Upstream Oil & Gas
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Liz Dennett is very excited about technology’s future in energy. “There’s so, so much coming out,” Dennett said. Dennett, who serves as VP of Data Architecture and Data Engineering at Wood Mackenzie, began her career in geology working with NASA and academia researching how life originated on Earth. Today, Dennett, who earned a Masters and
READ MORE »Ranjan Ghosh has spent a quarter century working with technology. Whether it’s insurance, banking, healthcare, transportation, or robotics, Ghosh has worked on ways applying technology can have a profound impact on the business sector. Today, Ghosh is applying his vast experience to the digitalization transformation of energy. “In the oil and gas sector, digital has
READ MORE »Rob Tiffany wants you to believe in the power of digital twins. While he is currently serving as Managing Director of the IT consulting firm Digital Insights, Tiffany has worked with some of the biggest names in the technology that shapes so much of our lives today. From Microsoft to Hitachi to Ericsson, Tiffany has
READ MORE »“We are seeing such an evolution of what has been happening over the last five years, and at this event, we heard real-implemented use cases. It’s the only conference tackling issues around the emerging technology of blockchain for the energy industry.” Rebecca Hofmann, President, Blockchain for Energy Some of the most innovative and forward-thinking leaders
READ MORE »“IIoT and Edge computing by far will make the biggest impact as you can use AI to automate operations and reduce manual decision making leading to better productivity and reduced errors or accidents. These will also help with predicting equipment malfunctions before they happen, allowing for reduced downtime.” Varun Anand, Sr. Manager Manufacturing Applications at
READ MORE »Production forecasting is considered as one of the most challenging and time-consuming tasks in petroleum engineering disciplines, it has important implications on decision-making, planning production and processing of facilities. The forecast includes long-term and short-term cycles which require robust technical methodology in order to have representative targets and milestones for business projects. The forecasting of
READ MORE »Join Confluent for an industry-focused session on how to transform energy outcomes with event-driven architectures. We’ll discuss how the energy industry leverages real-time, event streaming to transform data and enable hybrid cloud architectures, highlighting use cases and best practices from our largest energy customers. We’ll explore many energy use cases such as: -Field management by
READ MORE »Presentation by Emad Gebesy – Optimize Global Solutions from Machine Learning in Oil & Gas 2022 Description • Challenges facing the Artificial Intelligence and Machine Learning for improving oil and gas production • Transitioning the existing workforce to have Artificial Intelligence full-scale process • Machine Learning & Deep Learning solutions for upstream, midstream, and downstream
READ MORE »“Monitor Sites with Simple Cameras”. Geoffrey Cann sits down with Ian Cunningham, Founder of Wave9, a technology company that helps oil and gas producers monitor their distant well sites using cameras. The cameras record images from the sites and can detect spills and leaks automatically, sending an alert to a human operator to visit the
READ MORE »Most, if not all, large energy companies now include climate change as a critical topic on the Board agenda. As managers, you may be wondering what your business can do about it. More than ever, we need to turn to technology to help us strike a new more sustainable balance.
READ MORE »How Connected Safety Proactively Reduces Risk to Oil and Gas Facilities and Workers (Part 1 of 2) At every point in oil and gas production, from the extraction of raw materials to transportation and storage, to refining and distribution processes, oil and gas operations require accurate, real-time monitoring of safety conditions. This immediate visibility protects
READ MORE »From Data Center Modeling to Edge Deployments with Monitoring: Domino Enterprise MLOps for Oil & Gas Machine Learning Speakers Thomas Robinson – Domino Data Lab Reynaldo Gomez – NVIDIA The Oil & Gas industry presents unique challenges for developing and deploying valuable models. Heterogenous infrastructure at the edge, complex enterprise architectures, and organizational complexity mean
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