Pre-Stack Synthetic Modelling Using Neural Network QC on Dipole Shear Sonic Imager Data

P-018 Pre-stack synthetic modelling using neural network QC on dipole shear sonic imager data Summary A new quality control technique was developed for validating Dipole Shear Sonic Imager (DSI) data. The neural network QC technique was applied to well data from a field in Yemen. Velocity logs need to be checked on their reliability before any well match is made. The shear wave information together with conventional sonic and density logs served as input for the full waveform elastic prestack seismic modelling of the reservoir sequence. The objective was to make the best possible wellto-seismic match with fast and full