Логин:
Пароль:
Регистрация
Забыли свой пароль?

Approach to oil production planning under geological uncertainty conditions

Authors: E.V. Yudin, A.A. Lubnin (RN-Yuganskneftegaz LLC, RF, Nefteyugansk), A.V. Timonov, R.A. Malakhov, V.A. Krasnov (Rosneft Oil Company OJSC, RF, Moscow)

Key words: production planning, geological uncertainty, stochastic methods.

In this paper the approach to planning of oil production levels based on geological uncertainty is proposed. Method proposed takes into account production risks through the multivariate calculations application by numerical and semi-analytical reservoir models as the main stages of the planning workflow. By using this approach one can quickly calculate the possible technological and economic characteristics of the development project.

References

1. Kolmogorov A.N., Zhurbenko I.G., Prokhorov A.V., Vvedenie v teoriyu veroyatnostey (Introduction to the Theory of probabilities), Moscow: Nauka Publ., 1982, 160 p.

2. Instruktsii po otsenke perspektivnykh ploshchadey pri pomoshchi paketa GeoX (Instructions for assessment of prospects using the package GeoX), Oslo, June 2010.

3. Kuznetsov M.A., Sevast'yanova K.K., Nekhaev S.A., Neftyanoe khozyaystvo – Oil Industry, 2011, no. 6, pp. 2-6.

4. Krasnov V.A., Sudeev I.V., Yudin E.V., Lubnin A.A., Nauchno-tekhnicheskiy Vestnik OAO Rosneft', 2010, no. 1, pp. 2-6.

5. Krasnov V.A., Yudin E.V., Lubnin A.A., Nauchno-tekhnicheskiy Vestnik OAO Rosneft', 2010, no. 2, pp. 2-6.

6. Metropolis N., Ulam S., The Monte Carlo method, J. Amer. Statistical assoc. 1949 44, no. 247 335, pp. 341.

7. Prod'yakonov M.M., Teder R.I., Metodika ratsional'nogo planirovaniya eksperimentov (The method of rational design of experiments), Moscow: Nauka Publ., 1970, 93 p.

Key words: production planning, geological uncertainty, stochastic methods.

In this paper the approach to planning of oil production levels based on geological uncertainty is proposed. Method proposed takes into account production risks through the multivariate calculations application by numerical and semi-analytical reservoir models as the main stages of the planning workflow. By using this approach one can quickly calculate the possible technological and economic characteristics of the development project.

References

1. Kolmogorov A.N., Zhurbenko I.G., Prokhorov A.V., Vvedenie v teoriyu veroyatnostey (Introduction to the Theory of probabilities), Moscow: Nauka Publ., 1982, 160 p.

2. Instruktsii po otsenke perspektivnykh ploshchadey pri pomoshchi paketa GeoX (Instructions for assessment of prospects using the package GeoX), Oslo, June 2010.

3. Kuznetsov M.A., Sevast'yanova K.K., Nekhaev S.A., Neftyanoe khozyaystvo – Oil Industry, 2011, no. 6, pp. 2-6.

4. Krasnov V.A., Sudeev I.V., Yudin E.V., Lubnin A.A., Nauchno-tekhnicheskiy Vestnik OAO Rosneft', 2010, no. 1, pp. 2-6.

5. Krasnov V.A., Yudin E.V., Lubnin A.A., Nauchno-tekhnicheskiy Vestnik OAO Rosneft', 2010, no. 2, pp. 2-6.

6. Metropolis N., Ulam S., The Monte Carlo method, J. Amer. Statistical assoc. 1949 44, no. 247 335, pp. 341.

7. Prod'yakonov M.M., Teder R.I., Metodika ratsional'nogo planirovaniya eksperimentov (The method of rational design of experiments), Moscow: Nauka Publ., 1970, 93 p.


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

Mobile applications

Read our magazine on mobile devices

Загрузить в Google play

Press Releases

26.11.2019
13.11.2019
08.11.2019