Full text loading...
-
Solving Problems with the Discrete Smooth Interpolation Framework, from Geomodelling to Geophysics and Beyond
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, First EAGE Digitalization Conference and Exhibition, Nov 2020, Volume 2020, p.1 - 5
Abstract
A number of algorithms developed in geomodelling software rely on the Discrete Smooth Interpolation (DSI) method, a mathematical framework which enables interpolation of sparse values with geological and geophysical constraints on any type of discrete models such as triangulated surfaces or volumetric grids. Leaning perhaps more towards data integration than machine learning, this powerful tool is also evolving as part of our digital transformation. Today’s dynamic environment is favourable to building upon DSI’s principles and ability to add geological or physical concepts as constraints in discrete models.
DSI already offers solutions to many geomodelling problems as part of a successful commercial software suite. The Fourth Industrial Revolution is an opportunity to rejuvenate DSI by lifting it out of the geomodelling toolkit and making it available as a separate entity for any scientist to use, as a seamless and invisible link between linear equations and elegant solutions.
In this paper, we first review the Discrete Smooth Interpolation theory, then show how we currently apply it to various geomodelling problems and finally, we look towards its future in helping us solve our digital challenges in different domains.