New methodology to improve the optimization of intelligent well completion using production parameters in real-time.

• Ano de defesa: 2022
• Autor(a) principal: Schaefer, Bruno da Cruz
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: eng
• Instituição de defesa: Biblioteca Digitais de Teses e Dissertações da USP
• Palavras-chave em Português: Completação; Engenharia de petróleo; ICV; Intelligent well completion; Optimization; Reservatórios de petróleo; Reservoir simulation
• Link de acesso: https://www.teses.usp.br/teses/disponiveis/3/3134/tde-23032023-074058/

Intelligent well completion (IWC) has been successfully deployed over the last twenty years to improve reservoir management, with better results in heterogeneous reservoirs. Associating IWC with reservoir simulation usually results in economic gains for field development, along with challenges in optimizing ICV settings. This work proposes an efficient workflow to identify well candidates for interval control valves (ICV) application and production optimization using parameters in real time. From a net present value (NPV) quality map generated for the conventional completion base case, the methodology searches for potential reservoir layer grouping in the producer well, to control zonal flow, without expending too much computational time in valve positioning. ICV control strategy uses real-time production guide rates generated by the simulator, reducing optimization parameters. The proposed workflow was applied to two case studies in a five-spot configuration, using an extracted reservoir section of the UNISIM-II benchmark, which has similar properties to the Santos Basin Pre-Salt Cluster (SBPSC). Layer grouping was limited to three independent production zones, with one ICV for each zone, as operational aspects were considered in the study. The first case study used the simulator standard well structure, resulting in difficulties in bottomhole pressure (BHP) coupling among production zones, with a negative impact in methodology replicability for other scenarios. Well modeling was improved for the second case study, with CMGs iSegWell suite, that allowed for more detailed completion implementation in the simulator (wellbore modelling packer positioning, tubing string modelling, perforation-to-perforation pressure dependencies, tubing pressure drop, etc.). This novelty strategy for ICV modelling and real-time control delivered a significant reduction of 92% in optimization parameters, compared to a similar proactive strategy. Computational cost for the proposed new strategy remained at the same level of a common reactive approach of water cut (WCUT) monitoring and there was an increase of +14,32% in NPV compared to the base case. Results show that NPV and IWC economic gain are highly dependent on the economic scenario. Nevertheless, the methodology has potential for application in more complex simulations, with greater number of wells or optimization parameters, like multi-position or continuously variable position ICV.