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Identification of zones with poor displacement in fields with hard-to-recover reserves

Authors: I.F. Khatmullin, E.I. Khatmullina, A.T. Khamitov (Ufa SciTechCenter LLC, RF, Ufa), R.A. Gimaletdinov, S.E. Mezikov (Gazpromneft – Noyabrskneftegas JSC, RF, Noyabrsk)

Key words: well stimulation planning, fuzzy logic, membership function maps.

The paper describes the automated technique for identification of under recovered zones with high production potential, if proper field management activities were provided (e.g. sidetracking operations). Presented method is based on the fuzzy description of the current recovery distribution incorporating different decision making criteria to elaborate better field management strategies. For this end fuzzy-criteria based procedure is developed to provide the determination of most perspective zones with high movable residuals, but poor recovery. The practical aspects of the technique application are discussed using the actual results of sidetracking planning.

References
1. Khasanov M.M., Mukhamedshin R.K., Khatmullin I.F., Computer technology for solutions the multicriteria problems of monitoring the oil fields development (In Russ.), Vestnik inzhiniringovogo tsentra YuKOS, 2001, no. 2, pp. 26–29.
2. Usmanov T.S., Khatmullin I.F., Mukhamedshin R.K. et al., Decrease of risks at performance of repair - insulating works (In Russ.), Neftyanoe khozyaystvo = Oil Industry, 2004, no. 8, pp. 86-89.
3. Mukhamedshin R.K., Khatmullin I.F., Sveshnikov A.V. et al., Analysis of inactive fund with use of adaptive models of oil pools (In Russ.), Neftyanoe
khozyaystvo = Oil Industry, 2005, no. 10, pp. 60–63.
4. Zoveidavianpoor M., Samsuri A., Shadizadeh S.R., Development of a fuzzy
system model for candidate-well selection for hydraulic fracturing in a carbonate reservoir, SPE Oil and Gas India Conference and Exhibition, 28–30
March 2012, Mumbai, India.
5. Dinghong Cao, Yuwei Ni, Fei Yao et al., Application and realization of fuzzy method for selecting wells and formations in fracturing in Putaohua oilfield: production and operations: diagnostics and evaluation, SPE Technical Symposium of Saudi Arabia Section, 21–23 May 2006, Dhahran, Saudi Arabia.
6. Zadeh L.A., The concept of a linguistic variable and its application to approximate reasoning. Information Sciences, 1975-1976.
7. Altunin A.E., Semukhin M.V., Modeli i algoritmy prinyatiya resheniy v
nechetkikh usloviyakh (Models and algorithms for decision making in fuzzy
conditions), Tyumen': Publ. of TSU, 2000, 352 p.
8. Mirzadzhanzade A.Kh., Khasanov M.M., Bakhtizin R.N., Modelirovanie protsessov
neftegazodobychi (Modeling of processes oil and gas extraction),
Moscow, 2004, 368 p.
9. Khasanov M.M., Khatmullin I.F., Galeev R.M. et al., Adaptive control methods of development of reserves (In Russ.), Neftepromyslovoe delo, 1998, no. 6, pp. 7–9.
10. Kostrigin I.V., Khatmullin I.F., Khatmullina E.I., Zagurenko T.G., Rapid evaluation of the waterflooded reservoir energy and production potential forecasting (In Russ.), Neftyanoe khozyaystvo = Oil Industry, 2009, no. 11, pp. 39–41.
11. Khasanov M.M., Kostrigin I.V., Khatmullin I.F., Khatmullina E.I., The accounting of data on carrying out of operating repairs in wells for an estimation of a energy state of a layer (In Russ.), Neftyanoe khozyaystvo = Oil Industry, 2009, no. 9, pp. 52–55.
12. Kostrigin I.V., Khatmullin I.F., Khatmullina E.I., Adaptive control technology of water flooding (In Russ.), SPE 138055-RU. 

Key words: well stimulation planning, fuzzy logic, membership function maps.

The paper describes the automated technique for identification of under recovered zones with high production potential, if proper field management activities were provided (e.g. sidetracking operations). Presented method is based on the fuzzy description of the current recovery distribution incorporating different decision making criteria to elaborate better field management strategies. For this end fuzzy-criteria based procedure is developed to provide the determination of most perspective zones with high movable residuals, but poor recovery. The practical aspects of the technique application are discussed using the actual results of sidetracking planning.

References
1. Khasanov M.M., Mukhamedshin R.K., Khatmullin I.F., Computer technology for solutions the multicriteria problems of monitoring the oil fields development (In Russ.), Vestnik inzhiniringovogo tsentra YuKOS, 2001, no. 2, pp. 26–29.
2. Usmanov T.S., Khatmullin I.F., Mukhamedshin R.K. et al., Decrease of risks at performance of repair - insulating works (In Russ.), Neftyanoe khozyaystvo = Oil Industry, 2004, no. 8, pp. 86-89.
3. Mukhamedshin R.K., Khatmullin I.F., Sveshnikov A.V. et al., Analysis of inactive fund with use of adaptive models of oil pools (In Russ.), Neftyanoe
khozyaystvo = Oil Industry, 2005, no. 10, pp. 60–63.
4. Zoveidavianpoor M., Samsuri A., Shadizadeh S.R., Development of a fuzzy
system model for candidate-well selection for hydraulic fracturing in a carbonate reservoir, SPE Oil and Gas India Conference and Exhibition, 28–30
March 2012, Mumbai, India.
5. Dinghong Cao, Yuwei Ni, Fei Yao et al., Application and realization of fuzzy method for selecting wells and formations in fracturing in Putaohua oilfield: production and operations: diagnostics and evaluation, SPE Technical Symposium of Saudi Arabia Section, 21–23 May 2006, Dhahran, Saudi Arabia.
6. Zadeh L.A., The concept of a linguistic variable and its application to approximate reasoning. Information Sciences, 1975-1976.
7. Altunin A.E., Semukhin M.V., Modeli i algoritmy prinyatiya resheniy v
nechetkikh usloviyakh (Models and algorithms for decision making in fuzzy
conditions), Tyumen': Publ. of TSU, 2000, 352 p.
8. Mirzadzhanzade A.Kh., Khasanov M.M., Bakhtizin R.N., Modelirovanie protsessov
neftegazodobychi (Modeling of processes oil and gas extraction),
Moscow, 2004, 368 p.
9. Khasanov M.M., Khatmullin I.F., Galeev R.M. et al., Adaptive control methods of development of reserves (In Russ.), Neftepromyslovoe delo, 1998, no. 6, pp. 7–9.
10. Kostrigin I.V., Khatmullin I.F., Khatmullina E.I., Zagurenko T.G., Rapid evaluation of the waterflooded reservoir energy and production potential forecasting (In Russ.), Neftyanoe khozyaystvo = Oil Industry, 2009, no. 11, pp. 39–41.
11. Khasanov M.M., Kostrigin I.V., Khatmullin I.F., Khatmullina E.I., The accounting of data on carrying out of operating repairs in wells for an estimation of a energy state of a layer (In Russ.), Neftyanoe khozyaystvo = Oil Industry, 2009, no. 9, pp. 52–55.
12. Kostrigin I.V., Khatmullin I.F., Khatmullina E.I., Adaptive control technology of water flooding (In Russ.), SPE 138055-RU. 


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