Paper Info
Title
Salt Dome Detection Using Context-Aware Saliency
Abstract
This work presents a method for salt dome detection in seismic images based on a Context-Aware Saliency (CAS) detection model. Seismic data can easily add up to hundred of gigabytes and terabytes in size. However, the key features or structural information that are of interest to the seismic interpreters are quite few. These features include salt domes, fault and other geological features that have the potential of indicating the presence of oil reservoir. A new method for extracting the most perceptual relevant features in seismic images based on the CAS model is proposed. The efficiency of this method in detecting the most salient structures in a seismic image such as salt dome is demonstrated through a series of experiment on real data set with various spatial contents.
Year
DOI
Venue
2020
10.23919/Eusipco47968.2020.9287538
28TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO 2020)
DocType
ISSN
Citations 
Conference
2076-1465
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Abdulmajid Lawal100.34
Qadri Mayyala200.68
Azzedine Zerguine334351.98
Azeddine Beghdadi400.34