3D Horizon tracking using artificial neural networks

Abstract

Seismic surveys are now routinely carried out in three dimensions, resulting in large volumes of high-resolution seismic data, increasing the workload of an interpreter. An automatic tracker that uses the pattem recognition capabilities of artificial neural networks has been developed which enables horizons to be tracked in three dimensions with little input from an interpreter, thus allowing more time to be spent on geologically complex areas.