative Permeability. Journal of Petroleum Technology. 1987;39(11):1453–1468. DOI: 10.2118/16323-PA.
Lian P. Q. The Characteristics of Relative Permeability Curves in Naturally Fractured Carbonate Reservoirs. Journal of Canadian Petroleum Technology. 2012;51(2):137–142. DOI: 10.2118/154814-PA.

