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Volume 1, Issue 1, Reservoir Science
Volume 1, Issue 1, 2025
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Reservoir Science, Volume 1, Issue 1, 2025: 1-2

Open Access | Editorial | 14 July 2025
Reservoir Science: A Multi-Coupling Communication Platform to Promote Energy Transformation, Climate Change and Environmental Protection
by
1 Faculty of Engineering, China University of Petroleum-Beijing at Karamay, Karamay 834000, China
* Corresponding Author: Qiang Li, [email protected]
Received: 28 June 2025, Accepted: 29 June 2025, Published: 14 July 2025  
Abstract
Reservoir Science (RS) journal represents a significant milestone in the pursuit of energy extraction, energy storage, and the multifarious effects of climate change, which are influenced by the dual factors of global climate variability and energy scarcity. Concurrently, Reservoir Science is dedicated to the dissemination of innovative modules and research domains pertaining to energy extraction, energy storage, reservoir environment and greenhouse gas storage. Furthermore, the field of Reservoir Science encompasses the exploitation of geothermal energy, hydrocarbons (petroleum, hydrates) and hydrogen energy within reservoirs. The research scope of Reservoir Science encompasses not only the domain of reservoir energy storage, which falls under the purview of energy storage engineering, but also that of carbon storage science. Finally, the question of environmental impact on reservoirs during energy extraction and storage is a fundamental aspect of Reservoir Science journal.

Keywords
energy extraction
energy storage
reservoir environment
climate protection
mining engineering

Data Availability Statement
Not applicable.

Funding
This work was supported without any funding.

Conflicts of Interest
The author declares no conflicts of interest.

Ethical Approval and Consent to Participate
Not applicable.

Cite This Article
APA Style
Li, Q. (2025). Reservoir Science: A Multi-Coupling Communication Platform to Promote Energy Transformation, Climate Change and Environmental Protection. Reservoir Science, 1(1), 1–2. https://doi.org/10.62762/RS.2025.352950

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CC BY Copyright © 2025 by the Author(s). Published by Institute of Central Computation and Knowledge. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made.
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