AUTOMATED CLUSTER SELECTION FOR DOWNHOLE GEOSTEERING APPLICATIONS
Abstract:
System and methods for geosteering inversion are provided. Downhole tool responses are predicted for different points along a planned path of a wellbore during a downhole operation, based on each of a plurality of inversion models. Measurements of the downhole tool's actual responses are obtained as the wellbore is drilled over the different points during a current stage of the operation. The inversion models are then clustered using a weighted clustering approached in which a weighted score system is formulated to apply a standard deviation, number of models, and/or misfit of each cluster as key parameters, and used to evaluate the clusters accordingly. The corresponding scores are computed and used to select clusters. The planned wellbore path is adjusted for the subsequent stage(s) of the downhole operation.
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