SEIS2LOG – Machine Learning Algorithm

PRESS RELEASE

Kuala Lumpur 12^th March 2020

Azimuth GeoSolutions Sdn. Bhd. (Azimuth) based in Kuala Lumpur, Malaysia is pleased to announce its collaboration with Machine Learning and Deep Learning industry experts who have developed the SEIS2LOG Machine Learning algorithm. The algorithm can create pseudo logs from seismic traces. The program builds machine learning models from seismic data attributes combined with the available log data. This results in a segy of pseudo logs at every trace.

Sami Khan President & CEO of Azimuth commented  we are excited with this new development in the Machine Learning space and we envisage the value of Seis2log to oil companies would lie in the ability to bring the seismic closer to the geologists. The value of interpreting lithologies straight from seismic, after converting it to pseudo gamma ray for clastics, for carbonates, permeabilities for reservoir modelers and for carbonates interpretation of sweet spots. Unfortunately, no one is taking logs and generating logs from seismic at least not to my knowledge.

Seis2log has transformed the seismic interpretation to a pragmatic geologic interpretation that petrophysicists, geophysicists, geologists, and reservoir engineers can relate to.

For further details on our Seis2log Machine Learning technology and service offerings, please email us at [email protected] and our technical experts are available to assist.