Efficient prediction of hydrogen storage performance in depleted gas reservoirs using machine learning

Mao, Shaowen; Chen, Bailian; Malki, Mohamed; Chen, Fangxuan; Morales, Misael; Ma, Zhiwei; Mehana, Mohamed

doi:10.1016/j.apenergy.2024.122914

Efficient prediction of hydrogen storage performance in depleted gas reservoirs using machine learning

Journal Article · Wed May 01 00:00:00 EDT 2024 · Applied Energy

DOI:https://doi.org/10.1016/j.apenergy.2024.122914· OSTI ID:2369879

; Chen, Bailian; ; ; ; Ma, Zhiwei;

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Sponsoring Organization:: USDOE

OSTI ID:: 2369879

Journal Information:: Applied Energy, Journal Name: Applied Energy Journal Issue: C Vol. 361; ISSN 0306-2619

Publisher:: ElsevierCopyright Statement

Country of Publication:: United Kingdom

Language:: English

References (53)

Development and application of reduced-order modeling procedures for subsurface flow simulation Cardoso, M. A.; Durlofsky, L. J.; Sarma, P. International Journal for Numerical Methods in Engineering, Vol. 77, Issue 9 https://doi.org/10.1002/nme.2453	journal	February 2009
Benchmark study for the simulation of Underground Hydrogen Storage operations Hogeweg, Sebastian; Strobel, Gion; Hagemann, Birger Computational Geosciences, Vol. 26, Issue 6 https://doi.org/10.1007/s10596-022-10163-5	journal	August 2022
Use of reduced-order models in well control optimization Jansen, Jan Dirk; Durlofsky, Louis J. Optimization and Engineering, Vol. 18, Issue 1 https://doi.org/10.1007/s11081-016-9313-6	journal	February 2016
Numerical simulation of hydrodynamic and gas mixing processes in underground hydrogen storages Feldmann, F.; Hagemann, B.; Ganzer, L. Environmental Earth Sciences, Vol. 75, Issue 16 https://doi.org/10.1007/s12665-016-5948-z	journal	August 2016
Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates Sobol′, I. M. Mathematics and Computers in Simulation, Vol. 55, Issue 1-3 https://doi.org/10.1016/S0378-4754(00)00270-6	journal	February 2001
Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems Helton, J. C.; Davis, F. J. Reliability Engineering & System Safety, Vol. 81, Issue 1 https://doi.org/10.1016/S0951-8320(03)00058-9	journal	July 2003
Geologic CO2 sequestration monitoring design: A machine learning and uncertainty quantification based approach Chen, Bailian; Harp, Dylan R.; Lin, Youzuo Applied Energy, Vol. 225 https://doi.org/10.1016/j.apenergy.2018.05.044	journal	September 2018
Numerical simulation of large-scale seasonal hydrogen storage in an anticline aquifer: A case study capturing hydrogen interactions and cushion gas injection Chai, Maojie; Chen, Zhangxin; Nourozieh, Hossein Applied Energy, Vol. 334 https://doi.org/10.1016/j.apenergy.2023.120655	journal	March 2023
LaSDI: Parametric Latent Space Dynamics Identification Fries, William D.; He, Xiaolong; Choi, Youngsoo Computer Methods in Applied Mechanics and Engineering, Vol. 399 https://doi.org/10.1016/j.cma.2022.115436	journal	September 2022
Estimating maximum sustainable injection pressure during geological sequestration of CO2 using coupled fluid flow and geomechanical fault-slip analysis Rutqvist, J.; Birkholzer, J.; Cappa, F. Energy Conversion and Management, Vol. 48, Issue 6 https://doi.org/10.1016/j.enconman.2007.01.021	journal	June 2007
Role of Cushion Gas on Underground Hydrogen Storage in Depleted Oil Reservoirs Kanaani, Mahdi; Sedaee, Behnam; Asadian-Pakfar, Mojtaba Journal of Energy Storage, Vol. 45 https://doi.org/10.1016/j.est.2021.103783	journal	January 2022
