A CSM-Based Python Bot for Estimating the Stability Zone of Gas Hydrates

Author:

Smirnov Yu.Yu.ORCID,Matveeva T. V.ORCID,Shchur N. A.ORCID,Shchur A. A.ORCID,Bochkarev A. V.ORCID

Publisher

Springer Nature Switzerland

Reference10 articles.

1. Matveeva, T.V.: Quantitative assessment of gas hydrate resources in the water areas of the seas of the Russian Federation (stage 2). In: Report on the results of works performed in 2020 within the framework of the State Task of the Federal Agency for Subsoil Use dated October 13, 2020 No. 049-00018-20-03 for 2020 and for the planned period of 2021 and 2022. SPb. VNIIOkeangeologiya (2020). (in Russian)

2. Malakhova, V.V.: The response of the Arctic Ocean gas hydrate associated with subsea permafrost to natural and anthropogenic climate changes. IOP Conf. Ser.: Earth Environ. Sci. 606(1), 012035 (2020)

3. Sloan, E.D.: Gas hydrates: review of physical/chemical properties. Energy Fuels 12(2), 191–196 (1998)

4. Babakhani, S.M., Bahmani, M., Shariati, J., Badr, K., Balouchi, Y.: Comparing the capability of artificial neural network (ANN) and CSMHYD program for predicting of hydrate formation pressure in binary mixtures. J. Pet. Sci. Eng. 136, 78–87 (2015)

5. Plas, J.V.: Python for Complex tasks: data science and machine learning. Series “Bestsellers O'Reilly”, p. 576 (2018). (In Russian)

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