Machine learning has evolved over several decades. Since the mid-2000s, neural networks re-emerged along with various deep learning architectures. These advances have enabled successful applications of deep learning methods in many industries. However, these methods are not being fully exploited in the Oil and Gas industry. To bridge this gap, many researchers and engineers have been actively researching and developing numerous modern machine-learning applications in various domains in this industry, including the geosciences. Through examples, our talk will focus on the potential of machine learning to address complex geoscientific problems such as seismic fault interpretation and well log correlation.
Presentation Date: Monday, October 15, 2018
Start Time: 1:50:00 PM
Location: 204B (Anaheim Convention Center)
Presentation Type: Oral
Number of Pages
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