What is it about?
Reflection seismic data interpretation is a tricky task that heavily relies on the interpreter's experience and geological/geophysical knowledge. The same subsurface image can lead to different interpretations, i.e. geological models. But seismic data themselves can provide the information required to make this process less subjective. We have chosen a particular attribute, i.e. a quantity that can be calculated from the seismic data, to drive the process and find a route to an automatic data interpretation.
Featured Image
Why is it important?
The identification and exploitation of natural resources as well as the prevention and monitoring of natural hazards require accurate subsurface models. Such models are nowadays based on always increasing amounts of data, among which seismic ones play a crucial role. The interpretation of large 3-D reflection seismic datasets is a challenging task and the solution we propose may help reduce time, costs and errors due to subjective bias.
Perspectives
Accuracy, detail and quantitative information from subsurface images and models are constantly increasing. Automatic interpretation methods will greatly help such evolution. The proposed method is robust and effective as proved by the application to different types of data. It is a good basis for future developments.
prof. michele pipan
university of Trieste
Read the Original
This page is a summary of: Automated phase attribute-based picking applied to reflection seismics, Geophysics, March 2016, Society of Exploration Geophysicists,
DOI: 10.1190/geo2015-0333.1.
You can read the full text:
Contributors
The following have contributed to this page
