Workshop 3

Compressive sensing principles and applications for seismic data acquisition and processing Friday June 14th | Room 8

Convenors

  • David Le Meur (CGG)
  • Constantinos Tsingas (Saudi Aramco)
  • Keith Millis (OXY)
  • Claudio Bagaini (SLB)

Description

In the last decade, the oil and gas industry faced to a tsunami of seismic data volumes acquired by massive seismic crews and processed by large arrays of GPU/CPU clusters. Compressive Sensing (CS) has introduced a new paradigm of seismic wavefield sampling. Therefore, using (CS) principles provide new perspectives for non-uniform surface sampling that aims to reduce acquisition cost and cycle time compared to current conventional practices. The event of these new types of acquisition using blended acquisition coupled or not with an irregular spatially sampled questioned our needs of innovative compressive sensing approaches to improve our time and depth imaging. Usually, compressive sensing techniques allowed to reconstruct, with sparsity promoting inversion techniques, an irregularly spatially sampled signal in a specific transform domain. The main purpose of this workshop will be to discuss applications or later advances in such topic as acquisition, denoising, multi-dimensional interpolation and reconstruction, deblending or any other interesting topics that could be applied on land, transition zone or marine data.

Sub-Topics that will be covered in the workshop:

Topics we would like to discuss during this workshop could be related to acquisition design, deblending issues, multi- dimensional interpolation, and reconstruction approaches.

We will be opened to contributions coming from acquisition side, methodology through case studies, or new algorithms to process such type of data.

Participant Profile

The workshop will span topics that will be of interest to experienced practitioners as well as students and young professionals. We invite attendees both from industry and academia. Participants could contribute to this workshop through description of new algorithms, acquisition design, methodologies and/or case studies to share ideas, challenges, or new perspectives on the compressive sensing principles.

Workshop Programme

TimeActivity
08:30Welcome – HSE – All Chairmen
08:40Challenges of the session – Chairman: D. Le Meur
08:50Regularization by denoising (RED) and applications to data reconstruction - M. Sacchi (University of Alberta)
09:10Survey design of receiver carpets based on compressive sensing principles: lessons learned from the Metis© project – A. Guitton (TotalEnergies)
09:30Global acquisition geometry optimization with 5D constraints with spectral gap – M. Vassallo (SLB)
09:50Wrap-up Session 1
10:10Coffee Break
10:30Challenges of the session - Chairman: C. Bagaini
10:40Source compressive sensing implementation in the Sultanate of Oman for large-scale land seismic acquisition– T. Al Wadhabi (PDO)
11:00Compressive Sensing Testing and Ultra-Dense Survey Design- S. A. Al Messabi (ADNOC)
11:20Compressive sensing principles applied to DSA seismic data - A. Alfaraj (Saudi Aramco)
11:40Wrap-up Session 2
12:00Lunch Break
13:00Challenges of the session - Chairman: Ali Alfaraj
13:10Normalizing Flows for Bayesian Experimental Design in Imaging Applications - F. Herrmann (Georgia Institute)
13:30Rank Reduced and Sparse interpolation for seismic signal irregularly sampled in space - L. Pesudo (CGG)
13:50Data Domain and Joint Domain Compressive Sensing - Y. Zhang (BGP)
14:10 Large-scale Decimation of Acquisition Geometry through Compressive Sensing - G. Warren (Occidental Petroleum)
14:30Wrap-up Session 3
14:50Final Wrap-up of the workshop
15:20Final Coffee Break