EAGE Local Chapter Houston Technical Meeting

Bluware’s Julian Chenin, Geophysical Data Scientist, will present at the EAGE Local Chapter Houston Technical Meeting on February 28 – Changing the Future of Energy by Utilizing AI / Machine Learning and Big Data

Technological advances, such as deep learning, are playing a critical role in the energy transition. For carbon capture storage (CCS) sites, it is critical to understand reservoir distribution and seal integrity, such as within the Sleipner Field in the North Sea. To address this, we present a methodology to monitor the evolution of the plume utilizing a data-centric and interactive deep learning approach on time-lapse seismic that accelerates and enhances the mapping of the plume through time within the study area. Geoscientists can leverage this deep learning methodology across other CCS projects to characterize the subsurface significantly faster with a higher level of detail compared to traditional interpretation methods.

You don’t want to miss this presentation titled Data-Centric and Interactive Deep Learning for Monitoring and Characterizing CO2 Injection in the North Sea.

Register Here