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Combining Machine Learning & Domain Expertise to Optimize Oil & Gas Assets
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
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Energy Innovations – Ep. 7 – Monitoring Sites Remotely with Ian Cunningham of Wave9
“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
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Digital Oil and Gas Podcast by Geoffrey Cann ep. 273
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.
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Connected Safety Proactively Reduces Risk to Oil and Gas Facilities and Workers (Energy Now)
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
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From Data Center Modeling to Edge Deployments with Monitoring
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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Robert Magno – Building the Best AI Infrastructure Stack to Accelerate Your Data Science
Those attending our Machine Learning in Oil & Gas 2022 conference had the opportunity to see some outstanding presentations. The following video is a presentation by Robert Magno from Run:AI. The presentation focuses on helping organizations: – Understand the dynamic resource requirements of Artificial Intelligence/Machine Learning based workloads – Manage to compute resources such as
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Digital Oil and Gas Podcast by Geoffrey Cann ep. 270
Today’s podcast is a chat with Katherine Kraft, the Director of ESG and Product Strategy at Teren Inc. Teren is focusing on environmental sustainability and asset resilience by analyzing LIDAr and geospatial data with AI to predict incoming geological issues. Today we discuss that technology and how oil and gas can benefit from better environmental analytics.
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Energy Innovations – Ep. 5 – Apps for Accurate Tracking in the Field
“Bringing Skip the Dishes to the Oil Field”. Geoffrey sits down with Shawn Martens of IronSight, who developed a nifty technology to connect field service companies and their crews directly with their customers. Oil and gas companies (demand side) historically have collaborated with their service providers (supply side) in traditional ways — phone calls, emails,
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Carbon, Capital, and the Cloud: A Playbook for Digital Oil and Gas – by Geoffrey Cann. Book Launch
Oil, gas, and the promise of a digital future Forces of change have reconfigured the playing field for the oil and gas industry: Volatile crude oil and natural gas prices. Global recession. Pandemic. Climate change. Capital market pressures. Rising demand for renewable energy sources. To survive, companies have been compelled to adopt digital technologies to
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Energy Innovations – Ep. 4 – AI Driven Industry Optimization with Morgan Eldred of Digital Energy
“Machines Help Humans Excel”. Geoffrey Cann sits down with Morgan Eldred, CEO of Digital Energy.AI to discuss the application of machine tools and artificial intelligence in oil and gas. The complexity of oil and gas means managers rely on analysis models to help make effective decisions. Advances in cloud technology, compute capacity and artificial intelligence
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Confluent Apache Kafka for Oil & Gas, Smart Grid, and Energy Utilities (Webinar)
Event Streaming in the Energy Industry Real-Time Analytics at Scale for IoT, Smart Grids, Energy Production and Distribution by Kai Waehner In the presentation: 1) The Evolution of the Energy Industry 2) Event Streaming with Apache Kafka 3) Real-World Deployments across the Energy Sector 4) Architectures – Edge, Hybrid, Global 5) Event Streaming and other
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The Role Blockchains can play in managing Climate Change
As the race to Net Zero continues, discussions around a unified approach to measurement and standardization remain front and center. Chainlink Labs, the organization developing the global decentralized oracle standard powering mainstream blockchain adoption, and Tecnalia, a leading European research institute, have released a new report providing a primer on how to accelerate the transition from fossil fuels
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Decarbonization
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Digitalization
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Energy Efficiency
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Energy Storage
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Hydrogen
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Innovation
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Midstream & Downstream Oil & Gas
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Renewables
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Upstream Oil & Gas
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Utilities
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