Prediction of Optimal Production Time during Underground CH<sub>4</sub> Storage with Cushion CO<sub>2</sub> Using Reservoir Simulations and Artificial Neural Networks-Reference-Cited by-同舟云学术

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Prediction of Optimal Production Time during Underground CH₄ Storage with Cushion CO₂ Using Reservoir Simulations and Artificial Neural Networks

Published:2023-11-22 Issue:23 Volume:37 Page:19022-19038
ISSN:0887-0624
Container-title:Energy & Fuels
language:en
Short-container-title:Energy Fuels

Author:

Helland Johan Olav¹^ORCID,Friis Helmer André¹^ORCID,Assadi Mohsen¹,Klimkowski Łukasz²,Nagy Stanisław²

Affiliation:

1. Department of Energy and Petroleum Engineering, University of Stavanger, N-4036 Stavanger, Norway

2. AGH University of Kraków, 30-059 Kraków, Poland

Funder

EEA Grants/Norway Grants

Publisher

American Chemical Society (ACS)

Subject

Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.energyfuels.3c03382

Reference35 articles.

1. International Energy Agency (IEA). Energy Technology Perspectives 2023. Available online, 2023: https://www.iea.org/reports/energy-technology-perspectives-2023.

2. International Energy Agency (IEA). Fuel & technologies, Gas. Available online: https://www.iea.org/fuels-and-technologies/gas.

3. U.S. Energy Information Administration (EIA). The Basics of Underground Natural Gas Storage. Natural gas report. November 16, 2015. Available online: https://www.eia.gov/naturalgas/storage/basics/.

4. Carbon Dioxide as Cushion Gas for Natural Gas Storage

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