Society of Petrophysicists. Online-Platform for Knowledge Management and Sharing
https://doi.org/10.7868/S2587739920040138
Abstract
The geology of oilfields is becoming more complex, which leads to uncertain distribution of petrophysical properties. Quality of reservoir properties prediction depends on petrophysical models and log interpretation algorithms. It is also connected with the level of expertise of each petrophysicist as well as knowledge sharing among experts and young specialists. The aim of this paper is to present Gazprom Neft Science and Technical Centre approach to development of petrophysical competences with communities of practice.
About the Authors
E. N. Maksimova
Gazpromneft NTC LLC
Russian Federation
Russian Federation
Saint-Petersburg
E. G. Viktorov
Gazpromneft NTC LLC
Russian Federation
Russian Federation
Saint-Petersburg
E. O. Belyakov
Gazpromneft NTC LLC
Russian Federation
Russian Federation
Saint-Petersburg
B. V. Belozerov
Gazpromneft NTC LLC
Russian Federation
Russian Federation
Saint-Petersburg
References
1. Komkov A.G., Katrich N.M., Kiryanov E.L. et al. 2015. The Formation and Operation of Extension Systems and Unified Information Platform for the Exchange of Experience among Employees Upstream. Neftianoe khoziaistvo [Oil Industry Journal]. 2015, no. 12, pp. 24–27. (In Russ.)
2. Enikeev B.N. About petrophysics and its evolution. Karotazhnik journal. 2014, vol. 245, no. 11, pp. 90–10. (In Russ.)
3. Belozerov B.V., Viktorov E.G., Kiryanov E.L. Cognitive Technologies as a New Stage of Knowledge Management Systems in Oil and Gas Industry. PRONEFT’. 2018, no. 3, pp. 78–80. (In Russ.)
4. Faizov R.Z., Maksimova E.N., Kolesnikov D.S. SPE-195821-MS “Creating 3D Geomodel: How to Increase the Quality through Training and Education?”. SPE Annual Technical Conference and Exhibition, Calgary, Canada, 2019.
Review
For citations:
Maksimova E.N., Viktorov E.G., Belyakov E.O., Belozerov B.V. Society of Petrophysicists. Online-Platform for Knowledge Management and Sharing. PROneft. Professionally about Oil. 2020;(4):87-92. (In Russ.) https://doi.org/10.7868/S2587739920040138
Views:
161
Email this article 