Reservoir Science Home About Editors Current Issue
-
CiteScore
-
Impact Factor
  1. Home
  2. Journals
  3. Reservoir Science
  4. Volume 1, Issue 1
The Influence of Geological Factors and Transmission Fluids on the Exploitation of Reservoir Geothermal Resources: Factor Discussion and Mechanism Analysis
Research Article | Published: 29 September 2025
Reservoir Science Volume 1, Issue 1, 2025: 3-18
Volume 1, Issue 1, Reservoir Science
Volume 1, Issue 1, 2025
Submit Manuscript Edit a Special Issue
Article QR Code
Article QR Code
Scan the QR code for reading
Popular articles
Case Studies on Integrating Artificial Intelligence in Finance to Transform Decision Making and Risk Management for Enhanced Financial Outcomes Reservoir Science: A Multi-Coupling Communication Platform to Promote Energy Transformation, Climate Change and Environmental Protection From CO$_2$ Sequestration to Hydrogen Storage: Further Utilization of Depleted Gas Reservoirs Reinforcement Learning for Prompt Optimization in Language Models: A Comprehensive Survey of Methods, Representations, and Evaluation Challenges Effects of Crosslinking Agents and Reservoir Conditions on the Propagation of Fractures in Coal Reservoirs During Hydraulic Fracturing AI and the Future of Education: Advancing Personalized Learning and Intelligent Tutoring Systems The Influence of Geological Factors and Transmission Fluids on the Exploitation of Reservoir Geothermal Resources: Factor Discussion and Mechanism Analysis YOLOv8-Lite: A Lightweight Object Detection Model for Real-time Autonomous Driving Systems Plant Disease Detection Using Deep Learning Techniques Current Status and Development Prospects of Carbon Capture, Utilization, and Storage (CCUS) in China: Technical, Policy, and Market Perspectives
Reservoir Science, Volume 1, Issue 1, 2025: 3-18

