Sorry, you need to enable JavaScript to visit this website.

facebooktwittermailshare

Interactive Fault Extraction in 3D Seismic Data Using the Hough Transform and Tracking Vectors

Abstract: 

The exploration of reservoir regions has a close relationship with the localization of faults. Although faults can be labeled in seismic volumes by experienced interpreters, such manual interpretation is inefficient when dealing with a dramatically growing amount of collected seismic data. To speed up the interpretation efficiency of faults, in this paper, we propose a method that semi-automatically detects fault surfaces using the Hough transform as well as tracking vectors. In the proposed method, we classify seismic sections into reference and predicted ones by borrowing the concept of I- and B-frames in video-coding techniques. For these two types of seismic sections, we introduce different strategies to delineate faults. In reference sections, we first highlight likely fault regions from corresponding coherence maps and apply the Hough transform to extract the features of faults. After removing false features, we optimally connect remaining features under the constraints of coherence maps. Since the accuracy of fault detection in reference sections depends highly on several parameters, to avoid replicating the tweaking of parameters in all seismic sections, we propose tracking detected faults in reference sections through remaining predicted sections, in which faults are labeled based on estimated tracking vectors and geological constraints. To evaluate the performance of the proposed method, we introduce a fault similarity (FauSIM) index that describes the similarity between detected faults and manually picked faults. The FauSIM index based on the Fr\'echet distance focuses on both the local and global comparisons of faults. Experimental results show that the proposed method has the capability to accurately detect faults in seismic sections, and the tracking process improves interpretation efficiency by eliminating tweaked parameters. In addition, comparisons between faults delineated by various methods and faults manually picked show that the FauSIM index is highly correlated with interpreters' subjective perception.

up
0 users have voted:

Paper Details

Authors:
Zhen Wang, Ghassan AlRegib
Submitted On:
11 September 2017 - 4:29pm
Short Link:
Type:
Poster
Event:
Presenter's Name:
Ghassan AlRegib
Paper Code:
ICIP-WA-PE.7
Document Year:
2017
Cite

Document Files

2017ICIP_poster_Fault_Interpretation_Zhen.pdf

(20 downloads)

Subscribe

[1] Zhen Wang, Ghassan AlRegib, "Interactive Fault Extraction in 3D Seismic Data Using the Hough Transform and Tracking Vectors", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1917. Accessed: Nov. 24, 2017.
@article{1917-17,
url = {http://sigport.org/1917},
author = {Zhen Wang; Ghassan AlRegib },
publisher = {IEEE SigPort},
title = {Interactive Fault Extraction in 3D Seismic Data Using the Hough Transform and Tracking Vectors},
year = {2017} }
TY - EJOUR
T1 - Interactive Fault Extraction in 3D Seismic Data Using the Hough Transform and Tracking Vectors
AU - Zhen Wang; Ghassan AlRegib
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1917
ER -
Zhen Wang, Ghassan AlRegib. (2017). Interactive Fault Extraction in 3D Seismic Data Using the Hough Transform and Tracking Vectors. IEEE SigPort. http://sigport.org/1917
Zhen Wang, Ghassan AlRegib, 2017. Interactive Fault Extraction in 3D Seismic Data Using the Hough Transform and Tracking Vectors. Available at: http://sigport.org/1917.
Zhen Wang, Ghassan AlRegib. (2017). "Interactive Fault Extraction in 3D Seismic Data Using the Hough Transform and Tracking Vectors." Web.
1. Zhen Wang, Ghassan AlRegib. Interactive Fault Extraction in 3D Seismic Data Using the Hough Transform and Tracking Vectors [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1917