Join thought leaders and innovators using Machine Learning applications in oil and gas.
30 OCTOBER 2019
Wednesday, 30 October 2019
Breakfast and Networking
7:30 – 8:15 AM
The morning plenary session hosts visionaries in oil & gas and tech companies share how AI, deep learning, and machine learning technologies, in general, are being leveraged to extract time from critical workflows, from seismic to reservoir models. These thought-leaders will set out how their teams are adopting machine learning technology to enable digital transformation and increase agility.
8:15 – 11:50 AM
Lunch with Keynote Speaker
12:00 – 1:15 PM
Afternoon Breakout Sessions
1:35 – 4:05 PM
Exploration and Development - Machine Learning Applications
Attend the Applications track to hear case studies on the application of machine learning technologies in different geologic settings to identify and develop prospects, reduce the interpretation lifecycle, and minimize risk. Engage with data scientists, geoscientists, and engineers as they share their practical experience with supervised learning, unsupervised learning, and deep learning methods to identify reservoir characteristics in conventional and unconventional geologic settings.
Reservoir Engineering - Machine Learning Applications
Engineering and production have been one of the first areas to be impacted by machine learning. Attend this track to hear about some of the promising applications and early successes from machine learning projects applied to reservoir characterization, reserve and resource calculations, confirmation of productive areas, and production efficiencies.
The Technology track provides a platform for innovators from E&P companies, technology companies, and service companies to present solutions to pervasive challenges in exploration, field development, and reservoir characterization by leveraging machine learning. Join the Technology track to learn more about the tools and infrastructure that are foundational to digital transformation, including cloud-based service-oriented architectures, GPU processing, and dynamic high-performance computing (HPC).
Research and the Future of Machine Learning
Hear researchers from industry and academia describe the forefront of AI, machine learning, deep learning, and computer engineering. Learn about geoscience and engineering technologies that are just over-the-horizon but set to impact the near future of the oil & gas industry.
4:30 – 5:30 PM