Joint Inference of Porosity and Saturation from Multiple Well Logs

G003 JOINT INFERENCE OF POROSITY AND SATURATION FROM MULTIPLE WELL LOGS Abstract 1 We present a methodology for simultaneous inference of porosity and saturation based on the Bayesian probability theory. The methodology is used to invert a set of wireline logs consisting of porosity (φ) density (ρ) P-wave (α) and S-wave (β) velocity and resistivity (R) logs. The formal solution of a Bayesian calculation is a joint posterior distribution for porosity and saturation which takes into account data uncertainties and prior information from rock physics including clay content matrix mineralogy and pressure. Synthetic and real data examples show how the