Depth Conversion And Associated Uncertainties Using Consistent Velocity Model: A Probabilistic Unified Model Based On Bayesian Approach

Foreword

“…A geostatistical approach for time-to-depth conversion of seismic horizons is often used in many geo-modelling projects. The more appropriate kriging method for this problem is the Bayesian Kriging method (Sandjivy and Shtuka, 2009). The Bayesian approach provides an excellent estimation, which is more general than the traditional kriging with external drift(s) and fits very well with the requirements for time-to-depth conversion of seismic horizons.…”

Detection of Permeable Bodies: From Laboratory Measurements to Seismic Measurements

“…No well being located in the 3D area, additional 2D lines have been recorded to calibrate 3D data on 3 wells situated outside of the 3D area. After migration, the seismic block is depth converted using consistent velocity model thanks to Bayesian kriging [17]. The velocity model is also used for estimating a Ik-Seis model in depth.…”

3D High Resolution Seismic Model in Depth - A Relevant Guide for the “Andra” Deep Geological Disposal Project

“…The more appropriate kriging method for this problem is the Bayesian Kriging (BK) (Sandjivy and Shtuka, 2009;Omre and Halvorsen, 1989;Omre, 1987). Bayesian approach provides an excellent estimator which is more general than the traditional kriging with external drift(s) and fits very well to the The input information for BK are:…”

“…A geostatistical approach for time-to-depth conversion of seismic horizons is often used in many geomodeling projects. The time-to-depth conversion of the selected seismic horizons by Bayesian kriging (Sandjivy and Shtuka, 2009) can be used to compute a time-to-depth conversion model at the time sampling rate (1 ms). The 3D depth conversion model and the 3D impedance block allow the computation of interval velocity and density blocks.…”