Abstract

Pore-pressure prediction employs a broad range of methodologies to estimate fluid pressures including porosity and depth-based trends, seismic velocities, and multivariate regressions. Model building is typically characterized by an iterative sequence that includes model identification, calibration, selection, and diagnostic checking. To predict effective stress and pore pressure, practitioners apply a diverse set of functional forms that relate velocities and fluid pressures, using, in addition to seismic velocity, predictive variables like porosity, depth, temperature, etc.

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