oa Quantifying Uncertainty in Depth Imaging : Case Histories

Acceptance by geophysicists to discuss the reliability of the subsurface and O&G reservoir images they produce in terms of uncertainty is a major breakthrough for the industry Quantifying Uncertainty in Depth imaging is then directly linked to Quantifying Confidence in SubSurface and Reservoir models supporting multi million dollars E&P decisions. Uncertainty on seismic processing and imaging uncertainty cannot be properly quantified by geophysical processes solving inverse problems, but only by kriging algorithms specific to seismic processing, solving reservoir estimation problems. Further and deeper integration of Kriging algorithms in geophysical processing and imaging processes will certainly lead to significant optimization of the parametrization of the geophysical processes and to quantified improvement of E&P project performance