The chapter attempts to produce a few guidelines for pressure prediction. These guidelines for best practices are divided into three broad categories: subsurface geological habitat for pore pressure (geology), physics of pore pressure generation (models), and technology for subsurface prediction (tools). An integrated workflow should satisfy four important criteria: (1) the model should be geologically consistent, conforming to the geologic history; (2) model variability should be constrained by bounds derived from physical understanding of the rocks; (3) the model should agree with all available data from wells and seismic measurement; and (4) modeling uncertainty should be rigorously quantified. The chapter describes various approches for uncertainty quantification for pore pressure prediction.

This chapter discusses technologies that yield geologically plausible and physically possible interval velocities from surface seismic data. The workflow is termed RPGVM, rock physics guided velocity modeling. The approach can be used on any algorithm for interval velocity computations – be it conventional or based on inversions such as tomography and FWI. The goal is to define the parameter base associated with a particular inversion approach so that the inferred velocity model is constrained by rock physics and bounds of pore pressure. Applications from the Gulf of Mexico and offshore India are described. The chapter shows the value of rock physics templates for deriving velocity models with anisotropic tomography.