Machine Learning (ML) is a field of Artificial Intelligence that has experienced rapid growth in the last ten years across diverse industries, including communications, financial services, security, transportation, and others. Applications of ML have produced dramatic results, enabling new opportunities and business models. Driving the adoption of ML are the volume and velocity of information, the application of deep learning techniques, and economic computing power. Applied to geoscience, these data-driven approaches are complementary tools for physical-based modeling, simulation, and inversion. ML facilitates an understanding of complex relationships among a large and diverse set of variables, valuable for generating and validating models and answering scientific questions. ML can enable fast high-quality decisions in the oil & gas industry, an essential component for viability given the industrys long-term outlook. Geoscience datasets are among the largest volumes of data in the industry. The data has a wide spectrum of properties with scales varying over many orders of magnitude. The workshop will allow the attendees to evaluate and compare the best developments of ML technology that have occurred in industry over the last five years.
Opening of Call for Abstracts: 19/07/2024 Abstracts Submission Deadline: 16/10/2024 Notification to authors: 30/10/2024 Presenter confirmation: 15/11/2024 Final Technical Program: 22/11/2024 Registration Early Open: 07/10/2024 Registration Early ends: 14/11/2024
Good-Morning and welcome to: 4th Joint SBGf/SEG Workshop on Machine Learning.
This in-person workshop will discuss the challenges, opportunities, and trends related to the adoption of Machine Learning in geoscience research and industrial applications. Professionals from academia, Oil & Gas, Mining, and technology companies from different areas will present applications and case studies, promote discussion, and propose practical solutions to take greater advantage of Machine Learning methods.
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