Perm Journal of Petroleum and Mining Engineering

Issue	Title
Vol 20, No 2 (2020)	LABORATORY STUDIES OF THE INFLUENCE OF RHEOLOGICAL CHARACTERISTICS OF CROSS-LINKED POLYMER SYSTEMS ON OIL PERMEABILITY AND DISPLACEMENT COEFFICIENTS	Abstract (Rus) (Eng)
Ogoreltcev V.I., Leontev S.A., Korotenko V.A., Grachev S.I., Diagilev V.F., Fominykh O.V.
Vol 20, No 2 (2020)	ANALYSIS OF THE INTERNATIONAL PRACTICE IN APPLICATION OF CONFORMANCE CONTROL TECHNOLOGIES BASED ON CROSS-LINKED POLYMER GELS	Abstract (Rus) (Eng)
Ketova I.A., Galkin S.V., Votinov A.S., Wanli K., Hongbin Y.
Vol 16, No 4 (2017)	Relevant directions in development of polymer compositions for conditions of operated in Perm Region reservoirs	Abstract (Rus) (Eng)
Ketova Y.A.
Vol 17, No 2 (2018)	THE EFFECT OF WATER-SWELLABLE POLYMER ON WELL DRILLING WITH MUD LOSS	Abstract (Rus) (Eng)
Mariya V.N., Elena Y.R.
Vol 19, No 3 (2019)	ANALYSIS OF THE EFFICIENCY OF WATERFLOODING OF OIL RESERVOIRS USING WATER-SOLUBLE POLYACRYLAMIDE AND PRELIMINARY CROSS-LINKED POLYACRYLAMIDE PARTICLES	Abstract (Rus) (Eng)
Ketova Y.A., Baojun B., Kazantsev A.L., Galkin S.V.
Vol 22, No 3 (2022)	Digital simulation of flow diverting technologies: a review of analytical models for describing the physicochemical properties of cross-linked polymer gels	Abstract (Rus)
Neklesa R.S., Morozyuk O.A.
Vol 20, No 1 (2020)	LABORATORY INVESTIGATION OF POLYMER COMPOSITIONS FOR WELL KILLING IN FRACTURED RESERVOIRS	Abstract (Rus) (Eng)
Bondarenko A.V., Islamov S.R., Ignatyev K.V., Mardashov D.V.
Vol 24, No 1 (2024)	Numerıcal Modellıng of Surfuctant-Polymer Floodıng Combıned wıth Law Salınıty Water Floodıng ın Matlab: Case Study ın Neft Dashları	Abstract (Rus)
Nazaraliyev R.R., Humbatov A.I., Mammadova A.E.
Vol 22, No 4 (2022)	Comprehensive assessment of the predictive effectiveness of measures to limit water inflow with a composition based on cross-linked polymer systems	Abstract (Rus)
Kudryashova D.A., Raspopov A.V.
Vol 22, No 4 (2022)	Studying the efficiency of implementation of enhanced oil recovery technologies based on field data statistical processing	Abstract (Rus)
Chalova P.O., Cherepanov M.S., Belousov N.Y.
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