Research | Center for Energy & Geo Processing In-Field Processing for Seismic Data | Research | Center for Energy & Geo Processing

In-Field Processing for Seismic Data | Research | Center for Energy & Geo Processing

The traditional seismic acquisition systems use passive recording devices and place all the processing at the data centers, hence require lots of data to be transferred from sensors to the recording systems. The trend for the future generations of seismic data acquisition is to have 1. Large scale seismic acquisition, which will produce a large amount of data to be collected daily, 2. Real time acquisition and quality assessment, and 3. Automation and adaptive seismic acquisition. Since cabling and labor costs constitute more than half of the costs of seismic acquisition, we propose to explore wireless seismic data acquisition. To meet the bandwidth and latency challenges, we propose to deviate from the traditional systems, by placing intelligence at the field by employing some processing power in the sensors.

In this project, we investigate data compression techniques in the field for the transfer and storage of large scale seismic data via wireless networks. Specifically, we propose removing inter and intra trace redundancies (i.e., temporal and spatial correlations) in universal and distributed manner, without requiring any coordination among sensors. The premise of our proposed approach lies on learning from the seismic data on the go and utilizing this knowledge toward universal (near) lossless compression of the original traces. This approach is designed to address the key constraints of the network and recording system while maintaining the desirable objectives (e.g., locality of traces).


The Team:

Name Title Affiliation
Dr. Faramarz Fekri Professor School of Electrical and Computer Engineering, Georgia Tech
Dr. Salam Zummo Professor Electrical Engineering Department, KFUPM
Dr. Mohamed Mohandes Associate Professor Electrical Engineering Department, KFUPM
Dr. Mohamed Deriche Associate Professor Electrical Engineering Department, KFUPM
Dr. Sultan Al-Muhammadi Assistant Professor Information & Computer Science Department, KFUPM
Dr. Entao Liu Post-Doctoral Fellow School of Electrical and Computer Engineering, Georgia Tech
Dr. Xin Tian Visiting Faculty School of Electronic Information, Wuhan University
Dr. Bo Liu Post-Doctoral Fellow Electrical Engineering Department, KFUPM
Afshin Abdi Graduate Student School of Electrical and Computer Engineering, Georgia Tech
Ali Payani Graduate Student School of Electrical and Computer Engineering, Georgia Tech
Hilal Nuha Graduate Student Electrical Engineering Department, KFUPM
Hamood Rehman Khan Graduate Student Electrical Engineering Department, KFUPM
Zixi Huang Undergraduate Student School of Electrical and Computer Engineering, Georgia Tech