We are happy to share the recording from the event by EAGE Local Chapter Germany, organized on 27 October 2021 featuring guest speaker Dr. Aria Abubakar (Head of Data Science and Advisor for Digital Solutions, Schlumberger) in collaboration with EAGE LC Czech Republic and the Oslo Society of Exploration Geophysicists (OSEG).
Abstract:
In recent years we have seen great achievements accomplished by artificial intelligence (AI) and machine learning (ML), in various areas. Driven by the advances in the GPU technology, cloud computing, and the rapidly increasing data volumes within the geoscience applications, the energy industry has recognized and embraced the tremendous potential of AI/ML. Early research and development utilizing these algorithms for geoscience applications have shown encouraging and promising results. In this webinar we will discuss a variety of highly successful geoscience applications that leverage AI/ML algorithms to improve efficiency, accuracy, and to automate workflows, and to explore a new way of extracting values from geoscience data. Specifically, we will focus on the automated evergreen subsurface model building workflow utilizing seismic, wellbore and other geophysical data for deriving 3D subsurface models. A case study result will be discussed.
Connect with EAGE Local Chapter Germany via [ Ссылка ] or visit www.eage.org to learn more about EAGE communities!
