Machine learning has been around for decades or, depending on your view, centuries. By applying machine learning to our workflows, e.g. petrophysics, rock physics, seismic processing and reservoir characterization, we can bring speed, efficiency and consistency over traditional methods of data analysis. In addition, we can implement a range of machine learning techniques together with optimization algorithms and statistics to identify new patterns and relationships in multi-dimensional datasets. This has the potential to enhance our quantification and strengthen our interpretation of the subsurface; ultimately leading to a more accurate predictive outcome.
The registration for this short course is limited to 25 participants. Spaces will be allotted on a first purchase basis. Please register early to avoid disappointment.
Early Registration Deadline | 15 June 2020 | |
Late Registration Deadline | 10 August 2020 | |
On-Site Registration Fee from | 11 - 28 August 2020 | |
Short Course Programme |
28 August 2020 |
EAGE recognizes the current challenging status of the industry and, priding itself on the inclusive character of the Association, now has a special economic hardship assistance programme in place to reach out to its members. The programme consists of three elements: a membership fee waiver, the EAGE Annual registration fee waiver and special discounts on public EAGE short courses.