Szczegóły publikacji
Opis bibliograficzny
The well trajectory design workflow for optimization of geothermal resources development / D. JANIGA, P. WOJNAROWSKI, E. Hernandez, J. Pogacnik, V. Harcouet-Menou, T. KAWIAK, M. STOLARCZYK, J. Wojnarowski // W: 86th EAGE annual conference & exhibition [Dokument elektroniczny] : June 2–5, 2025, Toulouse, France. — Wersja do Windows. — Dane tekstowe. — [Netherlands] : European Association of Geoscientists & Engineers, 2025. — S. 1–5. — Wymagania systemowe: Adobe Reader. — Tryb dostępu: https://www.earthdoc.org/content/papers/10.3997/2214-4609.202... [2025-07-09]. — Bibliogr., Summ. — Publikacja dostępna online od: 2025-06-02
Autorzy (8)
- AGHJaniga Damian
- AGHWojnarowski Paweł
- Hernandez Edgar
- Pogacnik Justin
- Harcouet-Menou Virginie
- AGHKawiak Tomasz
- AGHStolarczyk Marcin
- Wojnarowski Józef
Dane bibliometryczne
| ID BaDAP | 161017 |
|---|---|
| Data dodania do BaDAP | 2025-07-18 |
| DOI | 10.3997/2214-4609.202510682 |
| Rok publikacji | 2025 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
Abstract
Proper management of a geothermal reservoir is crucial to minimize the risks associated with the exploitation process. This requires analyzing a range of data and choosing the right solution, often in relation to parameters that change dynamically, such as, for example, the risk of induced seismic events during the preparation and exploitation of geothermal reservoirs near urban areas. This process can be facilitated by a set of tools based on optimization algorithms. This paper presents the idea of a comprehensive approach to the multiobjective optimization of well trajectories tailored for geothermal reservoir applications with a high possibility of induced seismic events, focusing on maximizing heat production and minimizing seismic events. Our approach introduces a novel integration of advanced optimization techniques, such as genetic algorithms and evolutionary strategies, to identify Pareto-optimal solutions with a thermo-hydro-mechanical simulator. This innovative model reduces bias towards the best solution and provides a balanced trade-off between competing objectives. This study outlines the assumptions and algorithm of the well design procedure to optimize the development of a geothermal reservoir using thermo-hydro-mechanical simulation. The algorithm allows adjusting the location, trajectory, and perforation of the well depending on the constraints defined in the optimization problem.
