System optimization of non-stationary floods for the purpose of increasing oil recovery

UDK: 622.276.43
DOI: 10.24887/0028-2448-2019-1-44-49
Key words: iltration of multiphase fluids, waterflooding system, fluid selection control, growth model, discriminant analysis
Authors: A.Kh. Shakhverdiev (Sergo Ordzhonikidze Russian State Geological Prospecting University, RF, Moscow)

The actuality of increasing the oil (ORF), gas (GRF), condensate (CRF) recovery factors of liquid and gaseous hydrocarbon field, developed through artificial methods of reservoir pressure maintenance, involving the injection of water or other displacing agents, does not depart from the scientific and technical agenda for the oil and gas industry.

The solution of direct problems of filtration of multiphase fluids through an inhomogeneous porous medium by analytical or numerical methods is faced with the problem of taking into account the instability of the displacement front and, as a result, due to a jump in determining water saturation and parameters that depends on water saturation. The proposed solution to the inverse problem allows implicitly taking into account the instability of the displacement front and predicts the consequences of a natural intermittent change in water saturation and dependent parameters using a discriminant analysis of the growth model. On the basis of the proposed solutions, criteria are formulated that enable timely detection of the consequences of loss of the displacement front stability and targeted adjustment of the waterflood system by forcing or limiting the operating modes of production and injection wells in accordance with established discriminant analysis criteria. The mobilization of the injected water and the regulation of the selection of liquid, more precisely, water and oil, based on the discriminant criterion, allow solving an important practical problem in circumventing difficult to solve direct deterministic problems and methods for solving them. This opens up the possibility of systemic optimization of non-stationary waterflooding and the prospect of enhanced oil recovery from field and the intensification of hydrocarbon production.

References

1. Wuskoff R.D., Votset H.F., The flow of gas liquid mixtures through unconsolidated sands, Physics, 1936, V. 7, pp. 3–25.

2. Leverett M.C., Lewis W.B., Steady flow of gas-oil-water mixtures through unconsolidated sands, SPE 941107-G, 1941.

3. Buckley I., Leverett M.S., Mechanism of fluid displacement in sands, SPE 942107-G, 1942.

4. Muskat M., Calculation of initial fluid distribution in oil reservoirs, SPE 949119-G, 1949.

5. Charnyy I.A., Podzemnaya gidrogazodinamika (Underground fluid dynamics), Moscow: Gostoptekhizdat Publ., 1963, 397 p.

6. Kreyg F.F., Razrabotka neftyanykh mestorozhdeniy pri zavodnenii (Applied waterflood field development), Moscow: Nedra Publ., 1974, 191 p.

7. Aziz Kh., Settari A., Petroleum reservoir simulation, Applied Science Publishers, 1979, 476 p.

8. Shakhverdiev A.Kh., Sistemnaya optimizatsiya protsessa razrabotki neftyanykh mestorozhdeniy (System optimization of oil field development process), Moscow: Nedra Publ., 2004, 452 p.

9. Mirzadzhanzade A.Kh., Shakhverdiev A.Kh., Dinamicheskie protsessy v neftegazodobyche: sistemnyy analiz, diagnoz, prognoz (Dynamic processes in the oil and gas production: systems analysis, diagnosis, prognosis), Moscow: Nauka Publ., 1997, 254 p.

10. Mandrik I.E., Panakhov G.M., Shakhverdiev A.Kh., Nauchno-metodicheskie i tekhnologicheskie osnovy optimizatsii protsessa povysheniya nefteotdachi plastov (Scientific and methodological and technological basis for EOR optimization), Moscow: Neftyanoe khozyaystvo Publ., 2010, 288 p.

11. Patent no. 2382877 RF, Oil field development method, Inventors: Shakhverdiev A.Kh., Mandrik I.E., Panakhov G.M., Abbasov E.M., Aliev G.M.

12. Shakhverdiev A.Kh., Once again about oil recovery factor (In Russ.), Neftyanoe khozyaystvo = Oil Industry, 2014, no. 1, pp. 44–48.

13. Arnol'd V.I., Teoriya katastrof (Catastrophe theory), Moscow: Nauka Publ., 1990, 128 p.

14. Thompson J.M.T., Instabilities and catastrophes in science and engineering, Wiley, Chichester, 1982.

15. Nicolis G., Prigogine I., Self-organization in nonequilibrium systems: From dissipative structures to order through fluctuations, Publisher: John Wiley & Sons, 1977, 512 p.

