Carbonate reservoir characterization is challenged by strong heterogeneities and diagenetic features such as fractures and karsts, which affect well-connectivity knowledge critical for drainage and recovery planning. The complete paper applies fuzzy logic, a well-established artificial-intelligence technique, to assess connectivity between injectors and producers quantitatively in a giant presalt field in the Santos Basin of Brazil. Using field data, the fuzzy system fuses qualitative expert insights into a quantitative connectivity index. The results support local model adjustments and fieldwide injection strategies, improving reservoir management.
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