Digital Innovations in Oil and Gas with Geoffrey Cann

How Infrared Spectroscopy Is Changing Industrial Water Diagnostics, an interview with Graham Roeber of Orono Spectral SolutionsOil and water don't mix, but in oil and gas operations, they frequently end up together. Refineries, processing plants, and other industrial facilities routinely test their water streams for hydrocarbon contamination. Historically, this testing has been driven by environmental compliance. The objective is to demonstrate that discharged water meets regulatory standards, rather than to improve the performance of the facility.The problem is that traditional oil-in-water testing can be slow, labour-intensive, and expensive. Results can take hours, making the technology poorly suited to diagnosing leaking equipment or monitoring process performance. Meanwhile, oil escaping into wastewater represents lost product, increased treatment costs, and potentially costly equipment failures. For operators trying to improve efficiency without adding capacity, these losses matter.Infrared spectroscopy offers a different approach. By capturing oil from water samples on a specialized membrane, the technology can measure hydrocarbon concentrations in minutes rather than hours. More intriguingly, the spectral fingerprint of the captured oil can be compared against reference data to help identify the type of oil present. That makes it possible to narrow down the source of contamination, detect emerging problems, monitor process trends, and make better operational decisions.In this episode, I speak with Graham Roeber, CEO of Orono Spectral Solutions (OSS), about how this technology is transforming industrial water diagnostics. We discuss how chemical fingerprints can help maintenance teams locate leaking equipment, why faster testing changes the economics of process monitoring, the challenges of gaining regulatory acceptance, and how AI is making sophisticated chemical analysis more accessible. We also explore emerging applications in desalination, ammonia, corrosion monitoring, and other industrial processes.👤 About the GuestGraham Roeber is CEO of Orono Spectral Solutions (OSS), a company specializing in infrared spectroscopy technology for oil-in-water analysis and industrial water diagnostics.OSS develops analytical solutions that help industrial operators measure hydrocarbon contamination, identify oil types, and gain actionable insights into the performance of their equipment and processes.Website: https://www.ossmaine.com/Graham on LinkedIn: https://www.linkedin.com/in/grahamroeber/#DigitalOilAndGas #InfraredSpectroscopy #WaterTechnology #IndustrialInnovation #OilAndGas #OronoSpectralSolutions-----------------------------------------------------⚒️ Additional Tools & Resources📚 My books: https://geoffreycann.com/book/🎬 Go backstage and check out my studio:https://geoffreycann.com/mystudio/🎓Take my one-day digital strategy training course for oil and gas: https://www.udemy.com/course/digital-oil-and-gas/?referralCode=0161D4D49AB75735A185-----------------------------------------------------🔗 Connect with Me📘Blog series: https://digitaloilgas.substack.com/🎧 Podcast: https://geoffreycann.com/podcast/💼 LinkedIn: https://www.linkedin.com/in/advocate-digital-innovation-for-energy/🐦 X: https://x.com/geoffreycann👉 https://geoffreycann.com/contact/-----------------------------------------------------⚠️ DisclaimerThe views expressed in this podcast are my own and do not constitute professional advice.

Oil and gas companies have invested billions in SCADA, sensors and other technologies to understand what's happening with their equipment. Yet field workers still spend huge amounts of time driving to remote assets simply to inspect them. Experienced operators can see, hear and sense things that conventional instrumentation misses. Those blind spots have consequences. Equipment problems can go unnoticed until they become failures. Workers make unnecessary truck rolls. Maintenance becomes reactive. And with experienced field workers becoming harder to find, the industry needs a better way to understand what's happening across thousands of pieces of equipment. Physical AI offers another approach. New edge computing technologies can continuously interpret sound, vibration, vision, temperature and other signals right at the equipment. Add AI decision-making and the result is much greater visibility into equipment condition, earlier warning of problems, fewer unnecessary field visits and more targeted maintenance. In this episode, I'm in conversation with Alex Hawkinson, founder and CEO of BrightAI. We talk about stick-on AI sensors, edge computing, connected-worker technology, predictive maintenance and robot dogs. We also explore where this could ultimately lead: an oil field that continuously observes its own condition, decides what needs attention and eventually sends robots to take action. 👤 About Alex Hawkinson Alex Hawkinson is the founder and CEO of BrightAI, a Physical AI company focused on the infrastructure and essential services that modern society depends on. Alex previously founded SmartThings, the connected-home technology company acquired by Samsung. With BrightAI, he is applying his experience in connected devices, AI and edge computing to energy, power, water, transportation and other physical infrastructure. BrightAI: https://bright.ai/ BrightAI for Oil & Gas: https://bright.ai/industries/oil-gas/ Stateful OS: https://bright.ai/stateful-os/ Connect with Alex Hawkinson: https://www.linkedin.com/in/ahawkinson/ ⚒️ 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: 👉 https://www.udemy.com/course/digital-oil-and-gas/?referralCode=0161D4D49AB75735A185 🔗 Connect with Me: 🖥️ Blog series: https://digitaloilgas.substack.com/ 🎧 Podcast: https://geoffreycann.com/broadcast/ 📇 Linkedin: https://www.linkedin.com/in/advocate-digital-innovation-for-energy/ 🤬 X: https://x.com/geoffreycann ⚠️ Disclaimer: The views expressed in this podcast are my own and do not constitute professional advice. #PhysicalAI #IndustrialAI #OilAndGas

