Assisted History-Matching for Fractured Reservoir Characterization, M.Sc. Thesis Sharif University of Technology ; Ayatollahi, Shahab (Supervisor) ; Masihi, Mohsen (Supervisor)
Abstract
Fracture reservoirs are highly heterogeneous. This heterogeneity makes the process of adjusting model parameters to match both the static geological and dynamic production data challenging. For this reason, the characterization of the fracture network of these reservoirs, which is achieved by finding the appropriate probability distributions of the fracture properties in the discrete fracture network model, requires the use of an integrated workflow for the process of history-matching.This thesis, presents an integrated workflow for the process of history-matching of naturally fractured reservoirs with field-scale performance capability. In this methodology, first, multiple discrete fracture...
Cataloging briefAssisted History-Matching for Fractured Reservoir Characterization, M.Sc. Thesis Sharif University of Technology ; Ayatollahi, Shahab (Supervisor) ; Masihi, Mohsen (Supervisor)
Abstract
Fracture reservoirs are highly heterogeneous. This heterogeneity makes the process of adjusting model parameters to match both the static geological and dynamic production data challenging. For this reason, the characterization of the fracture network of these reservoirs, which is achieved by finding the appropriate probability distributions of the fracture properties in the discrete fracture network model, requires the use of an integrated workflow for the process of history-matching.This thesis, presents an integrated workflow for the process of history-matching of naturally fractured reservoirs with field-scale performance capability. In this methodology, first, multiple discrete fracture...
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