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NEW TECHNOLOGYSCIENCE & SOLUTIONS SEE THINGS DIFFERENTLY

Data Library

Accelerate exploration with off-the-shelf seismic and geoscience products and studies.

Northern Viking Graben

Assess opportunities with a unique 44,000 km² regional broadband data set with new dual-azimuth coverage.

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GeoVerse™ Geological Database

Access all of CGG’s digitally transformed multi-client geological data, derived from an unrivaled library of geological studies and databases developed over the last 50 years.

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Ocean Bottom Node Seismic

Get closer to the reservoir with expert seismic imaging of ocean bottom node (OBN) data.

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SeaScope

Strengthen situational awareness and mitigate offshore pollution risk with critical sea surface slick intelligence.

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Machine Learning Environment

Solve the toughest petrophysical challenges with the machine learning and deep learning capabilities offered by CGG GeoSoftware.

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Rock Physics

Make the connection between reservoir properties and seismic inversion results to enhance your reservoir understanding.

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Geothermal

Reduce risk across exploration, development and production with geothermal services that help characterize the subsurface and monitor operations.

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Carbon Capture, Utilization & Storage

Accelerate CCUS with integrated geoscience solutions to screen storage sites and optimize development for safe and effective injection and long-term storage of CO₂.

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Resources & News

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Event
GeoVerse Earth Data Day

GeoVerse Earth Data Day

Oct 12 - Oct 12, 2021 | CDT (UTC-5:00), Online

Join us as we showcase GeoVerse: the world’s most diverse, platform-agnostic geological database. This half-day virtual event will include breakout sessions with real-world examples from natural resource exploration, environmental, and energy transition projects.

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Industry Article

Model misspecification and bias in the least-squares algorithm: Implications for linearized isotropic AVO

Sep 2, 2021

This paper shows how to calculate the bias due to misspecified models in least-squares parameter estimation. It introduces Omitted Variable Bias (OVB), a technique well known in least-squares analysis in the context of econometric data analysis. OVB is applied to the analysis of linearized isotropic AVO models, both analytically and numerically. For misspecified models, such as two-term AVO fitting with large angle range or with large contrasts, OVB provides relations between the biased and unbiased least-squares model parameters. A Jupyter notebook and binder link let’s the reader apply the ideas presented to their own AVO models.

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