Software architecture of the atlas of digital oil-gas formations

Andrey Yu Sobolev; Galina V. Nesterova; Nikita M. Chernyak; Igor N. Yeltsov

Software architecture of the atlas of digital oil-gas formations

Andrey Yu Sobolev, Galina V. Nesterova, Nikita M. Chernyak, Igor N. Yeltsov

Research output: Contribution to journal › Conference article › peer-review

Abstract

The ATLAS MPhM is a collection of digital formation models of oil and gas-saturated reservoirs. It is intended for most realistic modeling that includes changes in fluid-saturated rock properties in the borehole environment, and describes the processes of the formation fluid replacement with mud filtrate, taking into account changes in the geomechanical parameters and evolution of the spatial distribution of electric resistivity. The ATLAS software organization uses a scalable “cloud” of computing agents for high-performance scientific calculations.

Original language	English
Pages (from-to)	35-38
Number of pages	4
Journal	CEUR Workshop Proceedings
Volume	2569
Publication status	Published - 8 Mar 2020
Event	17th International Conference Distributed Information-Computational Resources, DICR 2019 - Novosibirsk, Russian Federation Duration: 3 Dec 2019 → 6 Dec 2019

Keywords

Data analysis
Digital twin
Electromagnetic logging
VIKIZ

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title = "Software architecture of the atlas of digital oil-gas formations",

abstract = "The ATLAS MPhM is a collection of digital formation models of oil and gas-saturated reservoirs. It is intended for most realistic modeling that includes changes in fluid-saturated rock properties in the borehole environment, and describes the processes of the formation fluid replacement with mud filtrate, taking into account changes in the geomechanical parameters and evolution of the spatial distribution of electric resistivity. The ATLAS software organization uses a scalable “cloud” of computing agents for high-performance scientific calculations.",

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AU - Nesterova, Galina V.

AU - Chernyak, Nikita M.

AU - Yeltsov, Igor N.

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KW - Electromagnetic logging

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