Szczegóły publikacji
Opis bibliograficzny
Uncertainty quantification in reservoir simulation using modern data assimilation algorithm / Tomasz TUCZYŃSKI, Jerzy STOPA // Energies [Dokument elektroniczny]. — Czasopismo elektroniczne ; ISSN 1996-1073. — 2023 — vol. 16 iss. 3 art. no. 1153, s. 1–16. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 15–16, Abstr. — Publikacja dostępna online od: 2023-01-20. — T. Tuczyński - dod. afiliacja: PGNiG Upstream Norway AS, Stavanger, Norway
Autorzy (2)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 146115 |
|---|---|
| Data dodania do BaDAP | 2023-04-03 |
| Tekst źródłowy | URL |
| DOI | 10.3390/en16031153 |
| Rok publikacji | 2023 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Creative Commons | |
| Czasopismo/seria | Energies |
Abstract
Production forecasting using numerical simulation has become a standard in the oil and gas industry. The model construction process requires an explicit definition of multiple uncertain parameters; thus, the outcome of the modelling is also uncertain. For the reservoirs with production data, the uncertainty can be reduced by history-matching. However, the manual matching procedure is time-consuming and usually generates one deterministic realization. Due to the ill-posed nature of the calibration process, the uncertainty cannot be captured sufficiently with only one simulation model. In this paper, the uncertainty quantification process carried out for a gas-condensate reservoir is described. The ensemble-based uncertainty approach was used with the ES-MDA algorithm, conditioning the models to the observed data. Along with the results, the author described the solutions proposed to improve the algorithm’s efficiency and to analyze the factors controlling modelling uncertainty. As a part of the calibration process, various geological hypotheses regarding the presence of an active aquifer were verified, leading to important observations about the drive mechanism of the analyzed reservoir.
