The Oil and Gas Technology Centre (OGTC), in collaboration with the Exploration Task Force, wanted to explore how the use of sophisticated digital analytics techniques, such as machine learning, can help highlight and high-grade remaining exploration potential in the North Sea.
Using an area of the Northern North Sea containing over 3,500 wells, 4 technology developers took the challenge to ‘prove the value of machine learning in building trusted and conditioned datasets from historical data that will enable automated interpretation to assist traditional subsurface workflows in rapidly identifying additional resources’
This webinar series is their story about how they tackled the challenge, exploring the different approaches adopted by each of the technology developers, the technical challenges of dealing with a large dataset of varying data quality and vintage, and how successful the machine are at finding pay.
Webinar 2 – 9th June, 14:00 – 16:00, Digital Analytics to find pay
The focus of this webinar will be the application of advanced data analytics and machine learning techniques to identify and find pay from conditioned and trusted data.
14:00 Welcome from the OGTC
14:10 Earth Science Analytics: Machine Learning approach to petroleum geoscience, a case study from the Northern North Sea
15:00 Merkle Aquila: Application of advanced machine learning methods and technologies to determine hydrocarbon potential in the Northern North Sea
15:50 Thank you / End