AI can help us quickly when we need to make decisions. But when executives are making high-stakes decisions about pipelines, energy infrastructure, capital investments or geopolitical risk, a quick answer isn't necessarily a good answer. Insight into the decision is fragmented across organizations, external information is difficult to assess, and misinformation, competing interests and human bias all complicate the picture. General-purpose AI tools can sort of help solve this problem. I find that they are designed to produce a fast answer, not necessarily to work systematically through a complex problem using rigorous analytical techniques. Strategic decisions need something more thorough: clearly defined problems, credible sources, competing hypotheses, scenario analysis, bias checks, traceable reasoning and the ability to revisit an assessment as circumstances change. Structured AI offers a different approach. Instead of replacing the human analyst, it combines AI with formal intelligence methodologies and human judgement. The result is analysis that can be challenged, explained and refreshed as conditions evolve. It's so much more satisfying than an AI-generated answer. In this episode, I talk with Chris Coupal of Foresight Reports about Nexus, the company's structured intelligence platform. I wanted to know why traditional approaches to intelligence are faring with today's complicated information environment, how structured AI differs from tools such as ChatGPT, why deliberately searching for contradictory evidence matters, the continuing importance of the human analyst, and how this approach could change strategic decision-making across energy and other industries. 👤 About The Guest Chris Coupal is Chief Operating Officer of Foresight Reports. His background includes 16 years in the Canadian military as a signals officer, including service in Afghanistan, as well as experience in mining and oil and gas. At Foresight Reports, Chris works with a team of analysts focused on intelligence and forecasting. The company has traditionally specialized in activism intelligence and social licence to operate and is now applying structured analytical techniques and AI to a broader range of strategic problems through its Nexus platform. 💼 Chris Coupal 👉 https://www.linkedin.com/in/chris-c-828702/ 🌐 Foresight Reports 👇 https://www.linkedin.com/company/foresight-reports/ https://foresightreports.com 📧 [email protected] ⚒️ 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: 👉 https://www.udemy.com/course/digital-oil-and-gas/?referralCode=0161D4D49AB75735A185 🔗 Connect with Me: 🖥️ Blog series: https://digitaloilgas.substack.com/ 🎧 Podcast: https://geoffreycann.com/broadcast/ 📇 Linkedin: https://www.linkedin.com/in/advocate-digital-innovation-for-energy/ 🤬 X: https://x.com/geoffreycann ⚠️ Disclaimer: The views expressed in this podcast are my own and do not constitute professional advice.

Digital innovations are creating huge value for oil and gas, but digital landscape is setting the industry up for problems down the track. Think of them as digital time bombs. Quantum computing will expose encrypted data that companies believe is safely protected. Legacy on-premise software is fast becoming difficult and costy to support as investment capital moves elsewhere. And the industry's shrinking talent pipeline will leave companies without enough people, particularly people with the digital skills needed to replace retiring workers. In this episode, I look at four digital time bombs facing oil and gas: decrypting stolen data, hacking live business communications, aging software, and the shrinking talent pool. The exact timing of these problems is uncertain, but that's the nature of a time bomb. Companies that recognize them early still have time to mitigate the impacts, or perhaps defuse them entirely. ⚒️ 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: 👉 https://www.udemy.com/course/digital-oil-and-gas/?referralCode=0161D4D49AB75735A185 🔗 Connect with Me: 🖥️ Blog series: https://digitaloilgas.substack.com/ 🎧 Podcast: https://geoffreycann.com/broadcast/ 📇 Linkedin: https://www.linkedin.com/in/advocate-digital-innovation-for-energy/ 🤬 X: https://x.com/geoffreycann ⚠️ Disclaimer: The views expressed in this podcast are my own and do not constitute professional advice.

Energy superpower is a fine marketing slogan. In fact, lots of countries have stated their ambition to become the next energy superpower, but oddly, no one spells out what that actually means. Fortunately, there is a rigorous academic definition for energy superpowerhood, which ranks the EU, the U.S., and China as the world's true energy superpowers. All others are pretenders, Canada included, despite its obvious oil and gas resources. What would it take to become a true energy superpower, and is now strategically the right time to pursue such a game plan? ⚒️ 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: 👉 https://www.udemy.com/course/digital-oil-and-gas/?referralCode=0161D4D49AB75735A185 🔗 Connect with Me: 🖥️ Blog series: https://digitaloilgas.substack.com/ 🎧 Podcast: https://geoffreycann.com/broadcast/ 📇 Linkedin: https://www.linkedin.com/in/advocate-digital-innovation-for-energy/ 🤬 X: https://x.com/geoffreycann ⚠️ Disclaimer: The views expressed in this podcast are my own and do not constitute professional advice.