Desenvolvimento e gestão de plugin para análise econômica de arranjos conceituais de produção offshore

Abstract

The development of offshore fields in deep and ultra-deep waters involves substantial capital investment, high technical complexity, and long project cycles, making decisions taken in the early phases critical to the economic viability of the venture. In such projects, reservoir modeling, subsea engineering, and economic analysis are traditionally handled in a fragmented manner, requiring manual data transfers between separate tools and limiting the systematic exploration of development alternatives. This dissertation presents the development of a plugin between the reservoir simulation environment Petrel® and the conceptual engineering platform FLOCO® (Field Layout Concept Optimizer), with the objective of automating data transfer and expanding the technical-economic evaluation capacity of offshore field architectures. In the proposed workflow, the numerical simulators Eclipse® and Intersect®, accessed from within Petrel, are responsible for full dynamic reservoir simulation, producing production profiles, pressure curves, and productivity indices. These results are extracted by the plugin and transferred to FLOCO, which uses them to replace its internal reservoir engine with an Inverse Distance Weighting (IDW) interpolation, computing reservoir pressure over time directly from the numerically simulated production and injection curves. The developed methodology encompasses three operational workflows. Case 1 corresponds to a fully automated scenario, in which the plugin orchestrates, from within Petrel, both the execution of simulations and the conceptual evaluation in FLOCO. Case 2 adopts a disciplinary decoupling approach: the validated simulation cube is exported as an immutable input to FLOCO, while infrastructure configuration is carried out manually by conceptual or subsea engineering specialists. The results, centered on the validation of Case 2 as a proof of concept, demonstrate that the proposed integration is technically feasible: the interface developed in Petrel structures and validates the input data, transmission via API preserves the physical and geometric integrity of the model, and simulation scenarios are replicated automatically and traceably. The application of the plugin significantly accelerates the project screening phase, increases the number of evaluated scenarios, and enables early-stage anticipation of economic indicators associated with different field architectures.