Digital Innovations in Oil and Gas with Geoffrey Cann
Oil and gas companies are finally confronting the huge communications and stakeholder challenge they face with their asset owners and stakeholders. Production assets such as oil and gas wells almost always have many part owners (land owners, JV partners, interest-holders, trusts, first nations tribes). Managing these hundreds or thousands of parties across tens of thousands of wells is really demanding. These relationships are complex, sensitive and often layered with legacy ownership structures, royalty flows, regulatory demands and reputational risk. This is much more than an operational...
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Latin America is entering a period of rapid economic growth, urbanization, and industrial expansion. Unlike North America and Europe, where primary energy demand has been flat for more than a decade, the region’s energy consumption is rising sharply. A young, increasingly urban population is pushing electricity and fuel demand higher, placing new pressure on infrastructure and supply. This demand surge is colliding with a second global shift: the explosive rise of AI and hyperscaler data centers. These digital megaprojects require enormous volumes of power, often sourced from natural gas,...
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Electricity powers nearly everything in oil and gas, from pumps and motors, to compressors and digital systems. But while production engineers obsess over volumes and temperatures, the quality of the electricity driving their systems is often overlooked. Most teams only discover power issues after equipment fails, leading to unplanned downtime and costly repairs. Unfortunately, traditional power quality meters and relay monitors don’t catch the early warning signs. They lack resolution, require manual data pulls, and don’t provide actionable insights. Worse still, the frontline...
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In all my years of experience in energy, I rarely worked in pure regulatory areas, but regulations loomed large over everything I touched. The energy sector is very highly regulated, and for very good reasons. From environmental standards to carbon pricing, energy companies are held to a high standard and must demonstrate that compliance to operate locally, regionally, and globally. The regulatory landscape is highly dynamic and under constant change. New regulatory frameworks emerging from Europe and the United States will reshape how energy companies, particularly in North America, do...
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In the UK oil and gas sector, the record on major accidents looks encouraging. Serious incidents are very rare, and the industry appears to be operating safely. Beneath the surface, the data tell a different story. One-third of safety inspections fall below the legal standard, and more than half of process-safety professionals are expected to retire within the next decade. At the same time, ageing assets, shrinking budgets, and weaker regulatory oversight are straining existing safety systems. Operators must sustain high safety performance when experience is walking out the door,...
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Unconventional oil and gas is massive. Every year, over $100 billion is poured into steel, sand, and water just in Canada and the US. Yet, most of the planning behind these extraordinary investments still runs on Excel spreadsheets. Spreadsheets were fine in the 90s, but today they struggle to handle the complex interdependencies and real-world constraints of modern tight plays. The hidden cost to the industry is huge. Expensive inefficiencies, wasted capital, and missed opportunities to improve well design and execution. Other industries abandoned spreadsheets long ago when margins got thin,...
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Oil and gas operations rely on heavy machinery and equipment that perform critical tasks, yet most of this equipment remains disconnected from the digital landscape of cloud computing, analytics, and autonomy. This lack of connectivity leaves operators with higher costs, inefficient maintenance, and limited visibility into how their assets are really performing. The traditional approach to equipment design is no longer enough. Operators face pressure to improve efficiency, reduce emissions, and cut costs, but without better data and smarter tools, these goals remain out of reach. The industry...
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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...
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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,...
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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....
info_outlineIndustrial operations have long depended on the OODA loop—Observe, Orient, Decide, Act—a military-inspired decision framework that works, but at great cost. It requires physical presence, human expertise, and often misses key variables hidden from view. This age-old method is embedded across energy infrastructure—from wells to refineries.
The digital age, however, is transforming our ability to observe. With billions of video-capable devices generating colossal amounts of data, and artificial intelligence now capable of interpreting this data in real time, there’s a game-changing opportunity at hand.
This episode explores the staggering scale and value of video data, and how AI’s emerging ability to interpret video feeds on the fly can augment, and in some cases replace, the human eye in the OODA loop. I outline some of the implications for quality inspections, site assembly checks, and future-proofing industrial operations.
Additional Tools & Resources
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Disclaimer
The views expressed in this podcast are my own and do not constitute professional advice.
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