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The secret to unlocking efficiency for the energy transition? One exec says data governance

Nick Purday, IT director of emerging digital technology for ConocoPhillips, presented at the Reuters Events Data-Driven Oil and Gas Conference 2023 to help dispel any myths about digital twins. Photo courtesy of Shuttershock.

As Nick Purday, IT director of emerging digital technology for ConocoPhillips, began his presentation at the Reuters Events Data-Driven Oil and Gas Conference 2023 in Houston yesterday, he lamented at missing the opportunity to dispel any myths about digital twins given his second-to-last time slot of the conference.

He may have sold himself short.

No less than a hush fell over the crowd as Purday described one of the more challenging applications of digital twins his team tackled late last year. Purday explained, “The large diagram [up there], that’s two trains from our LNG facility. How long did that take to build? We built that one in a month.”

It’s been years since an upstream oil and gas audience has gasped, but Purday swept the crowd with admiration for the swift, arduous task undertaken by his team.

He then addressed the well-known balance of good/fast/cheap in a rare glimpse under the hood of project planning for such novel technology. “As soon as you move into remote visualization applications – think Alaska, think Norway – then you’re going to get a pretty good return on your investment. Think 3-to-1,” Purday explains. “As you would expect, those simulation digital twins, those are the ones where you get huge value. Optimizing the energy requirements of an LNG facility – huge value associated with that.

“Independently, Forrester did some work recently and came up with a 4-to-1 return, so that fits exactly with our data set,” Purday continued before casually bringing up the foundation for their successful effort.

“If you’ve got good data, then it doesn’t take that long and you can do these pretty effectively,” Purday stated plainly.

Another wave of awe rippled across the room.

In an earlier panel session, Nathan McMahan, data strategy chief at CoP, commented on the shared responsibility model for data in the industry. “When I talked to a lot of people across the organization, three common themes commonly filtered up: What’s the visibility, access, and trust of data?” McMahan observed.

Strong data governance stretches across the organization, but the Wells team, responsible for drilling and completions activity, stood out to McMahan with its approach to data governance.

“They had taken ownership of [the] data and partnered with business units across the globe to standardize best practices between some of the tools and data ingestion methods, even work with suppliers and contractors, [to demonstrate] our expectations for how we take data,” McMahan explained. “They even went a step further to bring an IT resource onto their floor and start to create roles of the owners and the stewards and the custodians of the data. They really laid that good foundation and built upon that with some of the outcomes they wanted to achieve with machine learning techniques and those sorts of things.“

The key, McMahan concluded, is making the “janitorial effort [of] cleaning up data sustainable… and fun.”

The sentiment of fun continued in Purday's late afternoon presentation as he explained how the application went viral upon sharing it with 1 or 2 testers, crashing the email of the lead developer responsible for managing the model as he was flooded with questions and kudos.

Digital twin applications significantly reduce the carbon footprint created by sending personnel to triage onsite concerns for LNG, upstream, and refining facilities in addition to streamlining processes and enabling tremendous savings. The application Purday described allowed his team to discover an issue previously only resolved by flying someone to a remote location where they would likely spend days testing and analyzing the area to diagnose the problem.

The digital twin found the issue in 10 minutes, and the on-site team resolved the problem within the day.

The LNG operations team now consistently starts their day with a bit of a spark, using the digital twin during morning meetings to help with planning and predictive maintenance.

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A View From HETI

Researchers from Rice University say their recent findings could revolutionize power grids, making energy transmission more efficient. Image via Getty Images.

A new study from researchers at Rice University, published in Nature Communications, could lead to future advances in superconductors with the potential to transform energy use.

The study revealed that electrons in strange metals, which exhibit unusual resistance to electricity and behave strangely at low temperatures, become more entangled at a specific tipping point, shedding new light on these materials.

A team led by Rice’s Qimiao Si, the Harry C. and Olga K. Wiess Professor of Physics and Astronomy, used quantum Fisher information (QFI), a concept from quantum metrology, to measure how electron interactions evolve under extreme conditions. The research team also included Rice’s Yuan Fang, Yiming Wang, Mounica Mahankali and Lei Chen along with Haoyu Hu of the Donostia International Physics Center and Silke Paschen of the Vienna University of Technology. Their work showed that the quantum phenomenon of electron entanglement peaks at a quantum critical point, which is the transition between two states of matter.

“Our findings reveal that strange metals exhibit a unique entanglement pattern, which offers a new lens to understand their exotic behavior,” Si said in a news release. “By leveraging quantum information theory, we are uncovering deep quantum correlations that were previously inaccessible.”

The researchers examined a theoretical framework known as the Kondo lattice, which explains how magnetic moments interact with surrounding electrons. At a critical transition point, these interactions intensify to the extent that the quasiparticles—key to understanding electrical behavior—disappear. Using QFI, the team traced this loss of quasiparticles to the growing entanglement of electron spins, which peaks precisely at the quantum critical point.

In terms of future use, the materials share a close connection with high-temperature superconductors, which have the potential to transmit electricity without energy loss, according to the researchers. By unblocking their properties, researchers believe this could revolutionize power grids and make energy transmission more efficient.

The team also found that quantum information tools can be applied to other “exotic materials” and quantum technologies.

“By integrating quantum information science with condensed matter physics, we are pivoting in a new direction in materials research,” Si said in the release.

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