Artificial Intelligence, and specifically, Machine Learning has recently popped into the scene as a powerful tool to address many of the challenges we face as we try to illuminate the Earth and make the proper prediction of its content. From fault detection to salt boundary picking and image resolution enhancements, the quest to teach our computing devices how to perform these tasks accurately, as well as, quantify the accuracy has become a feasible and sought-after objective. The recent advances in Machine Learning algorithms and the availability of the modules to apply such algorithms allowed geoscientists to focus on potential applications using such tools.
This workshop aims to bring together interested individuals and academicians to share their experiences in applying Machine Learning algorithms in geoscience applications, especially applications related to the Oil & Gas sector. The workshop is open to all Machine Learning applications and experiences related to geophysical data. This may include classification, interpretation, picking, interpolation, enhancements, resolution, or even modeling and inversion.
What can we teach the machine, what we cannot teach it, and more importantly what can it teach us?