New analytics involving Big Data, deep learning and machine learning are transforming all aspects of the oil and gas industry.
This will be the focus of “Big Data and Deep Learning in the Oil Industry: Basics and Applications,” a Geosciences Technology Workshop to be held in Houston on May 22 at the CityCentre Norris Conference Center.
This workshop will familiarize attendees with the latest techniques and workflows used in deep learning, Big Data and advanced analytics, and will also describe how the cloud is accessed and managed in order to provide real-time monitoring and decision-making. The afternoon session will relate the theory to upstream oil industry examples. Students will apply the concepts using hands-on examples (software) as well as case studies.
Susan Nash, AAPG’s director of innovation, emerging science and technology, said the workshop will cover how companies are exploring new ways to develop intelligent analytics and machine learning to optimize geosteering and to determine how to design the fracturing jobs.
“Analytics are now being used to revisit data from older operations to see where things could be done differently today, with better results than in the past. One example: revisiting failed shale plays. Are they really not producible? Or, were they simply botched? Analytics – Big Data and using unstructured data to create neural networks – could help us answer that question,” she added.
This workshop is for geoscientists, engineers, entrepreneurs, infrastructure construction companies and anyone else whose work entails integrating various databases (geophysics, fracture networks, regional faults, methane seeps, surface geochemistry for sweet spot identification / pinpointing).
For more information, contact Nash at email@example.com.