Open Access | Research Article | 29 September 2025
The Influence of Geological Factors and Transmission Fluids on the Exploitation of Reservoir Geothermal Resources: Factor Discussion and Mechanism Analysis
by
Fuling Wang Fuling Wang 1 *
Forson Kobina Forson Kobina 2
1 Faculty of Engineering, China University of Petroleum-Beijing at Karamay, Karamay 834000, China
2 Department of Building, Civil, and Environmental Engineering, Concordia University, Montreal, QC H3G 1M8, Canada
* Corresponding Author: Fuling Wang, [email protected]
DOI: 10.62762/RS.2025.637298
ARK: ark:/57805/rs.2025.637298
Received: 14 July 2025, Accepted: 03 September 2025, Published: 29 September 2025  
Cited by: 33  (Source: Web of Science), 33  (Source: Scopus ), 33  (Source: Google Scholar)
   PDF  (4.87 MB)
Article Metrics Cite This Article
Abstract
The geothermal resources present within the reservoir post-oil production in the oil field have hitherto been overlooked and underdeveloped, constituting a novel energy supplement for the maintenance of energy security. The present study constructed a geothermal transmission and exploitation model for oil reservoirs based on the geological environment and the characteristics of geothermal transmission media. This model can be used to analyse the impact of different factors on the efficiency of reservoir geothermal resources. Concurrently, a molecular dynamics model was constructed to reveal the geothermal transmission mechanism at a microscopic perspective, which will facilitate the optimisation of geothermal mining technology. The findings indicate that fluid viscosity hinders geothermal transmission, and the transmission medium of 40mPa·s increases the diameter range of geothermal transmission by 9m compared with 30mPa·s. Furthermore, the deflection angle of reservoir fractures is also not conducive to reservoir geothermal transmission. It has been demonstrated that an increase in the deflection angle results in a reduction of the transmission capacity, owing to substantial fluid filtration. The utilisation of reservoir geothermal resources provides fundamental data support for the rational application of energy and the assurance of energy security.
Graphical Abstract
The Influence of Geological Factors and Transmission Fluids on the Exploitation of Reservoir Geothermal Resources: Factor Discussion and Mechanism Analysis
Keywords
geothermal transmission
reservoir energy extraction
fluid heat transfer
energy engineering
petroleum reservoir
Data Availability Statement
Data will be made available on request.
Funding
This work was supported by the "Tianchi Talents" Young Doctor Introduction Program Project.
Conflicts of Interest
The authors declare no conflicts of interest.
Ethical Approval and Consent to Participate
Not applicable.
References
  1. Hall, A., Scott, J. A., & Shang, H. (2011). Geothermal energy recovery from underground mines. Renewable and Sustainable Energy Reviews, 15(2), 916–924.
    [CrossRef]   [Google Scholar]
  2. Loredo, C., Roqueñí, N., & Ordóñez, A. (2016). Modelling flow and heat transfer in flooded mines for geothermal energy use: A review. International Journal of Coal Geology, 164, 115–122.
    [CrossRef]   [Google Scholar]
  3. Tester, J. W., Herzog, H. J., Chen, Z., Potter, R. M., & Frank, M. G. (1994). Prospects for universal geothermal energy from heat mining. Science & Global Security, 5(1), 99–121.
    [CrossRef]   [Google Scholar]
  4. Xu, Y., Li, Z., Chen, Y., Jia, M., Zhang, M., & Li, R. (2022). Synergetic mining of geothermal energy in deep mines: An innovative method for heat hazard control. Applied Thermal Engineering, 210, 118398.
    [CrossRef]   [Google Scholar]
  5. Bao, T., Meldrum, J., Green, C., Vitton, S., Liu, Z., & Bird, K. (2019). Geothermal energy recovery from deep flooded copper mines for heating. Energy Conversion and Management, 183, 604–616.
    [CrossRef]   [Google Scholar]
  6. Guo, P., He, M., Zheng, L., & Zhang, N. (2017). A geothermal recycling system for cooling and heating in deep mines. Applied Thermal Engineering, 116, 833–839.
    [CrossRef]   [Google Scholar]
  7. Renz, A., Rühaak, W., Schätzl, P., & Diersch, H. J. (2009). Numerical modeling of geothermal use of mine water: Challenges and examples. Mine Water and the Environment, 28(1), 2–14.
    [CrossRef]   [Google Scholar]
  8. Huang, Y., Kong, Y., Cheng, Y., Zhu, C., Zhang, J., & Wang, J. (2023). Evaluating the long-term sustainability of geothermal energy utilization from deep coal mines. Geothermics, 107, 102584.
    [CrossRef]   [Google Scholar]
  9. Zhao, Y., Feng, Z., Zhao, Y., & Wan, Z. (2017). Experimental investigation on thermal cracking, permeability under HTHP and application for geothermal mining of HDR. Energy, 132, 305–314.
    [CrossRef]   [Google Scholar]
  10. Qu, Z. Q., Zhang, W., & Guo, T. K. (2017). Influence of different fracture morphology on heat mining performance of enhanced geothermal systems based on COMSOL. International Journal of Hydrogen Energy, 42(29), 18263–18278.
