Welcome to the CGG Hub

CGG is a global leader in high-tech geoscience. We offer a unique range of innovative technologies, services and equipment designed to provide extremely precise data on the Earth; primarily to support exploration for and optimal development of natural resources. Read more »

Typically recruits

  • Aerospace
  • Chemical/Process
  • Civil/Building
  • Computing/Technology
  • Electronic & Electrical
  • Materials & Minerals
  • Mechanical/Manufacturing
  • Sciences/Maths
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The facts

To find out more about our organisation please visit:
www.cgg.com

Graduate intake: 40+
Founded in 1931, the first CGG geophysical survey took place in West Africa in 1932.
We are a global company with over 35 locations worldwide.
Among the world’s top 5 for computing capacity.
Over 45 years of remote sensing experience.
Member of UK STEM Ambassador programme since 2010.
Over 2,000 students have Followed us on Gradcracker.
A Gradcracker advertiser for over 5 years - ideal for you to !
 
Member No: 102
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Worldwide leader in seismic imaging and equipment manufacture.

Our videos

UK Digital Innovation Week
UK Digital Innovation Week
What is Geophysics?
What is Geophysics?

Sharon

Web Developer & Campus Ambassador

"I learned a lot from my manager and from the experience of working at a company like CGG and I particularly enjoyed the social aspects from simple things like going for lunch or a walk together to the annual summer family picnic!"

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Jonathon

Petroleum Geologist

""Since joining CGG I’ve enjoyed working on a diverse array of projects with a friendly and inspiring community of co-workers.""

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Imaging the earth with sound waves: free surface reflections

When we send seismic waves into the earth, we record many different types of arrivals at our receivers: primary reflections from the different impedance contrasts in the earth, head waves, guided waves, surface waves, refractions, diving waves, converted waves and prism waves to name just a few!

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CGG Cuts Cycle Time of OBN Imaging at Mad Dog Field

Ocean-bottom node (OBN) seismic data combined with Full Waveform Inversion (FWI), for velocity model derivation, provided this step-change improvement in imaging at the subsalt Mad Dog Field.

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