Coupled hydro-mechanical analysis of seasonal underground hydrogen storage in a saline aquifer Bai, Tao; Tahmasebi, Pejman Journal of Energy Storage, Vol. 50 https://doi.org/10.1016/j.est.2022.104308	journal	June 2022
A comprehensive review of the mechanisms and efficiency of underground hydrogen storage Thiyagarajan, Sugan Raj; Emadi, Hossein; Hussain, Athar Journal of Energy Storage, Vol. 51 https://doi.org/10.1016/j.est.2022.104490	journal	July 2022
Regression-based reduced-order models to predict transient thermal output for enhanced geothermal systems Mudunuru, M. K.; Karra, S.; Harp, D. R. Geothermics, Vol. 70 https://doi.org/10.1016/j.geothermics.2017.06.013	journal	November 2017
Modeling a new design for extracting energy from geopressured geothermal reservoirs Ansari, Esmail; Hughes, Richard; White, Christopher D. Geothermics, Vol. 71 https://doi.org/10.1016/j.geothermics.2017.09.005	journal	January 2018
Simulation of industrial-scale CO2 storage: Multi-scale heterogeneity and its impacts on storage capacity, injectivity and leakage Deng, Hailin; Stauffer, Philip H.; Dai, Zhenxue International Journal of Greenhouse Gas Control, Vol. 10 https://doi.org/10.1016/j.ijggc.2012.07.003	journal	September 2012
Reduced order models of transient CO2 and brine leakage along abandoned wellbores from geologic carbon sequestration reservoirs Harp, Dylan R.; Pawar, Rajesh; Carey, J. William International Journal of Greenhouse Gas Control, Vol. 45 https://doi.org/10.1016/j.ijggc.2015.12.001	journal	February 2016
Reduced order models for assessing CO2 impacts in shallow unconfined aquifers Keating, Elizabeth H.; Harp, Dylan H.; Dai, Zhenxue International Journal of Greenhouse Gas Control, Vol. 46 https://doi.org/10.1016/j.ijggc.2016.01.008	journal	March 2016
Probabilistic analysis of CO2 storage mechanisms in a CO2-EOR field using polynomial chaos expansion Jia, Wei; McPherson, Brian J.; Pan, Feng International Journal of Greenhouse Gas Control, Vol. 51 https://doi.org/10.1016/j.ijggc.2016.05.024	journal	August 2016
Reduced-order modeling of CO2 storage operations Jin, Zhaoyang Larry; Durlofsky, Louis J. International Journal of Greenhouse Gas Control, Vol. 68 https://doi.org/10.1016/j.ijggc.2017.08.017	journal	January 2018
Frankenstein’s ROMster: Avoiding pitfalls of reduced-order model development Chen, Bailian; Harp, Dylan R.; Pawar, Rajesh J. International Journal of Greenhouse Gas Control, Vol. 93 https://doi.org/10.1016/j.ijggc.2019.102892	journal	February 2020
Physics-informed machine learning for fault-leakage reduced-order modeling Meguerdijian, Saro; Pawar, Rajesh J.; Chen, Bailian International Journal of Greenhouse Gas Control, Vol. 125 https://doi.org/10.1016/j.ijggc.2023.103873	journal	May 2023
A novel POD reduced-order model based on EDFM for steady-state and transient heat transfer in fractured geothermal reservoir Li, Tingyu; Gao, Yanqing; Han, Dongxu International Journal of Heat and Mass Transfer, Vol. 146 https://doi.org/10.1016/j.ijheatmasstransfer.2019.118783	journal	January 2020
Large-scale hydrogen energy storage in salt caverns Ozarslan, Ahmet International Journal of Hydrogen Energy, Vol. 37, Issue 19 https://doi.org/10.1016/j.ijhydene.2012.07.111	journal	October 2012
Seasonal storage of hydrogen in a depleted natural gas reservoir Amid, A.; Mignard, D.; Wilkinson, M. International Journal of Hydrogen Energy, Vol. 41, Issue 12 https://doi.org/10.1016/j.ijhydene.2016.02.036	journal	April 2016
