Autor(es)

Mirzaei-Paiaman, Abouzar ; Santos, Susana M. G. ; Schiozer, Denis J.

• Tipo de documento: Artigo Científico
• Fonte: GEOENERGY SCIENCE AND ENGINEERING; v. 227, p. 18-pg., 2023-08-01.

Resumo

This paper focuses on life-cycle optimization of oil field development plan under uncertainty. The optimization problem included a wide range of design variables and control rules related to wells and platform in a realistic benchmark case (UNISIM-II-D) with a known ground truth reservoir model, UNISIM-II-R, that resembles Brazilian pre-salt fractured carbonate reservoirs in their early development stage. The design variables were the number and location of wells, the fluid processing capacity of the platform, and the location of internal control valves (ICVs), whereas the control rules were the setting of ICVs, production and injection rates, and the duration of the water-alternating-gas (WAG-CO2) cycle. An iterative sequential optimization framework was developed to deal with the massive search space and complex parameterization. The optimization further took into consid-eration the subsurface, operational and economic uncertainties, and used iterative discrete Latin hypercube method as the search algorithm. The robust optimization was carried out on a subset of representative models derived from the reduction of a large ensemble of data-assimilated models. As a low-fidelity representation of the compositional fluid model, a black-oil model was used to reduce simulation runtime. To validate our optimi-zation framework, we applied the optimal development strategy to the ensemble of compositional simulation models, as well as the ground truth model. The true model's responses were within the ranges predicted by the compositional ensemble, confirming the optimization framework's reliability. The general methodology devel-oped in this study, as well as our findings, can be used to optimize other similar real-world complex and high-risk field development projects, and are especially useful in closed-loop field development and management practices. (AU)

• Processo FAPESP: 17/15736-3 - Centro de Pesquisa em Engenharia em Reservatórios e Gerenciamento de Produção de Petróleo
• Beneficiário: Denis José Schiozer
• Modalidade de apoio: Auxílio à Pesquisa - Programa Centros de Pesquisa Aplicada
• Processo FAPESP: 19/06101-0 - Avaliação de poços inteligentes no gerenciamento de reservatórios em malha fechada baseado em modelos
• Beneficiário: Abouzar Mirzaei Paiaman
• Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado