Presented by: Sandra Allwork, Business Development Manager, Emerson E&P
Featured Domain: Processing and Imaging
Featured Product: EarthStudy 360
For comments or questions, please contact Sandra Allwork
This presentation describes the most recent evolution of Emerson’s revolutionary utilization of the Local Angle Domain to characterize subsurface features from seismic data. Knowing that the EarthStudy 360 system enables us to decompose the recorded seismic wavefield into full-azimuth directivity components, we will demonstrate the use of Principle Component Analysis (PCA) with its inherent compression, to derive principle directivities.
Ultimately, we will use the power of Deep Learning to classify these directivities into geometrical, indeed geological features such as faults, plus other identifiable components such as ambient noise or acquisition footprint. This method presents a more reliable method for separating these components, thus producing clearer stack images of the subsurface. They show superior results over previously unrivaled diffraction weighted stacks.