Development of a site-screening method for hydrogen storage purposes and its application to an industrial dataset of Italian hydrocarbon reservoirs

A methodology is presented for the objective and transparent screening of hydrocarbon reservoirs for underground hydrogen storage (UHS), with subsequent testing on a large confidential dataset provided by the energy company Eni. The procedure uses the Analytic Hierarchy Process and the Delphi technique to gather expert opinions and weight 27 screening parameters in terms of: health, safety, and environment; geotechnical performance; and economic performance. A set of scores is produced that characterizes each site in terms of these three categories, as well as a comprehensive site ranking based on their overall suitability for UHS. The results highlight the importance of geotechnical parameters, while the characterization of faults and hydrocarbon type, the onshore or offshore location, the number of wells, and the reservoir architecture yielded the highest individual weights. Potential scores are also estimated for sites with incomplete datasets. Two blind tests evaluated the method's effectiveness against preexisting industrial assessments. • Screening and ranking of porous-media depleted hydrocarbon reservoirs for UHS. • Utilization of the AHP multi-criteria decision-making method for parameter weighting. • Application of the screening method to a large industrial dataset with blind tests. • Scoring of the HSE, geotechnical and economic performances of sites. • Site performance scoring for UHS site-screening.

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Publication Details

Journal
International Journal of Hydrogen Energy
Published
2024-08-29
DOI
https://doi.org/10.1016/j.ijhydene.2024.08.291
Citations
4
Primary Topic
CO2 Sequestration and Geologic Interactions
Type
article
Field-Weighted Citation Impact
0.82
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article

Development of a site-screening method for hydrogen storage purposes and its application to an industrial dataset of Italian hydrocarbon reservoirs

S.E. Beaubien, Sabina Bigi, A. Da Pra, Riccardo Maria Ridolfi et al.
4 citations
International Journal of Hydrogen Energy
CO2 Sequestration and Geologic Interactions
0.82
article

Development of a site-screening method for hydrogen storage purposes and its application to an industrial dataset of Italian hydrocarbon reservoirs

S.E. Beaubien, Sabina Bigi, A. Da Pra, Riccardo Maria Ridolfi, S. Azzaro, M. Pontiggia
article en
4 citations

Abstract

A methodology is presented for the objective and transparent screening of hydrocarbon reservoirs for underground hydrogen storage (UHS), with subsequent testing on a large confidential dataset provided by the energy company Eni. The procedure uses the Analytic Hierarchy Process and the Delphi technique to gather expert opinions and weight 27 screening parameters in terms of: health, safety, and environment; geotechnical performance; and economic performance. A set of scores is produced that characterizes each site in terms of these three categories, as well as a comprehensive site ranking based on their overall suitability for UHS. The results highlight the importance of geotechnical parameters, while the characterization of faults and hydrocarbon type, the onshore or offshore location, the number of wells, and the reservoir architecture yielded the highest individual weights. Potential scores are also estimated for sites with incomplete datasets. Two blind tests evaluated the method's effectiveness against preexisting industrial assessments. • Screening and ranking of porous-media depleted hydrocarbon reservoirs for UHS. • Utilization of the AHP multi-criteria decision-making method for parameter weighting. • Application of the screening method to a large industrial dataset with blind tests. • Scoring of the HSE, geotechnical and economic performances of sites. • Site performance scoring for UHS site-screening.

International Journal of Hydrogen EnergyVol. 85
Eni (Italy) (IT), Sapienza University of Rome (IT)
Openalex Percentile: Top 31%
CO2 Sequestration and Geologic Interactions
0.82
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Development of a site-screening method for hydrogen storage purposes and its application to an industrial dataset of Italian hydrocarbon reservoirs — S.E. Beaubien, Sabina Bigi, et al. · International Journal of Hydrogen Energy (2024) | TGRS Research Map | TGRS