Two companies with big presences in Houston are collaborating to provide hybrid intelligence with AI. Photo via Getty Images

Two tech companies have teamed up to accelerate artificial intelligence adaption in the energy industry.

Houston-based Radix announced a strategic partnership with data and artificial intelligence company Cognite, a Norwegian company that's expanded to the U.S. by way of Houston, and will aim to implement AI "to streamline and contextualize data management and asset performance across oil and gas, energy, petrochemicals, and manufacturing industries,” according to a news release.

Radix is a global technology solutions company with expertise in engineering, data and software technology, and operations. The partnership allows Radix to utilize Cognite’s Industrial DataOps platform, and Cognite Data Fusion. The combination of Cognite Data Fusion’s innovative technology and Radix’s engineering intelligence will aim to tackle the problem of extracting information from large data pools in non-integrated systems.

According to Radix, the utilization of hybrid intelligence with AI to sort through data in a more refined manner, companies will be able to more intelligently isolate problem areas and work on solutions. This will help with energy optimization, mass balance for production accounting, and inventory management for critical materials according to Radix. Hybrid intelligence can also help accelerate access to data across various independent systems.

“Our partnership with Cognite has shown that we can bring our unique expertise together to empower companies with the hybrid intelligent tools they need to get to the data that becomes valuable and actionable information," Global Head of Alliances & Practices at Radix Flavio Guimarães says in a news release. “With Cognite Data Fusion, we help businesses streamline their data, thus helping to boost decision-making with real-time insights and drive cost reductions across the organization.”

With Cognite Data Fusionn’s solutions aim to enhance scalability, usability, and overall value for users and businesses, in what Radix has called an Industrial Applications Library. Some solutions will be showcased from October 14-15 at Cognite Impact 2024 in Houston, which will include an operational view on actionable insights, improvement workflows for field process, improvements and operational efficiency, OEE monitoring and control, preventative insights for monitoring.

“The Industrial Applications Library creates added value to the digital transformation journey helping companies to achieve optimal operational excellence and significant cost savings for our customers," Trudi Hable, head of strategic alliances for North America at Radix, adds. “Radix’s expertise and intelligence will ensure that real-time information is being relayed to Cognite Data Fusion in an efficient manner, allowing for the right data to be brought to the right people.”

From left to right: Trudi Hable and Flavio Guimarães of Radix and Laxmi Akkaraji of Cognite. Photos courtesy of Cognite

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.

The secret to unlocking efficiency for the energy transition? Data management

SAVING THE BEST FOR LAST

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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Houston researchers earn $3.3M in DOE funding to develop safer underground power line installation

going under

Researchers from the University of Houston — along with a Hawaiian company — have received $3.3 million in funding to explore artificial intelligence-backed subsurface sensing system for safe and efficient underground power line installation.

Houston's power lines are above ground, but studies show underground power is more reliable. Installing underground power lines is costly and disruptive, but the U.S. Department of Energy, in an effort to find a solution, has put $34 million into its new GOPHURRS program, which stands for Grid Overhaul with Proactive, High-speed Undergrounding for Reliability, Resilience, and Security. The funding has been distributed across 12 projects in 11 states.

“Modernizing our nation’s power grid is essential to building a clean energy future that lowers energy costs for working Americans and strengthens our national security,” U.S. Secretary of Energy Jennifer M. Granholm says in a DOE press release.

UH and Hawaii-based Oceanit are behind one of the funded projects, entitled “Artificial Intelligence and Unmanned Aerial Vehicle Real-Time Advanced Look-Ahead Subsurface Sensor.”

The researchers are looking a developing a subsurface sensing system for underground power line installation, potentially using machine learning, electromagnetic resistivity well logging, and drone technology to predict and sense obstacles to installation.

Jiefu Chen, associate professor of electrical and computer engineering at UH, is a key collaborator on the project, focused on electromagnetic antennas installed on UAV and HDD drilling string. He's working with Yueqin Huang, assistant professor of information science technology, who leads the geophysical signal processing and Xuqing Wu, associate professor of computer information systems, responsible for integrating machine learning.

“Advanced subsurface sensing and characterization technologies are essential for the undergrounding of power lines,” says Chen in the release. “This initiative can enhance the grid's resilience against natural hazards such as wildfires and hurricanes.”

“If proven successful, our proposed look-ahead subsurface sensing system could significantly reduce the costs of horizontal directional drilling for installing underground utilities,” Chen continues. “Promoting HDD offers environmental advantages over traditional trenching methods and enhances the power grid’s resilience.”

Aramco partners to demonstrate compact carbon capture technology for gas turbines

dream team

Integrated energy and chemicals company Aramco has signed a collaboration agreement with Carbon Clean and SAMSUNG E&A in an effort to showcase new carbon capture technology.

The technology demonstration will be used to deploy Carbon Clean’s novel CycloneCC technology to capture CO2 from natural gas turbine exhaust streams containing approximately 4 percent CO2, according to Aramco.

Carbon Clean, which U.S. headquarters are located in Houston at the Ion, boasts technology that has captured nearly two million tons of carbon dioxide at almost 50 sites around the world. Aramco’s U.S. headquarters is also in Houston.

“The potential for CycloneCC in the US and Houston area is huge,” Aniruddha Sharma, chair and CEO of Carbon Clean, previously shared with EnergyCapital. “It is optimised for low to medium scale industrial emitters and recent Rice University research on the US Gulf Coast, for example, found that it is well suited to 73 percent of Gulf Coast emitters.”

The modular CycloneCC unit has a 50 percent smaller footprint compared to conventional carbon capture processes. The CycloneCC technology is estimated to reduce the total installed cost of carbon capture systems by up to 50 percent compared to conventional systems if successful. The goal is to also maintain process efficiency even at low CO2 concentrations. CycloneCC’s performance is achieved through two process intensification technologies, rotating packed beds (RPBs) and Carbon Clean’s proprietary APBS-CDRMax solvent.

“Its compact, modular design should be easily integrated with gas turbines, delivering high performance carbon capture in an industrial setting where space is typically limited,” Sharma says in a news release.

The engineering, procurement and construction of the plant will be done by SAMSUNG E&A .The unit will be installed on the sales gas compressor turbine exhaust gas stack,which can provide performance data under real-world conditions.

“Aramco and Samsung Ventures are investors in Carbon Clean, so we’re proud to deepen our relationship through this partnership,” Sharma adds. “This first-of-a-kind deployment capturing very low concentrations of CO2 is a key milestone in scaling up and commercializing CycloneCC.”

In September, Carbon Clean also announced a deal with PETRONAS CCS Solution to collaborate and evaluate Carbon Clean’s carbon capture and storage technology with Carbon Clean's CycloneCC tech. Last year, Abu Dhabi National Oil Co. (ADNOC) selected Carbon Clean for a carbon capture project in Abu Dhabi.