Convolutional seismic modelling is a very convenient and fast technique, widely used in geoscience. It is usually applied in the vertical dimension only, which is one of its shortcomings, leading to inaccurate modelling and restricting its applications. This talk concerns a simple pseudo-3D extension to the convolutional model which improves modelling of dipping events and the lateral resolution of seismic data. This same 3D operator, when used to invert images for elastic properties, can reduce artefacts and improve resolution.
This video is part of EAGE Online Education Programme.
The European Association of Geoscientists and Engineers (EAGE) is a global professional, non-profit association for geoscientists and engineers. EAGE strives to promote innovation and technical progress and aims to foster communication and cooperation between those working in, studying or interested in these fields. To learn more about EAGE Education visit www.LearningGeoscience.org
