StatMod® performs single stack geostatistical reservoir characterization to produce multiple predictive fine scale reservoir models that are consistent across all pertinent geoscience domains. This degree of cross-domain consistency ensures that reservoir models are realistic and maximizes the value of all measured data and inferred information. In addition, these reservoir models remain accurate away from the available well control where reliability of conventional stochastic models typically suffers. StatMod is relevant where single parameter like P-Impedance is sufficient to distinguish the facies of interest.
StatMod yields far greater vertical detail than available from standard seismic inversions. It integrates vertically high resolution well data with low resolution 3D seismic, and provides high vertical detail near and away from well control. It generates reservoir models with geologically plausible shapes and provides a clear quantification of uncertainty to assess risk. Highly-detailed petrophysical models are generated, ready for input to reservoir flow simulation.
StatMod combines geostatistics and advanced statistical physics with innovative seismic inversion methods to integrate disparate data from multiple sources and generate reservoir models that can be used to reliably quantify uncertainty for risk assessment and reduction. StatMod goes beyond traditional geostatistics and seismic inversion to:
With StatMod, geologists, geophysicists and other geoscientists can build highly detailed realistic 3D numerical reservoir models with more accurate estimates of uncertainty and less bias.
StatMod simultaneously inverts for impedance and discrete property types, or lithofacies, instead of taking a two-step approach as is done by conventional inversion and geomodeling algorithms. Not only does simulating lithofacies and impedance realizations in one sweep instead of sequentially saves time and enhances the accuracy of the results. Once such highly detailed models of impedance and lithofacies have been generated, any number of additional petrophysical properties (e.g. porosity) can be jointly cosimulated from them.
The way StatMod conceptually works is deceptively simple and consists of the following steps:
Geostatistical Inversion makes it possible to generate multiple predictions, each of which honors the known input information and is a plausible model of what the reservoir might look like. This is a significant advantage. Multiple plausible predictions provide an intuitive understanding of uncertainty associated with any given model.
An accurate understanding of uncertainty is critical for risk assessment, scenario analyses and sensitivity analyses. These evaluations depend on the ability to identify which data sources are most likely to reduce the overall uncertainty prediction and to properly weight redundant data. For example, well data is almost always preferentially clustered in higher pay areas. The redundancy of the information coming from such wells needs to be properly accounted for in order to avoid biasing the predictions. Once uncertainty is adequately captured, different realizations and scenarios can be ranked--only then can risk be evaluated and informed decisions be made.
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