Tools for kinematic interpretation of seismic data in RN-GEOSIM

UDK: 550.834.052
DOI: 10.24887/0028-2448-2022-1-32-35
Authors: K.E. Zakrevsky (Rosneft Oil Company, RF, Moscow), R.K. Gazizov (RN-BashNIPIneft LLC, RF, Ufa), S.V. Vlasov (RN-BashNIPIneft LLC, RF, Ufa), A.E. Lepilin (RN-BashNIPIneft LLC, RF, Ufa), M.T. Yakupov (RN-BashNIPIneft LLC, RF, Ufa)

The article describes a module for kinematic seismic interpretation, created as a part of corporate software package for 3D geological modeling RN-GEOSIM. The relevance and necessity of combining the processes of kinematic interpretation and geological modeling in a single software package are considered. Such approach allows the arrangement of seismic and geological modeling elements in the form of an inseparable process in which inputs and outputs are combined into a single modeling graph. The features of the implementation of some kinematic interpretation tools as a part of a geological modeling package are described, in particular, data visualization, seismic and well logging data binding, determination of the velocity patterns, automatic and manual tracking of reflecting horizons and faults, performing a time-to-depth transformation for horizons and fault polygons. The main functionality of kinematic seismic interpretation module and description of mathematical algorithms developed by the specialists of Rosneft Oil Company are given. Rosneft’ experts successfully tested seismic kinematic interpretation module using information on several dozen objects of various genesis. It is concluded that the creation of this module made it possible to expand the possibilities of integrating the RN-GEOSIM into the corporate line of software products for modeling oil and gas fields of Rosneft Oil Company and corresponds to modern trends in the reservoir modeling software development.

References

1. Saakyan M.I., Zakrevskiy K.E., Gazizov R.K. et al., The prospects of corporate geological modeling software creation (In Russ.), Neftyanoe khozyaystvo = Oil Industry, 2019, no. 11, pp. 50-54, DOI: 10.24887/0028-2448-2019-11-50-54

2. Baykov V.A., Bochkov A.S., Yakovlev A.A., Accounting of nonhomogeneity in Priobskoye field geological modeling and simulation (In Russ.), Neftyanoe khozyaystvo = Oil Industry, 2011, no. 5, pp. 50–54.

3. Zakrevskiy K.E., Geologicheskoe 3D modelirovanie (3D geological modeling), Moscow: Publ of IPTs Maska, 2009, 376 p.

4. Wu X., Fomel S., Least-squares horizons with local slopes and multigrid correlations, Geophysics, 2018, V. 83(4), pp. IM29–IM40, DOI:10.1190/geo2017-0830.1

5. Khayrullin T.A., Shkuratov A.M., Spele V.V. et al., Aspekty programmnoy realizatsii modulya avtomaticheskoy korrelyatsii otrazhayushchikh gorizontov (Aspects of software implementation of the module for automatic correlation of reflectors), Proceedings of scientific and technical conference “Tsifrovye tekhnologii v dobyche uglevodorodov: ot modeley k praktike” (Digital technologies in hydrocarbon production: from models to practice), Ufa: Publ. of RN-BashNIPIneft', 2021.

6. Sukharev K.V., Badamshin B.I., Avtomaticheskaya korrelyatsiya otrazhayushchikh gorizontov s ispol'zovaniem neyronnykh setey (Automatic correlation of reflectors using neural networks), Proceedings of scientific and technical conference “Tsifrovye tekhnologii v dobyche uglevodorodov: ot modeley k praktike” (Digital technologies in hydrocarbon production: from models to practice), Ufa: Publ. of RN-BashNIPIneft', 2021.

7. URL: https://rn.digital/seismic_challenge/

8. Levyant V.B., Ampilov Yu.P., Glogovskiy V.M. et al., Metodicheskie rekomendatsii po ispol'zovaniyu dannykh seysmorazvedki (2D, 3D) dlya podscheta zapasov nefti i gaza (Guidelines for using seismic data (2D, 3D) for calculating oil and gas reserves), Moscow: Publ. of Central Geophysical Expedition, 2006, 40 p.

