Two live sessions are completed. Please scroll down to watch the videos from the recordings below. SEG members, view the course for free!

Abstract:

Land seismic data is often dramatically noisier than marine data. Processed images and attributes from land data can be severely degraded by this noise. The acquisition effort needed to address the noise is often the biggest cost factor and the biggest uncertainty with land seismic data.

Better understanding the physics of the complex noise generation can lead to better understanding and customization of the acquisition and processing to the noise types. We propose the following conclusions for many areas: 1) importance of micro-near surface effects, 2) much distortion of signal is more complex than the statics and SC-decon model, 3) you probably have more signal in your data than you think, 4) statistical noise removal has limits, 5) there is much value in coherent noise removal, 6) there is limited benefit to dense inline receiver spacing, 7) a better use of high channel counts may be an irregular layout, 8) limits of CSI-reconstruction approaches, 9) changes in surface moisture content can produce strong 4D noise for CCUS monitoring, 10) FWI has limited benefit in addressing the surface noise (but it has other good uses), and 11) specialized modeling of the noise in an area and testing methods to address it can be helpful.