Necessity to use novae criteria for prediction of oil fields and gas occurrence in the Perm region

UDK: 553.98 (470.53)
DOI: 10.24887/0028-2448-2018-5-40-43
Key words: oil-and-gas content, low-sized structure, seismic exploration, trend analysis
Authors: I.S. Putilov (PermNIPIneft Branch of LUKOIL Engineering LLC in Perm, RF, Perm), V.I. Galkin (Perm National Research Polytechnic University, RF, Perm), E.V. Pyatunina (LUKOUIL-PERM LLC, RF, Perm)

To date, in regions with a high degree of exploration maturity, the issue of prospecting and exploration of hydrocarbon deposits is relevant with a more detailed account of the accumulated data. In the context of increasing search for the oil and gas field on the territory of the Perm region, the creation of more advanced models for forecasting the oil and gas potential of local small-size structures is gaining more and more economic importance. The territories have accumulated a certain amount of actual material on local structures both containing hydrocarbon deposits, and on those structures where exploratory drilling is carried out, but hydrocarbon deposits are not open. This statistical material develops a forecasting methodology for oil and gas bearing by constructing probabilistic statistical models not only according to the traditional criteria for forecasting oil and gas, but also on new criteria. In the opinion of the authors, with the use of additional characteristics that take into account the significant complexity of the structure of oil and gas traps, it is possible to solve the forecast problem of oil and gas content more correctly. With the help of the analysis of indicators, those that actually form the oil and gas potential of the structures will be quantified. Based on the results of calculations, probabilistic complex models of oil and gas potential prospects of productive deposits of the Perm Territory will be constructed. With their help, one can assess the prospects of oil and gas content of prepared and identified small-sized uplifts. Note that according to these models, it is possible to rank the prepared and identified structures in terms of the degree of oil and gas potential. Thus, the completed evaluation of the fund of local structures allows to rank the structures according to the degree of their prospects, to single out the priority objects under deep drilling, which will increase the geological and economic efficiency of deep oil exploration drilling.

References

1. Putilov I.S., Galkin V.I., Developing the technology for probabilistic and statistical forecast of oil-and-gas-bearing capacity of the South Perm Region (In Russ.), Neftyanoe khozyaystvo = Oil Industry, 2014, no. 4, pp. 26–29.

2. Galkin V.I., Rastegaev A.V., Galkin S.V., Veroyatnostno-statisticheskaya otsenka neftegazonosnosti lokal'nykh struktur (Probabilistic and statistical evaluation of oil and gas potential of local structures), Ekaterinburg: Publ. of UB of RAS, 2001, 277 p.

3. Galkin V.I., Rastegaev A.V., Galkin S.V., Voevodkin V.L., Determination of potentially oil bearing areas by behavioristical method by the example of Perm Region (Krai) (In Russ.), Nauka Proizvodstvu, 2006, no. 1, pp. 1–5.

4. Galkin V.I., Krivoshchekov S.N., Substantiation of the directions of prospecting oil and gas fields in the Perm Krai (In Russ.), Nauchnye issledovaniya i innovatsii, 2009, V. 3, no. 4, pp. 3–7.

5. Putilov I.S., Galkin V.I., The results of statistical analysis for study fades characterization of T-Fm stage of Sibirskoe oilfield (In Russ.), Neftyanoe khozyaystvo = Oil Industry, 2007, no. 9, pp. 112–114.

6. Krivoshchekov S.N., Galkin V.I., Kozlova I.A.,  Determination of potentially oil bearing areas by behavioristical method by the example of Perm Region (Krai) (In Russ.), Vestnik Permskogo natsional'nogo issledovatel'skogo politekhnicheskogo universiteta. Geologiya. Neftegazovoe i gornoe delo = Perm Journal of Petroleum and Mining Engineering, 2012, no. 4, pp. 7–14.

7. Melkishev O.A., Krivoshchekov S.N., Stochastic evaluation of oil resources forecast on the stage of geological exploration work (In Russ.), Vestnik Permskogo natsional'nogo issledovatel'skogo politekhnicheskogo universiteta. Geologiya. Neftegazovoe i gornoe delo = Perm Journal of Petroleum and Mining Engineering, 2012, no. 4, pp. 33–40.

