Szczegóły publikacji
Opis bibliograficzny
Risk factor analysis for advanced underground gas storage in aquifers / Joanna LEWANDOWSKA-ŚMIERZCHALSKA, Rafał MATUŁA, Barbara ULIASZ-MISIAK, Krzysztof POLAŃSKI // Energy ; ISSN 0360-5442 . — 2026 — vol. 346 art. no. 140202, s. 1–16. — Bibliogr. s. 14–16, Abstr. — Publikacja dostępna online od: 2026-02-02
Autorzy (4)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 166333 |
|---|---|
| Data dodania do BaDAP | 2026-03-11 |
| Tekst źródłowy | URL |
| DOI | 10.1016/j.energy.2026.140202 |
| Rok publikacji | 2026 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Czasopismo/seria | Energy |
Abstract
Natural gas storage and CO2 sequestration in underground aquifers offer significant benefits for managing supply and demand dynamics, enhancing energy security, and supporting the transition to a zero-carbon economy. However, these systems carry inherent risks owing to geological uncertainties, infrastructure vulnerabilities, and operational challenges. This study examines the risk factors associated with advanced underground gas storage (UGS) in aquifers using fault tree analysis (FTA) and the analytical hierarchy process (AHP). Key risk drivers include management constraints, equipment and human failures, and geological uncertainties. Expert judgement supported by statistical methods (Sturges’ rule and the n-sigma principle) was applied to systematically reduce the number of adverse event scenarios and to identify the most relevant pathways leading to critical loss-of-containment events. The analysis shows that as underground gas storage systems become more complex, identifying the causes of critical containment loss becomes less intuitive and requires consideration of combined risk factors. At lower complexity levels, failures are mainly driven by geological conditions such as faults, fractures, and caprock properties. In more advanced systems, technical failures related to well integrity and cement sealing, as well as human and management-related factors, gain importance. In the most complex scenarios, critical events result from the interaction of geological, operational, and infrastructure-related mechanisms, demonstrating that containment loss arises from multiple interacting causes rather than a single dominant factor.
