Accounting for productive deposits heterogeneity in geological modeliling in order to improve an efficiency of water-alternated-gas injection

UDK: 553.04
DOI: 10.24887/0028-2448-2021-2-46-49
Key words: porosity, permeability, reservoir, rock, sample, productive deposits, oil, hydrocarbons, water-alternated-gas injection, simulation grid block, geological model, probability
Authors: P.N. Strakhov (RUDN University, RF, Moscow), A.A. Belova (Gubkin University, RF, Moscow), A.A. Markelova (RUDN University, RF, Moscow), E.P. Strakhova (Sergo Ordzhonikidze Russian State Geological Prospecting University, RF, Moscow)

The article is devoted to forecasting heterogeneity of sediment permeability in the process of geological modelling. The correctness of this operation largely determines the effectiveness of water-alternated-gas injection on hydrocarbon deposits. The presence of fractured zones and significant variability of the parameter under modelling within a single cell significantly complicates the design of water and gas exposure. It is proposed to abandon the generally accepted method of predicting the filtration properties of productive deposits based on the empirical dependence of permeability on core porosity. The paper considers the possibility of using probabilistic methods that have been successfully tested in the construction of geological models of gas reservoirs associated with terrigenous deposits of the Yamalo-Nenets autonomous district to evaluate filtration properties. For this purpose, based on the results of laboratory core studies, the empirical dependence of the probability of permeability for each excess of the standard class values (according A.A. Khanin classification) on porosity is calculated. Subsequently we have carried out the adaptation of patterns to the scale of cells of the geological model. For this purpose, the cells were represented as a set of conditional rocks, the size of which is comparable to laboratory samples. Using a random number generator, virtual differences were assigned porosity values with the condition that their average value was equal to the porosity determined from logging. Then, for each conditional sample, the probability of exceeding the standard values of the corresponding classes was calculated. After averaging the obtained values, the dependences of the probabilities of the existence of certain groups of reservoirs are calculated. This allows to calculate the permeability histograms for each cell of the geological model.


1. Shkandratov V.V., Dem'yaninko N.A., Astaf'ev D.A., Mal'shakov E.N., Generalization of water-gas effect results in Vostochno-Perevalnoe field (In Russ.), Geologiya, geofizika i razrabotka neftyanykh i gazovykh mestorozhdeniy, 2017, no. 9, pp. 77–85.

2. Sentsov A.Yu., Ryabov I.V., Ankudinov A.A. et al., Analysis of the flooding system with application of statistical data processing methods (In Russ.), Neftepromyslovoe delo, 2020, no. 8, pp. 5–9.

3. Spirina E.A., Rabtsevich S.A., Mulyukov D.R., Kolonskikh A.V., Express method for determining development system parameters taking into account geological heterogeneity (In Russ.), Neftyanoe khozyaystvo = Oil Industry, 2020, no. 3, pp. 54–57.

4. Larue D.K., Allen J.P., Beeson D., Fluvial architecture and four-dimensional saturation modeling of a steam flood: Kern River field, California, AAPG Bull., 2020, V. 104, no. 4, pp. 1167-1196, DOI: 10.1306/12031919080.

5. Mikhaylov N.N. Tumanova E.S., Zaytsev M.V., Power law of filtration and its consequences for low-permeable reservoirs (In Russ.), Neftyanoe khozyaystvo = Oil Industry, 2020, no. 4, pp. 34–37.

6. Bogdanov O.A., Allocation of reservoirs with little change in the nature of saturation of productive deposits in the process of developing gas deposits (In Russ.), Nauka i tekhnika v gazovoy promyshlennosti, 2016, no. 3, pp. 40–45.

7. Bogdanov O.A., Strakhov P.N., Assessment of filtration properties of terrigenous sediments of the Cenomanian stage of the northern part of Western Siberia in the construction of geological models of hydrocarbon deposits (In Russ.), Nauka i tekhnika v gazovoy promyshlennosti, 2017, no. 1, pp. 3–8.

8. Strakhov P.N., Koloskov V.N., Bogdanov O.A., Sapozhnikov A.B., Issledovanie neodnorodnostey neftegazonosnykh otlozheniy (Investigation of heterogeneity of oil and gas deposits), Moscow: Publ. of Gubkin University, 2018, 189 p.

9. Le Blévec T., Dubrule O., Cédric M.J., J. Hampson G., Geostatistical Earth modeling of cyclic depositional facies and diagenesis, AAPG Bull., 2020, V. 104, no. 3, pp. 711–734, DOI: 10.1306/05091918122.

10. Ates H. et al., Ranking and upscaling of geostatistical reservoir models using streamline simulation: A field case study, SPE-81497-MS, 2003,

11. Salmachi A., Dunlop E., Rajabi M. et al., Investigation of permeability change in ultradeep coal seams using time-lapse pressure transient analysis: A pilot project in the Cooper Basin, Australia, AAPG Bull., 2019, V. 103, pp. 91–107, DOI: 10.1306/05111817277.

12. Sapozhnikov A.B., The need to update the principles of staging exploration to optimize the identification and development of hydrocarbon accumulations (In Russ.), Nedropol'zovanie XXI vek, 2019, no. 3 (79), pp. 20–24.

13.  Drozdov A.N., Drozdov N.A., Bunkin N.F., Kozlov V.A., Study of suppression of gas bubbles coalescence in the liquid for use in technologies of oil production and associated gas utilization, SPE-187741-MS, 2017.

To buy the complete text of article (Russian version a format - PDF) or to read the material which is in open access only the authorized visitors of the website can. .