Assessment of feasible strategies for seasonal underground hydrogen storage in a saline aquifer Sainz-Garcia, A.; Abarca, E.; Rubi, V. International Journal of Hydrogen Energy, Vol. 42, Issue 26 https://doi.org/10.1016/j.ijhydene.2017.05.076	journal	June 2017
Salt domes in Poland – Potential sites for hydrogen storage in caverns Tarkowski, Radosław; Czapowski, Grzegorz International Journal of Hydrogen Energy, Vol. 43, Issue 46 https://doi.org/10.1016/j.ijhydene.2018.09.212	journal	November 2018
Technical potential of salt caverns for hydrogen storage in Europe Caglayan, Dilara Gulcin; Weber, Nikolaus; Heinrichs, Heidi U. International Journal of Hydrogen Energy, Vol. 45, Issue 11 https://doi.org/10.1016/j.ijhydene.2019.12.161	journal	February 2020
Underground hydrogen storage: A comprehensive review Zivar, Davood; Kumar, Sunil; Foroozesh, Jalal International Journal of Hydrogen Energy https://doi.org/10.1016/j.ijhydene.2020.08.138	journal	September 2020
Seasonal hydrogen storage in a depleted oil and gas field Lysyy, Maksim; Fernø, Martin; Ersland, Geir International Journal of Hydrogen Energy, Vol. 46, Issue 49 https://doi.org/10.1016/j.ijhydene.2021.05.030	journal	July 2021
Hydrogen storage in saline aquifers: The role of cushion gas for injection and production Heinemann, N.; Scafidi, J.; Pickup, G. International Journal of Hydrogen Energy, Vol. 46, Issue 79 https://doi.org/10.1016/j.ijhydene.2021.09.174	journal	November 2021
Impact of geological and operational conditions on underground hydrogen storage Ershadnia, Reza; Singh, Mrityunjay; Mahmoodpour, Saeed International Journal of Hydrogen Energy, Vol. 48, Issue 4 https://doi.org/10.1016/j.ijhydene.2022.09.208	journal	January 2023
Capacity assessment and cost analysis of geologic storage of hydrogen: A case study in Intermountain-West Region USA Chen, Fangxuan; Ma, Zhiwei; Nasrabadi, Hadi International Journal of Hydrogen Energy, Vol. 48, Issue 24 https://doi.org/10.1016/j.ijhydene.2022.11.292	journal	March 2023
Comprehensive study of the underground hydrogen storage potential in the depleted offshore Tapti-gas field Kiran, Raj; Upadhyay, Rajeev; Rajak, Vinay Kumar International Journal of Hydrogen Energy, Vol. 48, Issue 33 https://doi.org/10.1016/j.ijhydene.2022.12.172	journal	April 2023
Large-scale underground hydrogen storage: Integrated modeling of reservoir-wellbore system Abdellatif, Mohab; Hashemi, Mehrdad; Azizmohammadi, Siroos International Journal of Hydrogen Energy, Vol. 48, Issue 50 https://doi.org/10.1016/j.ijhydene.2023.01.227	journal	June 2023
Underground hydrogen storage to balance seasonal variations in energy demand: Impact of well configuration on storage performance in deep saline aquifers Harati, Saeed; Rezaei Gomari, Sina; Gasanzade, Firdovsi International Journal of Hydrogen Energy, Vol. 48, Issue 69 https://doi.org/10.1016/j.ijhydene.2023.03.363	journal	August 2023
gLaSDI: Parametric physics-informed greedy latent space dynamics identification He, Xiaolong; Choi, Youngsoo; Fries, William D. Journal of Computational Physics, Vol. 489 https://doi.org/10.1016/j.jcp.2023.112267	journal	September 2023
Reduced-order modeling: new approaches for computational physics Lucia, David J.; Beran, Philip S.; Silva, Walter A. Progress in Aerospace Sciences, Vol. 40, Issue 1-2 https://doi.org/10.1016/j.paerosci.2003.12.001	journal	February 2004
Deep-learning-based surrogate model for reservoir simulation with time-varying well controls Jin, Zhaoyang Larry; Liu, Yimin; Durlofsky, Louis J. Journal of Petroleum Science and Engineering, Vol. 192 https://doi.org/10.1016/j.petrol.2020.107273	journal	September 2020
