Flow Diagnostics for use in Reservoir Management

Flow Diagnostics for use in Reservoir Management

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Abstract

Flow-diagnostics, as referred to herein, are computational tools based on controlled numerical flow experiments that yield quantitative information regarding the flow behavior of a reservoir model in settings much simpler than would be encountered in the actual field. In contrast to output from traditional reservoir simulators, flow diagnostic measures can be obtained within seconds. The methodology can be used to evaluate, rank and/or compare realizations or strategies, and the computational speed makes it ideal for interactive visualization output. We also consider application of flow diagnostics as proxies in optimization of reservoir management workflows. In particular, based on finite volume discretizations for pressure, time-of-flight (TOF) and stationary tracer, we efficiently compute general Lorenz coefficients (and variants) which are shown to correlate well with simulated recovery. For efficient optimization, we develop an adjoint code for gradient computations of the considered flow diagnostic measures. We present several numerical examples including optimization of rates, well-placements and drilling sequences for two and three phase synthetic and real field models. Overall, optimizing the diagnostic measures imply substantial improvement in simulation-based objective
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