The actuality of increasing the oil (ORF), gas (GRF), condensate (CRF) recovery factors of liquid and gaseous hydrocarbon field, developed through artificial methods of reservoir pressure maintenance, involving the injection of water or other displacing agents, does not depart from the scientific and technical agenda for the oil and gas industry.

The solution of direct problems of filtration of multiphase fluids through an inhomogeneous porous medium by analytical or numerical methods is faced with the problem of taking into account the instability of the displacement front and, as a result, due to a jump in determining water saturation and parameters that depends on water saturation. The proposed solution to the inverse problem allows implicitly taking into account the instability of the displacement front and predicts the consequences of a natural intermittent change in water saturation and dependent parameters using a discriminant analysis of the growth model. On the basis of the proposed solutions, criteria are formulated that enable timely detection of the consequences of loss of the displacement front stability and targeted adjustment of the waterflood system by forcing or limiting the operating modes of production and injection wells in accordance with established discriminant analysis criteria. The mobilization of the injected water and the regulation of the selection of liquid, more precisely, water and oil, based on the discriminant criterion, allow solving an important practical problem in circumventing difficult to solve direct deterministic problems and methods for solving them. This opens up the possibility of systemic optimization of non-stationary waterflooding and the prospect of enhanced oil recovery from field and the intensification of hydrocarbon production.

References

1. Wuskoff R.D., Votset H.F., The flow of gas liquid mixtures through unconsolidated sands, Physics, 1936, V. 7, pp. 3–25.

2. Leverett M.C., Lewis W.B., Steady flow of gas-oil-water mixtures through unconsolidated sands, SPE 941107-G, 1941.

3. Buckley I., Leverett M.S., Mechanism of fluid displacement in sands, SPE 942107-G, 1942.

4. Muskat M., Calculation of initial fluid distribution in oil reservoirs, SPE 949119-G, 1949.

5. Charnyy I.A., Podzemnaya gidrogazodinamika (Underground fluid dynamics), Moscow: Gostoptekhizdat Publ., 1963, 397 p.

6. Kreyg F.F., Razrabotka neftyanykh mestorozhdeniy pri zavodnenii (Applied waterflood field development), Moscow: Nedra Publ., 1974, 191 p.

7. Aziz Kh., Settari A., Petroleum reservoir simulation, Applied Science Publishers, 1979, 476 p.

8. Shakhverdiev A.Kh., Sistemnaya optimizatsiya protsessa razrabotki neftyanykh mestorozhdeniy (System optimization of oil field development process), Moscow: Nedra Publ., 2004, 452 p.

9. Mirzadzhanzade A.Kh., Shakhverdiev A.Kh., Dinamicheskie protsessy v neftegazodobyche: sistemnyy analiz, diagnoz, prognoz (Dynamic processes in the oil and gas production: systems analysis, diagnosis, prognosis), Moscow: Nauka Publ., 1997, 254 p.

10. Mandrik I.E., Panakhov G.M., Shakhverdiev A.Kh., Nauchno-metodicheskie i tekhnologicheskie osnovy optimizatsii protsessa povysheniya nefteotdachi plastov (Scientific and methodological and technological basis for EOR optimization), Moscow: Neftyanoe khozyaystvo Publ., 2010, 288 p.

11. Patent no. 2382877 RF, Oil field development method, Inventors: Shakhverdiev A.Kh., Mandrik I.E., Panakhov G.M., Abbasov E.M., Aliev G.M.

12. Shakhverdiev A.Kh., Once again about oil recovery factor (In Russ.), Neftyanoe khozyaystvo = Oil Industry, 2014, no. 1, pp. 44–48.

13. Arnol'd V.I., Teoriya katastrof (Catastrophe theory), Moscow: Nauka Publ., 1990, 128 p.

14. Thompson J.M.T., Instabilities and catastrophes in science and engineering, Wiley, Chichester, 1982.

15. Nicolis G., Prigogine I., Self-organization in nonequilibrium systems: From dissipative structures to order through fluctuations, Publisher: John Wiley & Sons, 1977, 512 p.



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