Underground hydrogen storage in a partially depleted gas condensate reservoir: Influence of cushion gas Zamehrian, Mohammad; Sedaee, Behnam Journal of Petroleum Science and Engineering, Vol. 212 https://doi.org/10.1016/j.petrol.2022.110304	journal	May 2022
Underground hydrogen storage: Characteristics and prospects Tarkowski, Radoslaw Renewable and Sustainable Energy Reviews, Vol. 105 https://doi.org/10.1016/j.rser.2019.01.051	journal	May 2019
Assessment of the potential for underground hydrogen storage in salt domes Lankof, Leszek; Urbańczyk, Kazimierz; Tarkowski, Radosław Renewable and Sustainable Energy Reviews, Vol. 160 https://doi.org/10.1016/j.rser.2022.112309	journal	May 2022
Hydrogen storage in saline aquifers: Opportunities and challenges Jafari Raad, Seyed Mostafa; Leonenko, Yuri; Hassanzadeh, Hassan Renewable and Sustainable Energy Reviews, Vol. 168 https://doi.org/10.1016/j.rser.2022.112846	journal	October 2022
CO ₂ Accounting and Risk Analysis for CO ₂ Sequestration at Enhanced Oil Recovery Sites Dai, Zhenxue; Viswanathan, Hari; Middleton, Richard Environmental Science & Technology, Vol. 50, Issue 14 https://doi.org/10.1021/acs.est.6b01744	journal	June 2016
Identifying geologic characteristics and operational decisions to meet global carbon sequestration goals Middleton, Richard S.; Ogland-Hand, Jonathan D.; Chen, Bailian Energy & Environmental Science, Vol. 13, Issue 12 https://doi.org/10.1039/D0EE02488K	journal	January 2020
Enabling large-scale hydrogen storage in porous media – the scientific challenges Heinemann, Niklas; Alcalde, Juan; Miocic, Johannes M. Energy & Environmental Science, Vol. 14, Issue 2 https://doi.org/10.1039/D0EE03536J	journal	January 2021
Geological storage of hydrogen in deep aquifers – an experimental multidisciplinary study Haddad, P. G.; Ranchou-Peyruse, M.; Guignard, M. Energy & Environmental Science, Vol. 15, Issue 8 https://doi.org/10.1039/D2EE00765G	journal	January 2022
Real-time high-resolution CO₂ geological storage prediction using nested Fourier neural operators Wen, Gege; Li, Zongyi; Long, Qirui Energy & Environmental Science, Vol. 16, Issue 4 https://doi.org/10.1039/D2EE04204E	journal	January 2023
Discovering governing equations from data by sparse identification of nonlinear dynamical systems Brunton, Steven L.; Proctor, Joshua L.; Kutz, J. Nathan Proceedings of the National Academy of Sciences, Vol. 113, Issue 15 https://doi.org/10.1073/pnas.1517384113	journal	March 2016
Robust Locally Weighted Regression and Smoothing Scatterplots Cleveland, William S. Journal of the American Statistical Association, Vol. 74, Issue 368 https://doi.org/10.1080/01621459.1979.10481038	journal	December 1979
Locally Weighted Regression: An Approach to Regression Analysis by Local Fitting Cleveland, William S.; Devlin, Susan J. Journal of the American Statistical Association, Vol. 83, Issue 403 https://doi.org/10.1080/01621459.1988.10478639	journal	September 1988
Fast Multiscale Reservoir Simulations With POD-DEIM Model Reduction Yang, Yanfang; Ghasemi, Mohammadreza; Gildin, Eduardo SPE Journal, Vol. 21, Issue 06 https://doi.org/10.2118/173271-PA	journal	June 2016
Insights into the petroleum geology and stratigraphy of the Dakota interval (Cretaceous) in the San Juan Basin, northwestern New Mexico and southwestern Colorado Head, Charles F.; Owen, Donald E. Geology of the Chama Basin https://doi.org/10.56577/FFC-56.434	conference	January 2005

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