Advanced Embedded Discrete Fracture Network Modeling in a Complex Carbonate Reservoir: A Case Study from Abu Dhabi

Abstract Fractured reservoirs present distinct challenges in the oil and gas industry due to their intricate origin and the dynamics of fluid flow within them. Successfully modeling these reservoirs entails surmounting multiple obstacles, such as delineating complex fracture networks, comprehending dual-porosity flow, and addressing scale dependencies. In this study we detail the application and assessment of innovative simulation algorithms tailored for fractured reservoirs within a complex, tight, and fractured carbonate reservoir located in Abu Dhabi, United Arab Emirates. The reservoir, with more than 15 years of production history and 17 wells, has production from both matrix and fractured zones. Leveraging image log and other fracture drivers, a discrete fracture network (DFN) model has been constructed, considering the tectonic history of the basin. The reservoir was simulated using the embedded discrete fracture modeling (EDFM) approach. In this method, fractures are represented as discrete entities, each modeled with specific geometry, orientation, and properties, embedded within a porous matrix characterized by distinct properties. By honoring the fracture geometry and fluid flow behaviors, EDFM modeling has become a versatile tool for simulating fractured reservoirs. It optimizes production strategies, identifies sweet spots, and improves hydraulic fracturing designs, ultimately enhancing recovery rates and economic viability.