oa Quantifying Depth Uncertainties below Complex Overburden of Low Velocity Channels

Complex overburdens of low velocity channels can obscure depth imaging due to their heterogeneous nature and lateral velocity variation. Such overburden may cause undesired effects in the form of travel-time pull-down (sag) and possible energy absorption. In depth imaging, the velocity model pertaining to such overburden is of vital importance to bring the objective level(s) to the appropriate image and the depth of reflectors. The aim of this work is to quantify the depth uncertainty using stochastic time to depth conversion method that would span the range of uncertainties of the depth maps underneath such complex overburden which shall enable full range of depth realizations to be generated, gross bulk volume (GBV) ranking that better quantifies the range of uncertainties and subsequently impacts hydrocarbon volumetric estimations.