3-5 Dec 2018
Kuwait City, Kuwait
Over the last five decades, seismic data acquisition technology has advanced dramatically. The industry moved from acquiring 2D profiles to 3D surveys, initially in relatively sparse configurations. More recently we have seen very large channel count systems and modern vibroseis sources enabling large energy and broadband sweeps, in addition to high density, long offset and full azimuth surveys to be acquired cost effectively.
At the same time seismic data processing has moved from trying to ‘fix up’ problems in acquisition towards a significant drive in technologies that try to take advantage of a seismic wavefield that is being sampled more completely. Surface and guided wave arrivals that were previously viewed only as noise can now be used to build accurate near-surface models, as they are no longer recorded aliased or distorted by receiver arrays. Lower frequencies, generated by modern vibroseis controllers and emitted into the ground by improved vibrator mechanics and hydraulics, can now be used by full-waveform inversion algorithms to produce velocity models with spatial wavenumbers previously not seen. These models are ideal for wave equation based migration algorithms such as Reverse Time Migration that can take full advantage of such detail in the velocity model resulting in substantial enhancements to imaging products.
While many of these “new” algorithms have existed for decades in the academic world, it has only recently become practical to apply them to large and dense 3D datasets. The success with better physics is enabled by both better sampling of the wavefield and a massive increase in compute power: CPU/GPU (Graphics Processing Unit) speed, distributed computing cluster architectures, and cloud computing systems allowing the efficient use of highly parallelized software algorithms.
- Chair - Adel El-Emam, Kuwait Oil Company
- Co-Chair - Mohammad Otaibi, Saudi Aramco
- Chris Koeninger, WesternGeco
- David Le Meur, CGG
- Li Zhenyong, BGP
- Mohammad J. Ali, Kuwait Oil Company
- Omar Hassoun, Saudi Aramco
- Rodney Johnston, BP
- Said Abri, PDO
- Wael Zahran, Kuwait Oil Company
- Wafik Beydoun, Total Kuwait
SEG Middle East
Who should attend?
- Regional and international geoscientists, reservoir geophysicists and engineers specializing in seismic data processing, interpretation and seismic reservoir characterization from industry and academia
- Developers of applications and solutions software for data processing, manipulation, interpretation and visualization
The format of the workshop will feature formal presentations by invited experts in their fields to share their experiences and lessons learned in addition to papers submitted to and selected by the technical committee. The workshop will serve as a forum for open and extended discussions on the current status and future use of modern processing technologies for seismic data in hydrocarbon exploration, development and production.
Call for Abstracts
Call for Abstracts submission deadline: 30 July 2018
Submit your abstract to Hyra Dalisay
The workshop aims to review the current practices and advancements of land seismic data processing; both in terms of maximizing the value of legacy data and in light of the advances in data acquisition technologies such as increased number of channels, full azimuth, long offset, broadband and nodal systems. We will discuss current issues affecting most onshore seismic, the processing workflows and the existing limitations. Of interest are those technologies that maximize the benefit of the entire wave-field. Incorporation and integration of passive and non-seismic data to enhance land data processing solutions is also a consideration. Due to the increase in data volumes recorded on land, a relevant topic for the workshop is the use of Machine Learning (ML) in the automated analysis of very large datasets to reveal patterns, trends and expedite decision making.
Geoscientists with varying backgrounds will have the opportunity to exchange ideas and share their experiences, seek out consultations and learn new techniques. The workshop is designed to cover emerging theories and applications as well as case studies on land data. Ultimately, during the workshop, we will highlight opportunities in which we can maximize information and value from seismic data.
Technical topics to be covered
Technical topics addressing the value of geophysics including but not limited to:
- Current practices, methodologies, techniques and results of seismic data processing:
- Near surface, signal processing, noise attenuation, multiples & imaging
- AVO and AVAZ processing
- Advances in data processing which build on and leverage advances in land acquisition
- De-blending, low frequency broadband and FWI
- Fibre optics
- Compressive sensing
- Research topics and future trends
- Case studies highlighting improvements from advanced processing workflows and integration of geophysical methods
- Advances in software/hardware for better data processing workflows and algorithms
- Large data manipulation and visualization
- Cycle time improvement and machine learning
Max 2 page abstract + 1 figure, single column
Abstracts should include sufficient detail for the committee to judge the quality of the paper. Abstracts should be a minimum of 1 page, text plus 1 figure (optional), with a maximum of 2 pages. Abstracts should be on 8.5 x11 inch paper size, have text in Roman font, and include both text and figures. Title should be one or two-line, at the top of the page, in bold font, and size 12 points. Authors should be listed in Roman italic font, size 10 points, and located just below the title. All text must stay 1 inch clear of the margins of the page. Submissions should be in Adobe Acrobat PDF format.
To maximize exposure and visibility for our partners, we offer an array of unique sponsorship opportunities designed to suit a range of budgets with target specific audiences for optimum return on investment. For a list of sponsorship opportunities and an application form for sponsorship, see the Sponsorship Packet in the Important Documents section of this page, or contact SEG Middle East for additional information.