The identity of oil deposits in Western Siberia depending on their stratigraphic confinement

A procedure was carried out for grouping oil deposits in terrigenous reservoirs of the West Siberian petroleum basin using various methods of factor analysis. A physical interpretation of the results obtained from the point of view of the emergence of stratigraphic systems is given. In the absence of a sufficient amount of data on deposits, it is proposed to search for identical objects based on the stratigraphic confinement of development objects. The necessity of using the tectonic confinement of objects to reduce risks during identification and selection of analogous objects is shown.

[1]  Вячеслав Вячеславович Мухаметшин,et al.  О СНИЖЕНИИ УРОВНЯ НЕОПРЕДЕЛЕННОСТИ ПРИ УПРАВЛЕНИИ ЗАВОДНЕНИЕМ ЗАЛЕЖЕЙ С ТРУДНОИЗВЛЕКАЕМЫМИ ЗАПАСАМИ , 2018, Izvestiya Tomskogo Politekhnicheskogo Universiteta Inziniring Georesursov.

[2]  A. P. Chizhov,et al.  Forecasting the use of enhanced oil recovery methods in oilfields of Bashkortostan , 2019, IOP Conference Series: Earth and Environmental Science.

[3]  A. Malyarenko,et al.  Wettability and formation conditions of reservoirs , 2019, IOP Conference Series: Earth and Environmental Science.

[4]  A. P. Chizhov,et al.  Results of system drilling techniques and completion of oil and gas wells , 2019, IOP Conference Series: Earth and Environmental Science.

[5]  Y. Kotenev,et al.  The neural network for grouping wells of different facies zones of productive layer , 2018, IOP Conference Series: Earth and Environmental Science.

[6]  Y. Kotenev,et al.  Energy-efficient technology for recovery of oil reserves with gas injection , 2018, IOP Conference Series: Earth and Environmental Science.

[7]  V. Mukhametshin,et al.  Forecasting the parameters of non-stationary water flooding of oil deposits , 2018, IOP Conference Series: Earth and Environmental Science.

[8]  A. Gimazov,et al.  Analytical method for estimating efficiency of oil recovery technology in case of bottom water-drive reservoir, verified on the hydrodynamic model (Russian) , 2018 .

[9]  L. B. Khuzina.  ON THE CHOICE OF THE OSCILLATORS’ INSTALLATION SITE , 2018 .

[10]  R. T. Akhmetov,et al.  A Quantitative Assessment Method of the Productive Formation Wettability Indicator According to the Data of Geophysical Surveys , 2017 .

[11]  H. Nasr-El-Din,et al.  A Novel Polymer-Assisted Emulsified-Acid System Improves the Efficiency of Carbonate Matrix Acidizing , 2016 .

[12]  V. Alvarado,et al.  Integration of a Risk Management Tool and an Analytical Simulator for Assisted Decision-Making in IOR , 2006 .

[13]  Ryan L. Hartman,et al.  Acid-sensitive aluminosilicates: Dissolution kinetics and fluid selection for matrix-stimulation treatments , 2006 .