Failed farming teaches the importance of SMEs in the AI and data center revolution and one company reworks its business model to reduce emissions and power costs. 
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Tuesday, 25 February 2025 / Edition 47

Did you know March is coming on Saturday? Gah! Two months in, and I feel like this year has been absolutely flying by. With the release of the new Genmojis, which allow the user to create their own emoji using Apple Intelligence, I've been wondering: What emoji would best represent 2025 to date?

 

This week, we review why SMEs like us geoscientists are important inclusions in technical advances and a potentially powerful use for compost 😬 Let dig in!

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Sarah Compton

 

Editor, Enspired

A Lesson in What NOT to Do With Budding Tech

Dos to Donts sign_FrankHH

Frank HH/Shutterstock.com

AI and tech evolve and iterate so swiftly that the pace seems unfathomable—especially for us geoscientists who are used to working with systems that move relatively slowly.

 

SMEs needed: However, that tech means nothing without knowledgeable people to guide it. They need us geos at the tech tables as leaders build AI and ML models with oil and gas applications.

 

Important information can be otherwise overlooked, and those missing details can have a devastating impact on the efficacy of any tech implemented. A Hawaiian company called Sensei Farms recently learned that the hard way.

 

About the company: Sensei Farms was started by Larry Ellison—one of the founders of Oracle—as an agricultural company focused on feeding the world using crops grown on Lanai with updated, high-tech agricultural and greenhouse techniques.

 

Ellison had chosen Lanai because it has a permanent population of just over a thousand people, but after a century or so of questionable pineapple agricultural practices, those people cannot grow food on the island.

 

What went wrong: The premise sounds great, and the founder backing the company had a very solid track record, so what happened here?

 

The short answer is, they picked the wrong SMEs as consultants.

  • Sensei thought greenhouse technology hadn’t evolved in nearly 400 years and aimed to update it. Greenhouse experts, however, say there have been significant advances.

  • Recognizing their lack of knowledge in the space, Ellison hired an Israeli firm to build the greenhouses. The firm didn’t take into account Lanai’s humidity and propensity for 80 mile-per-hour gusts, which made quick work of the company’s greenhouse roofs and contributed to a price increase from about $12 million to $50 million.

  • A partnership with Tesla made off-grid power seem like a sure thing, but the panels rarely worked. High winds showered them with dirt and debris, and there’s some question around proper installation (or lack thereof).

  • Ellison also had issues figuring out which crops to grow: Costs meant restorative farming wasn’t an option, and high-end fruit isn’t exactly a booming market. It seems like he might have built the greenhouses before he settled on which crop he was growing, which restricted his choices even further.

What they are saying: “The vision was so big. And then it just slowly got whittled away as we faced up to realities of implementing on Lanai,” said En Young, a former general manager of the Lanai facility. 

 

Why it matters: So, what does failed farming have to do with oil and gas technology?

 

Ellison and the Sensei leadership needed to ask the right people the right questions: They needed to consult with local farmers about humidity, crop costs, etc. in the same way that tech companies with budding AI models need us geos to help apply their models within oil and gas.

 

We know the industry. We know the ins and outs of the tasks we perform and how each task might best benefit from automation. We know how we would use their technology if we had it and the implementation barriers that might rear their heads along the way.

 

The bottom line: Our industry can learn from this failure what not to do with new tech and the importance of consulting the right experts.

 

There’s more to this story about Sensei which you should learn about here.

A Message From AAPG Academy and AWS for Energy and Utilities

27-Feb-25-Webinar

Join AAPG Academy and Amazon Web Services for Energy and Utilities for a free upcoming webinar on 27 February at 9am CST to learn more about how cutting-edge AI applications are empowering geoscientists to drive critical business decisions. 

 

Entitled From Data to Discovery: AI's Game-Changing Role in Geoscience, the webinar will showcase a presentation from expert speaker Chris Hanton, product lead-energy data insights AI and HPC application at AWS. Hanton will discuss how industry leaders are:

  • Using AI to transform complex data into actionable insights
  • Streamline workflows
  • Solve real-world challenges
REGISTER NOW

When Adaptability Proves Promising

AI datacenter_Pinglingz

Pinglingz/Shutterstock.com

A well-known adage for geoscientists, especially with our maps, is “garbage in/garbage out,” but one company is turning that on its head by using garbage to fuel its data centers.

 

Chainergy, a United Kingdom-based datacenter startup founded in 2022, realized it might not be able to plug into the power grid until 2030.

 

That drove company leaders to think about how to sidestep the grid and generate their own power, shifting Chainergy’s business model.

 

What they did:

  • Rather than bring the grid to them, Chainenergy would have to bring its data centers to the power source, so Chainenergy modularized its data centers, building the infrastructure inside enclosures similar to shipping containers.

  • As they started searching for power sources, they realized some renewable generator sites had excess capacity that couldn’t be sold to the grid due to infrastructure shortcomings that restricted how much power companies could export.

  • One such site was producing biogas—where food or agricultural waste undergoes anaerobic digestion, resulting in biomethane that can power generators to create electricity—which can be sold to the grid.

What they are saying: “In this instance, [that company] had 15 percent more energy that they could generate than that they could actually sell to the grid. So, we took that excess electricity to our small modular datacenter,” co-founder and CEO James Behan, explained.

 

Who Chainergy will reach: Although on-prem deployments are working to have a bit of a moment right now, Chainergy sees a place for what they do in both cloud and on-prem.

 

The company will initially offer “GPU as a service” to customers, as well as privately connected corporate clients, becoming an extension of their on-premises datacenter.

 

Why it matters: Aside from getting the power they need, Behan claims that by eliminating grid costs and utility margins, Chainergy is able to get power 44 percent cheaper and emit 70 percent fewer CO2 emissions.

 

Read more about Chainergy here.

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