Center for Signal and Information Processing (CSIP) Seminar

*********************************
There is now a CONTENT FREEZE for Mercury while we switch to a new platform. It began on Friday, March 10 at 6pm and will end on Wednesday, March 15 at noon. No new content can be created during this time, but all material in the system as of the beginning of the freeze will be migrated to the new platform, including users and groups. Functionally the new site is identical to the old one. webteam@gatech.edu
*********************************

Event Details
  • Date/Time:
    • Friday April 6, 2018 - Saturday April 7, 2018
      3:00 pm - 3:59 pm
  • Location: Room 5126, Centergy One Building
  • Phone:
  • URL:
  • Email:
  • Fee(s):
    N/A
  • Extras:
    Free food
Contact

Motaz Alfarraj

motaz@gatech.edu

 

Summaries

Summary Sentence: Computational Seismic Interpretation using Attention Models, Texture Dissimilarity, and Machine Learning

Full Summary: Computational Seismic Interpretation using Attention Models, Texture Dissimilarity, and Machine Learning

Speaker: Muhammad Amir Shafiq, Ph.D. Candidate, Georgia Institute of Technology

Title: Computational Seismic Interpretation using Attention Models, Texture Dissimilarity, and Machine Learning

Abstract:
Establishing a close correspondence between seismic interpretation and the area geology is a key prerequisite of any successful exploration and production project. Large geological structures such as salt domes, faults, and anticlines are closely associated with huge reservoirs of oil and gas. Manual delineation of such features is not only extremely time consuming but also very labor intensive. In this talk, I will give an overview of novel seismic attributes based on visual attention theory, texture dissimilarity, and unsupervised machine learning to quantify changes and highlight seismic features in a three-dimensional (3D) space.  To automate the process of seismic interpretation, I will introduce interpreter-assisted, fully-, and semi-automated workflows that are interactive and easy-to-use for the delineation of important geological structures within seismic volumes. Experimental results on real and synthetic datasets show that our proposed algorithms outperform the state-of-the-art methods for seismic interpretation. The proposed research is expected to not only reduce the time for seismic interpretation but also become a handy tool in the interpreter's toolbox for detecting and delineating important geological structures.

Speakers Bio:
Muhammad Amir Shafiq received his B.Sc. degree in Electrical Engineering from the University of Engineering and Technology, Taxila, Pakistan in 2006. At Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Topi, Pakistan he completed his M.S in Electronics Engineering in 2008. His work at National Engineering and Scientific Commission from 2008 to 2014 was related to signal processing, embedded systems and real-time implementations. Currently, he is a Fulbright PhD scholar at Georgia Institute of Technology working under the supervision of Prof. Ghassan AlRegib in the Center for Energy and Geo Processing. His research interests include digital signal and image processing, machine learning, and seismic interpretation.

Additional Information

In Campus Calendar
No
Groups

School of Electrical and Computer Engineering

Invited Audience
Faculty/Staff, Graduate students, Undergraduate students
Categories
Seminar/Lecture/Colloquium
Keywords
No keywords were submitted.
Status
  • Created By: Ashlee Gardner
  • Workflow Status: Error
  • Created On: Mar 29, 2018 - 2:48pm
  • Last Updated: Mar 29, 2018 - 2:48pm