Publication Name: Australasian Exploration Geoscience Conference 2019
Authors: Tasman Gillfeather-Clark*, Eun-Jung Holden, Daniel Wedge, Tom Horrocks, Carlie Byrne, Matthew Lawrence
Date Published: September 2019
Number of Pages: 5
Abstract:
Seismic data processing and analysis focuses on identifying the arrival of seismic waves or ‘first-breaks’. The identification of the arrival of first breaks is complicated by the variance of recording quality typically found across the dataset. In an exploration setting, models need to be developed and refined multiple times. Picking these first breaks then becomes time consuming, limiting the interpreter to processing their dataset rather than considering the implications of their model. Machine Learning as a field continues to respond to many data centric issues within geoscience. However, the field as a whole continues to grapple with balancing the power of these new techniques against operator expertise and skill.