Estimating low frequency spatial trends for reservoir characterization using multiscale data and models
نویسندگان
چکیده
Over the decades there have been important advances in high resolution reservoir characterization, including advances in seismic data acquisition, instrumentation, processing, inversion, and integration of different data. The need for high resolution characterization has been driven by the need to capture realistically and with increasing accuracy the complexity of the subsurface. Seismic imaging and inversion combined with geostatistical simulations conditioned to log data have shown great promise for mapping out spatial trends of fine-scale reservoir properties that are critical for reservoir flow simulation.
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