9. Zakrevskiy K.E., Gazizov R.K., Karimova E.N., Lepilin A.E., The test case to assess the quality of geological simulation packets (In Russ.), Territoriya NEFTEGAZ = Oil and Gas Territory, 2018, no. 9, pp. 36–49.

The article describes a module for kinematic seismic interpretation, created as a part of corporate software package for 3D geological modeling RN-GEOSIM. The relevance and necessity of combining the processes of kinematic interpretation and geological modeling in a single software package are considered. Such approach allows the arrangement of seismic and geological modeling elements in the form of an inseparable process in which inputs and outputs are combined into a single modeling graph. The features of the implementation of some kinematic interpretation tools as a part of a geological modeling package are described, in particular, data visualization, seismic and well logging data binding, determination of the velocity patterns, automatic and manual tracking of reflecting horizons and faults, performing a time-to-depth transformation for horizons and fault polygons. The main functionality of kinematic seismic interpretation module and description of mathematical algorithms developed by the specialists of Rosneft Oil Company are given. Rosneft’ experts successfully tested seismic kinematic interpretation module using information on several dozen objects of various genesis. It is concluded that the creation of this module made it possible to expand the possibilities of integrating the RN-GEOSIM into the corporate line of software products for modeling oil and gas fields of Rosneft Oil Company and corresponds to modern trends in the reservoir modeling software development.

References

1. Saakyan M.I., Zakrevskiy K.E., Gazizov R.K. et al., The prospects of corporate geological modeling software creation (In Russ.), Neftyanoe khozyaystvo = Oil Industry, 2019, no. 11, pp. 50-54, DOI: 10.24887/0028-2448-2019-11-50-54

2. Baykov V.A., Bochkov A.S., Yakovlev A.A., Accounting of nonhomogeneity in Priobskoye field geological modeling and simulation (In Russ.), Neftyanoe khozyaystvo = Oil Industry, 2011, no. 5, pp. 50–54.

3. Zakrevskiy K.E., Geologicheskoe 3D modelirovanie (3D geological modeling), Moscow: Publ of IPTs Maska, 2009, 376 p.

4. Wu X., Fomel S., Least-squares horizons with local slopes and multigrid correlations, Geophysics, 2018, V. 83(4), pp. IM29–IM40, DOI:10.1190/geo2017-0830.1

5. Khayrullin T.A., Shkuratov A.M., Spele V.V. et al., Aspekty programmnoy realizatsii modulya avtomaticheskoy korrelyatsii otrazhayushchikh gorizontov (Aspects of software implementation of the module for automatic correlation of reflectors), Proceedings of scientific and technical conference “Tsifrovye tekhnologii v dobyche uglevodorodov: ot modeley k praktike” (Digital technologies in hydrocarbon production: from models to practice), Ufa: Publ. of RN-BashNIPIneft', 2021.

6. Sukharev K.V., Badamshin B.I., Avtomaticheskaya korrelyatsiya otrazhayushchikh gorizontov s ispol'zovaniem neyronnykh setey (Automatic correlation of reflectors using neural networks), Proceedings of scientific and technical conference “Tsifrovye tekhnologii v dobyche uglevodorodov: ot modeley k praktike” (Digital technologies in hydrocarbon production: from models to practice), Ufa: Publ. of RN-BashNIPIneft', 2021.

7. URL: https://rn.digital/seismic_challenge/

8. Levyant V.B., Ampilov Yu.P., Glogovskiy V.M. et al., Metodicheskie rekomendatsii po ispol'zovaniyu dannykh seysmorazvedki (2D, 3D) dlya podscheta zapasov nefti i gaza (Guidelines for using seismic data (2D, 3D) for calculating oil and gas reserves), Moscow: Publ. of Central Geophysical Expedition, 2006, 40 p.

9. Zakrevskiy K.E., Gazizov R.K., Karimova E.N., Lepilin A.E., The test case to assess the quality of geological simulation packets (In Russ.), Territoriya NEFTEGAZ = Oil and Gas Territory, 2018, no. 9, pp. 36–49.


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