GeoConvention 2020

September 21 - 23, 2020 - ONLINE

Time zone: Mountain Daylight Time (MDT) (UTC - 6)
Category: Tradeshows

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Like many people and companies around the world during these unprecedented times, we are exploring the opportunities, while navigating the challenges, associated with the migration online of many of our traditional activities, such as technical presentations and exhibitions.

CGG's global geoscience technologies enable you to build comprehensive earth models that support the discovery and responsible management of the Earth's natural resources. Our broad range of leading products and expert services help unlock the secrets of the earth through a variety of geoscience disciplines.

The GeoConvention website hosts our virtual exhibition booth and technical presentations. If the dates/times don't fit your schedule, please feel free to request a meeting by emailing either our  GeoSoftware or  Smart Data Solutions team.

Our Technical Papers

A case study in Delaware Basin: Application of Time-Lag FWI and 3D SRME/IMA multiple attenuation
Dongren Bai
11:25 AM Monday September 21

Theory-guided deep learning for reservoir characterization
Jon Downton
1:50 PM Monday September 21

Predicting reservoir properties using neural networks
Jon Downton
3:45 PM Monday September 21

Ensuring geologic ordering in Bayesian facies estimations
John Pendrel
3:20 PM Tuesday September 22

Unconventional oil production shortfalls – how to explain observed well behavior
Robert Bachman
1:50 PM Wednesday September 23

Subsurface Imaging - FWI

Full Waveform Inversion

Reveal intricate velocity details for the clearest images. Harness seismic low frequencies from BroadSeis, StagSeis, seabed and land data.



GeoSoftware offers a comprehensive solution for your integrated geophysical, geological, petrophysical, rock physics and interpretation needs.

GeoSoftware - Machine learning

Machine Learning

Machine learning enables clearer reservoir understanding and faster, more efficient data analysis so you can predict curves based on existing log data.



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