Conferences & Exhibitions

Deborah Sacrey, owner of Auburn Energy, will be presenting at the AAPG Pivoting 2021: Learning from Other Industries - Geothermal, Machine Learning, Smart Completionsvirtually on 28 May 2021. Click here to register for the event. Deborah Sacrey Owner - Auburn Energy Deborah is a geologist/geophysicist with 44 years of oil and gas exploration experience in …

A Tale Of Two Reservoirs: How Machine Learning Can Help Define “Sweet Spots” In Conventional & Unconventional Reservoirs Read More »

Dr. Carrie Laudon, a Senior Consulting Geophysicist for Geophysical Insights, will be presenting virtually at the GeoConvention 2020. Abstract: Machine learning, both supervised and unsupervised, adds tools for seismic interpretation that should be considered as a routine step in the interpretation process. Self organizing maps (SOM) are especially well suited for improving stratigraphic resolution. This …

Self Organizing Maps Applied to Seismic Attributes as a Tool to Improve Stratigraphic Resolution Read More »

SEH 2019 – Booth #1038 – Solving interpretation problems with deep learning and machine learning technologies

Come visit Metta Innovations at Booth 40 during the 16th International Congress of the Brazilian Geophysical Society where Paradise®, the AI workbench for Seismic Interpretation will be showcased.

Join industry innovators on 30 October 2019 in Houston, Texas to share ideas, best practices, and key learnings in the development and application of machine learning technologies.

Join us at URTeC 2019 hosted by SPE, SEG, and AAPG from 22-24 July 2019 where Carrie Laudon will be presenting “Machine Learning Applied to 3D Seismic Data from the Denver-Julesburg Basin Improves Stratigraphic Resolution in the Niobrara” with Paradise software.

Come visit Metta Innovations at Booth 40 during the 16th International Congress of the Brazilian Geophysical Society where Paradise®, the AI workbench for Seismic Interpretation will be showcased.

Join us at AAPG ACE 2019 – San Antonio

Paradise is a step-change in the way seismic interpretation is done, solving complex geologic problems, using machine learning for classification of multiple attributes on the sample level.

Visit Geophysical Insights at SBGf 2017 to catch a series of outstanding technical presentations highlighting the capabilities of multi-attribute analysis. 

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