Project pages

Description

The Parihaka NZ seismic have some wonderfully hard to pick and intricate infilled gullies. We haven't seen and detailed interpretations so can we use ML to track and extract these features?

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Description

Train a machine learning algorithm to perform biostratigraphic interpretations on data from Volve.

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Description

Using the public dataset https://goo.gl/wb145Z provided by CGG and Robertson to try to act on Peter Baumann's idea "Learn Grain size and sedimentological structures form core images // cc-by dataset"

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Description

Developing a tool to turn a sketch into a seismic image

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Description

Anomaly Screening Applying Pseudo-wells (ASAP) allows rapid assessment of seismic anomalies by comparing clustered seismic data to synthetics from rock physics derived pseudo-wells.

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Description

Use of 4D seismic and well data to predict pressure changes in-between wells.

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Team: admin -

Description

Machine learning analysis of complex system from real-time monitoring of offshore production facilities for early prediction of failures and significant reduction of production costs

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