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Digital Innovations in Oil and Gas with Geoffrey Cann

Digital Innovations in Oil and Gas with Geoffrey Cann

De: Geoffrey Cann
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This is a weekly podcast of how #digital innovations will impact the global #oil and #gas sector, hosted by Geoffrey Cann, international author, professional speaker, and corporate trainer. Economía
Episodios
  • Smarter Scheduling in Oil and Gas

    Smarter Scheduling in Oil and Gas
    Oct 8 2025
    Scheduling in oil and gas has long been a weak link. Wells, rigs, frack crews, contractors, and regulators must all line up in precise sequence, but too often the “system” is stitched together with Excel spreadsheets, siloed tools, and a lot of human memory. The result is inefficiencies, costly delays, and endless arguments in daily meetings. That model is no longer good enough. The complexity of modern operations, coupled with volatile markets and new constraints (from labor shortages to tariffs to water management) is making traditional scheduling tools obsolete. Operators that rely on outdated approaches risk losing millions in wasted time and missed opportunities. Spying this problem years ago, Actenum, an AI-enabled scheduling platform that treats scheduling not as a collection of dates, but as a living model of operations, set out to correct this problem. The tool captures constraints, integrates with systems of record, forecasts production, and enables scenario planning, in real time. Companies report faster well delivery, reduced conflicts, smarter forecasting, and millions in direct savings. In this episode, I speak with Owen Plowman, Vice President of Business Development at Actenum, about how smarter scheduling is reshaping oil and gas. We cover real-world client stories, cultural shifts inside organizations, and how AI is opening new optimization opportuntities in planning, turnarounds, and offshore logistics. 👤 About the Guest Owen Plowman is Vice President of Business Development at Actenum, a software company specializing in AI-enabled scheduling solutions for the energy sector. With a background in computer science, Owen began his career in the defense sector, later joining Oracle during its rapid global expansion. Since 2006, he has focused on applying advanced scheduling technology to oil and gas, helping clients worldwide optimize drilling programs, turnarounds, and offshore operations. 👉 Connect with Owen and Actenum Request a DemoWatch it in ActionDownload a Brochure ⚒️ Additional Tools & Resources 🎙 Go backstage and check out my studio: geoffreycann.com/mystudio📘 Take my one day digital strategy training course for oil and gas: Udemy Course 🔗 Connect with Me Resources: geoffreycann.com/resourcesBlog series: digitaloilgas.substack.comPodcast: geoffreycann.com/broadcastLinkedIn: linkedin.com/in/advocate-digital-innovation-for-energyX: x.com/geoffreycann 🎤 Contact for Lectures and Keynotes I speak regularly on these and other topics. Contact me to book a brief call about your upcoming event needs. Click here: geoffreycann.com/contact ⚠️ Disclaimer The views expressed in this podcast are my own and do not constitute professional advice.
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    33 m
  • Harnessing Energy’s Data Deluge

    Harnessing Energy’s Data Deluge
    Oct 1 2025

    The oil and gas industry generates extraordinary amounts of data from millions of sensors, yet only a tiny fraction, at most 8%, is actually used to inform decisions on complex and valuable assets. Decades of building analytics and machine learning solutions have helped, but they’ve also left companies with a patchwork of siloed systems and “industrial gridlock.”

    The arrival of foundation models in late 2022 introduced the possibility of moving beyond one-off solutions. But generic internet-trained models are not suitable for high-risk industrial environments, where accuracy, context, and explainability are essential. The sector needs something different.

    Applied Computing is tackling this challenge head-on by creating a foundation model designed specifically for energy. Built to handle time-series data, diagrams, operator logs, and unstructured engineering information, their model emphasizes contextual understanding, explainability, and zero hallucinations.

    My guest this week, Dan Jeavons, is President of Applied Computing and former VP of Computational Science and Digital Innovation at Shell. Dan shares his career journey, why foundation models represent a turning point for the industry, and how energy can finally begin to unlock the 92% of data it currently leaves on the table.

    👤 About the Guest

    Dan Jeavons is President of Applied Computing, a technology company developing foundation models tailored for the energy sector. At Shell, he led global AI initiatives and oversaw advanced research into digital technologies. With over 20 years of experience in consulting and energy, Dan has been at the forefront of applying data and AI to improve business processes, optimize operations, and explore new business models.

    LinkedIn: Dan Jeavons

    Applied Computing

    ⚒️ Additional Tools & Resources

    • 🎙️ Go backstage and check out my studio: https://geoffreycann.com/mystudio/

    • 🛠️ Take my one-day digital strategy training course for oil and gas: Udemy Course

    🔗 Connect with Me

    • Resources

    • Digital Oil and Gas Blog

    • Podcast

    • LinkedIn

    • X / Twitter

    📢 Contact for Lectures and Keynotes

    I speak regularly on these and other topics. Contact me to book a brief call about your upcoming event needs.

    ⚠️ Disclaimer

    The views expressed in this podcast are my own and do not constitute professional advice.
    Más Menos
    33 m
  • When Water Bites Back: How Oil and Gas Learned to Respect Its Most Overlooked Resource

    When Water Bites Back: How Oil and Gas Learned to Respect Its Most Overlooked Resource
    Sep 24 2025

    Water is the unsung workhorse of the oil and gas industry. It's instrumental for generating steam, driving b, lubricating drill bits, flooding reservoirs, and separating oil from oil sands. Historically it’s been cheap, plentiful, and overlooked. As climate pressures mount and scarcity becomes real, water is now emerging as one of the industry’s most critical resources.

    Water isn’t just another utility, like power. It's a highly interconnected system. A quick fix in one unit can cause downstream failures, regulatory breaches, or environmental harm. Unlike power, water can be reused. Companies are now wise to the fact that traditional, siloed approaches to water management no longer work.

    One solution lies in building holistic, site-wide digital twins of water systems. These models bring together flows, chemistry, capacity, compliance, and infrastructure data into one view, enabling operators to troubleshoot more effectively, run “what if” scenarios, and align operations with ESG commitments.

    In this episode, I speak with Gil Maron, a project engineer with FTD Solutions, about his journey from refinery process engineer to water management specialist, why water is local and unique to every site, and how digital twins are helping oil and gas companies cut costs, meet sustainability goals, and avoid costly mistakes.

    👤 About the Guest

    Gil Maron is a Project Engineer at FTD Solutions, where he focuses on industrial water management, treatment, and analytics. With a background in refinery operations and pharmaceuticals, Gil brings deep expertise in troubleshooting complex process systems. At FTD, he works with oil and gas, semiconductors, and other industries to help clients adopt holistic, data-driven approaches to water use and sustainability.

    🔗 Connect with Gil on LinkedIn

    🔗 Learn more at FTD Solutions

    ⚒️ Additional Tools & Resources

    • 🎙 Go backstage and check out my podcast studio

    • 📘 Take my one day digital strategy training course

    • 📰 Read my weekly Digital Oil and Gas blog

    🔗 Connect with Me

    🌐 Website

    🎧 Podcast

    💼 LinkedIn

    🐦 X (Twitter)

    🎤 Contact for Lectures and Keynotes

    I speak regularly on topics like digital innovation, sustainability, and the energy transition. Book a call to discuss your upcoming event.

    ⚠️ Disclaimer

    The views expressed in this podcast are my own and do not constitute professional advice.
    Más Menos
    35 m
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