    [CrossRef]   [Google Scholar]
  11. Zhang, L., Ezekiel, J., Li, D., Pei, J., & Ren, S. (2014). Potential assessment of CO2 injection for heat mining and geological storage in geothermal reservoirs of China. Applied Energy, 122, 237–246.
    [CrossRef]   [Google Scholar]
  12. Akhigbe, E. E. (2025). Advancing geothermal energy: A review of technological developments and environmental impacts. Gulf Journal of Advance Business Research.
    [CrossRef]   [Google Scholar]
  13. Loredo, C., Ordóñez, A., Garcia-Ordiales, E., Álvarez, R., Roqueñi, N., Cienfuegos, P., & Burnside, N. M. (2017). Hydrochemical characterization of a mine water geothermal energy resource in NW Spain. Science of the Total Environment, 576, 59–69.
    [CrossRef]   [Google Scholar]
  14. Zhang, W., Qu, Z., Guo, T., & Wang, Z. (2019). Study of the enhanced geothermal system (EGS) heat mining from variably fractured hot dry rock under thermal stress. Renewable Energy, 143, 855–871.
    [CrossRef]   [Google Scholar]
  15. Bongole, K., Sun, Z., & Yao, J. (2021). Potential for geothermal heat mining by analysis of the numerical simulation parameters in proposing enhanced geothermal system at Bongor Basin, Chad. Simulation Modelling Practice and Theory, 107, 102218.
    [CrossRef]   [Google Scholar]
  16. Li, C., Hu, Y., Meng, T., Jin, P., Zhao, Z., & Zhang, C. (2020). Experimental study of the influence of temperature and cooling method on mechanical properties of granite: Implication for geothermal mining. Energy Science & Engineering, 8(5), 1716–1728.
    [CrossRef]   [Google Scholar]
  17. Cui, G., Ren, S., Rui, Z., Ezekiel, J., Zhang, L., & Wang, H. (2018). The influence of complicated fluid-rock interactions on the geothermal exploitation in the CO2 plume geothermal system. Applied Energy, 227, 49–63.
    [CrossRef]   [Google Scholar]
  18. Guo, P., Zheng, L., Sun, X., He, M., Wang, Y., & Shang, J. (2018). Sustainability evaluation model of geothermal resources in abandoned coal mine. Applied Thermal Engineering, 144, 804–811.
    [CrossRef]   [Google Scholar]
  19. Lu, X., Tong, X., Du, X., Xiao, Y., & Deng, J. (2023). Effect of wellbore layout and varying flow rate on fluid flow and heat transfer of deep geothermal mining system. Thermal Science and Engineering Progress, 42, 101870.
    [CrossRef]   [Google Scholar]
  20. Guo, Y., Li, X., Huang, L., Dyskin, A., & Pasternak, E. (2024). Insight into the dynamic tensile behavior of deep anisotropic shale reservoir after water-based working fluid cooling. International Journal of Rock Mechanics and Mining Sciences, 182, 105875.
    [CrossRef]   [Google Scholar]
  21. O'Sullivan, M. J., Pruess, K., & Lippmann, M. J. (2001). State of the art of geothermal reservoir simulation. Geothermics, 30(4), 395–429.
    [CrossRef]   [Google Scholar]
  22. Battistelli, A., Calore, C., & Pruess, K. (1997). The simulator TOUGH2/EWASG for modelling geothermal reservoirs with brines and non-condensible gas. Geothermics, 26(4), 437–464.
    [CrossRef]   [Google Scholar]
  23. Wang, Z., Sun, B., & Sun, X. (2016). Calculation of temperature in fracture for carbon dioxide fracturing. SPE Journal, 21(5), 1491–1500.
    [CrossRef]   [Google Scholar]
  24. Shi, Y., Bai, Z., Feng, G., Tian, H., & Bai, H. (2021). Performance analysis of medium-depth coaxial heat exchanger geothermal system using CO2 as a circulating fluid for building heating. Arabian Journal of Geosciences, 14(14), 1308.
    [CrossRef]   [Google Scholar]
  25. Huang, X., Liu, F., Zhang, P., Wei, Z., Sun, J., Lv, K., & Li, J. (2023). Application of microgel latex in water-based drilling fluid to stabilize the fractured formation. Geoenergy Science and Engineering, 228, 212016.
    [CrossRef]   [Google Scholar]
  26. Wood, D. A. (2017). Re-establishing the merits of thermal maturity and petroleum generation multi-dimensional modeling with an Arrhenius Equation using a single activation energy. Journal of Earth Science, 28(5), 804–834.
    [CrossRef]   [Google Scholar]
  27. Li, Q., Li, Q., Cao, H., Wu, J., Wang, F., & Wang, Y. (2025). The crack propagation behaviour of CO2 fracturing fluid in unconventional low permeability reservoirs: factor analysis and mechanism revelation. Processes, 13(1), 159.
    [CrossRef]   [Google Scholar]
  28. Poletto, F., Farina, B., & Carcione, J. M. (2018). Sensitivity of seismic properties to temperature variations in a geothermal reservoir. Geothermics, 76, 149–163.
    [CrossRef]   [Google Scholar]
  29. Fan, H., Zhang, L., Wang, R., Song, H., Xie, H., Du, L., & Sun, P. (2020). Investigation on geothermal water reservoir development and utilization with variable temperature regulation: a case study of China. Applied energy, 275, 115370.
    [CrossRef]   [Google Scholar]
  30. Xu, B., Gao, W., Liao, B., Bai, H., Qiao, Y., & Turek, W. (2023). A review of temperature effects on membrane filtration. Membranes, 14(1), 5.
    [CrossRef]   [Google Scholar]
Cite This Article
APA Style