8. Putilov I.S., Technological innovation for polivariation collector prognostication on the basis 3D seismic exploration (In Russ.), Neftyanoe khozyaystvo = Oil Industry,  2014, no. 3, pp. 50–53. вЃ  

To date, in regions with a high degree of exploration maturity, the issue of prospecting and exploration of hydrocarbon deposits is relevant with a more detailed account of the accumulated data. In the context of increasing search for the oil and gas field on the territory of the Perm region, the creation of more advanced models for forecasting the oil and gas potential of local small-size structures is gaining more and more economic importance. The territories have accumulated a certain amount of actual material on local structures both containing hydrocarbon deposits, and on those structures where exploratory drilling is carried out, but hydrocarbon deposits are not open. This statistical material develops a forecasting methodology for oil and gas bearing by constructing probabilistic statistical models not only according to the traditional criteria for forecasting oil and gas, but also on new criteria. In the opinion of the authors, with the use of additional characteristics that take into account the significant complexity of the structure of oil and gas traps, it is possible to solve the forecast problem of oil and gas content more correctly. With the help of the analysis of indicators, those that actually form the oil and gas potential of the structures will be quantified. Based on the results of calculations, probabilistic complex models of oil and gas potential prospects of productive deposits of the Perm Territory will be constructed. With their help, one can assess the prospects of oil and gas content of prepared and identified small-sized uplifts. Note that according to these models, it is possible to rank the prepared and identified structures in terms of the degree of oil and gas potential. Thus, the completed evaluation of the fund of local structures allows to rank the structures according to the degree of their prospects, to single out the priority objects under deep drilling, which will increase the geological and economic efficiency of deep oil exploration drilling.

References

1. Putilov I.S., Galkin V.I., Developing the technology for probabilistic and statistical forecast of oil-and-gas-bearing capacity of the South Perm Region (In Russ.), Neftyanoe khozyaystvo = Oil Industry, 2014, no. 4, pp. 26–29.

2. Galkin V.I., Rastegaev A.V., Galkin S.V., Veroyatnostno-statisticheskaya otsenka neftegazonosnosti lokal'nykh struktur (Probabilistic and statistical evaluation of oil and gas potential of local structures), Ekaterinburg: Publ. of UB of RAS, 2001, 277 p.

3. Galkin V.I., Rastegaev A.V., Galkin S.V., Voevodkin V.L., Determination of potentially oil bearing areas by behavioristical method by the example of Perm Region (Krai) (In Russ.), Nauka Proizvodstvu, 2006, no. 1, pp. 1–5.

4. Galkin V.I., Krivoshchekov S.N., Substantiation of the directions of prospecting oil and gas fields in the Perm Krai (In Russ.), Nauchnye issledovaniya i innovatsii, 2009, V. 3, no. 4, pp. 3–7.

5. Putilov I.S., Galkin V.I., The results of statistical analysis for study fades characterization of T-Fm stage of Sibirskoe oilfield (In Russ.), Neftyanoe khozyaystvo = Oil Industry, 2007, no. 9, pp. 112–114.

6. Krivoshchekov S.N., Galkin V.I., Kozlova I.A.,  Determination of potentially oil bearing areas by behavioristical method by the example of Perm Region (Krai) (In Russ.), Vestnik Permskogo natsional'nogo issledovatel'skogo politekhnicheskogo universiteta. Geologiya. Neftegazovoe i gornoe delo = Perm Journal of Petroleum and Mining Engineering, 2012, no. 4, pp. 7–14.

7. Melkishev O.A., Krivoshchekov S.N., Stochastic evaluation of oil resources forecast on the stage of geological exploration work (In Russ.), Vestnik Permskogo natsional'nogo issledovatel'skogo politekhnicheskogo universiteta. Geologiya. Neftegazovoe i gornoe delo = Perm Journal of Petroleum and Mining Engineering, 2012, no. 4, pp. 33–40.

8. Putilov I.S., Technological innovation for polivariation collector prognostication on the basis 3D seismic exploration (In Russ.), Neftyanoe khozyaystvo = Oil Industry,  2014, no. 3, pp. 50–53. вЃ  



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