Delivery-Extractor: A new open-source waveletextraction and well tie program

摘要

We present a new open-source Bayesian wavelet extraction program "Delivery-Extractor" forrnderiving wavelets from seismic and well-log information. This code is designed to complement thernopen-source model-based Bayesian inversion code Delivery 1 introduced at the Stavanger EAGE. Ourrnprogram approaches the well-tie problem from a Bayesian view, which is the most natural way tornintegrate prior knowledge about the well tie in the form of marker constraints, checkshot data, phasernprejudices, and plausible interval velocities. The code can perform simultaneous extractions atrnmultiple (possibly deviated) wells, for multiple offsets in AVO applications (using a linearizedrnZoeppritz reflectivity), and can estimate additional uncertainty parameters such as time-registrationrnerrors for stacks or well-location errors caused by imaging problems. The code produces distributionrndetails for the mis-tie (noise) amplitude, which is critical for inversion studies, and can producernmultiple realisations of the extracted wavelets from the Bayesian posterior, showing the uncertainty inrnthe wavelet scaling and extent, the time-to-depth map, and the noise parameters for each stack.