EAGE Workshop on Big Data and Machine Learning for E&P Efficiency
This workshop will present and discuss leading-edge big data and machine learning applications, to better understand the future potential and impact of these technologies on our industry.
The oil and gas industry has accumulated huge amounts of data during the last 50 years, and new data is being acquired at an increasing pace every year. This data, both old and new, contains information that is extremely valuable and that information can now be extracted more effectively using recently introduced big data analytics and deep learning technologies.
For these reasons, most oil and companies have decided to “go digital” and embarked on ambitious programs that will benefit all domains, from E&P efficiency to drilling optimization, from supply chain to human resource management, and more.
Over 100 participants are expected to attend this EAGE workshop in KL, Malaysia
Using Big Data to Reduce Imaging Uncertainty
The agenda includes a presentation by Andrew Long (PGS) on 'Pseudo-random big data analysis for reducing imaging uncertainty', co-authored by Tony Martin (PGS)