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Leveraging Artificial Intelligence for Reservoir Property Prediction:

Overcoming limited well control in complex geologies

Speakers

Shervin Rasoulzadeh, EWA Technical Leader

The task of predicting reservoir properties from seismic data can be quite challenging, particularly in cases where there is a shortage of available well data and the lithology is complex.

However, the HampsonRussell GeoAI technology offers a machine learning workflow that is able to overcome this challenge by generating expected reservoir scenarios using rock physics models and statistical simulations and predicting multiple reservoir properties simultaneously from seismic data.

we will explain the GeoAI workflow and showcase how GeoAI was effectively utilized to predict multiple reservoir properties simultaneously, even in fields with complex lithology and limited number of wells.

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