Software for Modeling Oilfield Surface Equipment Mode
S. Iakov Korovin, Maxim G. Tkachenko
S. Iakov Korovin
Available Online March 2018.
- 10.2991/acaai-18.2018.34How to use a DOI?
- Digital oilfield; neural networks; modeling; oil production.
In the paper we describe a software developed to simulate the complexes of the surface infrastructure of oil and gas fields. The created software is based on methods and algorithms proposed by the team of authors for constructing models of surface equipment for hydrocarbon deposits. The proposed approaches apply neural network k models of field components, trained on the basis of data from real production sites based on telemetry control data. The interaction between the components of the model is carried out on the basis of modeling the transfer of various types of energy between the components that make up the structure of the model.
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - S. Iakov Korovin AU - Maxim G. Tkachenko PY - 2018/03 DA - 2018/03 TI - Software for Modeling Oilfield Surface Equipment Mode BT - Proceedings of the 2018 International Conference on Advanced Control, Automation and Artificial Intelligence (ACAAI 2018) PB - Atlantis Press SP - 147 EP - 149 SN - 1951-6851 UR - https://doi.org/10.2991/acaai-18.2018.34 DO - 10.2991/acaai-18.2018.34 ID - Korovin2018/03 ER -