Wang, F., & Kobina, F. (2025). The Influence of Geological Factors and Transmission Fluids on the Exploitation of Reservoir Geothermal Resources: Factor Discussion and Mechanism Analysis. Reservoir Science, 1(1), 3–18. https://doi.org/10.62762/RS.2025.637298
Export Citation
RIS Format
Compatible with EndNote, Zotero, Mendeley, and other reference managers
RIS format data for reference managers
TY  - JOUR
AU  - Wang, Fuling
AU  - Kobina, Forson
PY  - 2025
DA  - 2025/09/29
TI  - The Influence of Geological Factors and Transmission Fluids on the Exploitation of Reservoir Geothermal Resources: Factor Discussion and Mechanism Analysis
JO  - Reservoir Science
T2  - Reservoir Science
JF  - Reservoir Science
VL  - 1
IS  - 1
SP  - 3
EP  - 18
DO  - 10.62762/RS.2025.637298
UR  - https://www.icck.org/article/abs/RS.2025.637298
KW  - geothermal transmission
KW  - reservoir energy extraction
KW  - fluid heat transfer
KW  - energy engineering
KW  - petroleum reservoir
AB  - The geothermal resources present within the reservoir post-oil production in the oil field have hitherto been overlooked and underdeveloped, constituting a novel energy supplement for the maintenance of energy security. The present study constructed a geothermal transmission and exploitation model for oil reservoirs based on the geological environment and the characteristics of geothermal transmission media. This model can be used to analyse the impact of different factors on the efficiency of reservoir geothermal resources. Concurrently, a molecular dynamics model was constructed to reveal the geothermal transmission mechanism at a microscopic perspective, which will facilitate the optimisation of geothermal mining technology. The findings indicate that fluid viscosity hinders geothermal transmission, and the transmission medium of 40mPa·s increases the diameter range of geothermal transmission by 9m compared with 30mPa·s. Furthermore, the deflection angle of reservoir fractures is also not conducive to reservoir geothermal transmission. It has been demonstrated that an increase in the deflection angle results in a reduction of the transmission capacity, owing to substantial fluid filtration. The utilisation of reservoir geothermal resources provides fundamental data support for the rational application of energy and the assurance of energy security.
SN  - 3070-2356
PB  - Institute of Central Computation and Knowledge
LA  - English
ER  -
BibTeX Format
Compatible with LaTeX, BibTeX, and other reference managers
BibTeX format data for LaTeX and reference managers
@article{Wang2025The,
  author = {Fuling Wang and Forson Kobina},
  title = {The Influence of Geological Factors and Transmission Fluids on the Exploitation of Reservoir Geothermal Resources: Factor Discussion and Mechanism Analysis},
  journal = {Reservoir Science},
  year = {2025},
  volume = {1},
  number = {1},
  pages = {3-18},
  doi = {10.62762/RS.2025.637298},
  url = {https://www.icck.org/article/abs/RS.2025.637298},
  abstract = {The geothermal resources present within the reservoir post-oil production in the oil field have hitherto been overlooked and underdeveloped, constituting a novel energy supplement for the maintenance of energy security. The present study constructed a geothermal transmission and exploitation model for oil reservoirs based on the geological environment and the characteristics of geothermal transmission media. This model can be used to analyse the impact of different factors on the efficiency of reservoir geothermal resources. Concurrently, a molecular dynamics model was constructed to reveal the geothermal transmission mechanism at a microscopic perspective, which will facilitate the optimisation of geothermal mining technology. The findings indicate that fluid viscosity hinders geothermal transmission, and the transmission medium of 40mPa·s increases the diameter range of geothermal transmission by 9m compared with 30mPa·s. Furthermore, the deflection angle of reservoir fractures is also not conducive to reservoir geothermal transmission. It has been demonstrated that an increase in the deflection angle results in a reduction of the transmission capacity, owing to substantial fluid filtration. The utilisation of reservoir geothermal resources provides fundamental data support for the rational application of energy and the assurance of energy security.},
  keywords = {geothermal transmission, reservoir energy extraction, fluid heat transfer, energy engineering, petroleum reservoir},
  issn = {3070-2356},
  publisher = {Institute of Central Computation and Knowledge}
}
Article Metrics
Citations:

Google Scholar
33

Crossref

31

Scopus

33

Web of Science

33
Article Access Statistics:
Views: 10259
PDF Downloads: 2175
Publisher's Note
ICCK stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and Permissions
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.
Reservoir Science

Reservoir Science

ISSN: 3070-2356 (Online)

Email: [email protected]

Portico

Portico

All published articles are preserved here permanently:
https://www.portico.org/publishers/icck/