@article{eage:/content/journals/10.1144/petgeo2018-136, author = "Spooner, Victoria and Geiger, Sebastian and Arnold, Dan", title = "Flow diagnostics for naturally fractured reservoirs", journal= "Petroleum Geoscience", year = "2019", volume = "25", number = "4", pages = "490-500", doi = "https://doi.org/10.1144/petgeo2018-136", url = "https://www.earthdoc.org/content/journals/10.1144/petgeo2018-136", publisher = "European Association of Geoscientists & Engineers", issn = "1354-0793", type = "Journal Article", abstract = "Reliable production forecasting for fractured carbonate reservoirs is a challenge. Natural fractures, adverse wettability and complex matrix heterogeneity are all uncertain and can all negatively impact upon recovery. Ideally, we should consider different reservoir concepts encapsulated in a large ensemble of reservoir models to quantify the impact of these and other geological uncertainties on reservoir performance. However, the computational cost of considering many scenarios can be significant, especially for dual porosity/permeability models, rendering robust uncertainty quantification impractical for most asset teams. Flow diagnostics provide a complement to full-physics simulations for comparing models. Flow diagnostics approximate the dynamic response of the reservoir in seconds. In this paper we describe the extension of flow diagnostics to dual porosity models for naturally fractured reservoirs. Our new diagnostic tools link the advective time of flight in the fractures to the transfer from the matrix, identifying regions where transfer and flux are not in balance leading to poor matrix oil sweep and early breakthrough. Our new diagnostics tools have been applied to a real field case and are shown to compare well with full-physics simulation results. Thematic collection: This article is part of the Naturally Fractured Reservoirs collection available at: https://www.lyellcollection.org/cc/naturally-fractured-reservoirs ", }