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Houston expert: Why climate action needs better PR and how to love the climate apocalypse

Houston climate tech founder weighs in on his observations on what's true, what's exaggerated, and what all humans can agree on about the climate crisis. Photo via Getty Imagees

The last thing anyone wants in 2024 is a reminder of the impending climate apocalypse, but here it is: There is a scientific consensus that the world climate is trending towards uninhabitable for many species, including humans, due in large part to results of human activity.

Psychologists today observe a growing trend of patients with eco-anxiety or climate doom, reflecting some people’s inability to cope with their climate fears. The Edelman Trust Barometer, in its most recent survey respondents in 14 countries, reports that 93 percent “believe that climate change poses a serious and imminent threat to the planet.”

Until recently reviewing this report, I was unaware that 93 percent of any of us could agree on anything. It got me thinking, how much of our problem today is based on misunderstanding both the nature of the problem and the solution?

We’ve been worried for good reason before 

It’s worth keeping in mind that climate change is not the first time smart people thought humans were doomed by our own successes or failures. Robert Malthus theorized at the end of the 18th century that projected human fertility would certainly outpace agricultural production. Just a century and a half later, about half of all Americans expected a nuclear war, and the number jumped to as high as 80 percent expecting the next war to be nuclear. Yes, global hunger and nuclear threats still exist, but our results have outperformed the worst of those dire projections.

We are worried for good reason today 

Today changing climate conditions have grabbed the headlines. The world’s climate is changing at a rate faster than we can model effectively, though our best modeling suggests significant, coordinated, global efforts are necessary to reverse current trends. While there’s still lots to learn, the consensus is that we are approaching a global temperature barrier across which we may not be able to quickly return. These conclusions are worrisome.

How did we get here?

Our reliance on hydrocarbons is at the heart of our climate challenge. If combusting them is so damaging, why do we keep doing it? We know enough about our human cognitive biases to say that humans tend to “live in the moment” when it comes to decision making. Nobel Prize-winning economic research suggests we choose behaviors that reward us today rather than those with longer term payoffs. Also, changing behaviors around hydrocarbons is hard. Crude oil, natural gas and coal have played a central role in the reduction of human suffering over time, helping to lift entire populations out of poverty, providing the power for our modern lives and even supplying instrumental materials for clothes and packaging. It’s hard to stop relying on a resource so plentiful, versatile and reliable.

How do we get out of here?

Technological advances in the future may help us address climate in new and unexpected ways. If we do nothing and hope for the best, what’s the alternative? We can take confidence that we’ve addressed difficult problems before. We can also take confidence that advancements like nuclear, solar, geothermal and wind power are already supplementing our primary reliance on hydrocarbons.

The path forward will be extending the utility of these existing alternatives and identifying new technologies. We need to reduce emissions and to withdraw greenhouse gasses (GHGs) that have already been emitted. The nascent energy transition will continue to be funded by venture capitalists, government spending/incentives and private philanthropy. Larger funding sources will come from private equity and public markets, as successful technologies compete for more traditional sources of capital.

Climate Tech will be a large piece of the climate puzzle

My biases are likely clear: the same global capitalism that brought about our complicated modern world, with its apparent abundance and related climate consequences, has the best chance to save us. Early stage climate tech funding is increasing, even if it’s still too small. It has been observed that climate tech startups receiving funding today fail to track solutions for industries in proportion to their related production of GHGs. For instance, the agriculture and food sector creates about 18 percent of global GHGs, while climate tech companies seeking to address that sector receive about 9 percent of climate tech funding. These misalignments aside, the trendlines are in the right direction.

What can you do?

From a psychological perspective, healthy coping means making small decisions that address your fears, even if you can’t eliminate the root causes. Where does that leave you?

Be a voice for reasonable change. Make changes in your behavior where and when you can. Also, take comfort when you see existing industries adopting meaningful sustainable practices at faster rates. Support the companies you believe are part of the solution.

We are already seeing a burgeoning climate tech industry across the globe and here at home. With concerted efforts like the Ion and Greentown Labs, the Houston climate tech sector is helping to lead the charge. In what was even recently an unthinkable reality, the United States has taken a leadership role. Tellingly, we are not leading necessarily by setting targets, but instead by funding young startups and new infrastructure like the hydrogen hubs. We don’t know when or where the next Thomas Edison will emerge to shine a new light in a dark world. However, I do suspect that that woman or man is alive today, and it’s our job to keep building a world worth that person saving.

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Chris Wood is the co-founder of Houston-based Moonshot Compost.

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A View From HETI

Collide has rolled out RIGGS, a large language model for energy professionals. Photo via Getty Images

Houston-based Collide is looking to solve AI issues in the energy industry from within.

Co-founded by former oil roughneck Collin McLelland, the company has developed AI software for operators and field teams, shaped by firsthand oilfield experience. Its AI-native platform “retrieves and synthesizes data from authoritative sources to deliver accurate, cited, and energy-focused insights to oil and gas professionals,” according to the company.

“Oil and gas has a graveyard full of technology that was technically impressive and operationally useless,” McLelland tells Energy Capital. “The reason is almost always the same: the people who built it didn't understand what they were actually solving for. When you're an outsider, you see workflows and try to automate them. When you're an insider, you understand why those workflows exist—the regulatory constraints, the physical realities, the liability concerns, the trust dynamics between operators and service companies.”

Collide’s large language model, known as RIGGS, performed well in recent benchmarking results when taking a standardized petroleum engineering (SPE) exam, the company reports. The exam assesses understanding from conceptual terminology to complex mathematical problem-solving.

According to Collide, RIGGS achieved a score of 67.5 percent on a 40-question subset of the SPE petroleum engineering exam, outperforming other large language models like Grok 4 (62.5 percent), Claude Sonnet 4.5 (52.5 percent) and GPT 5.1 (4 percent).

RIGGS completed the test in 15 minutes, while Grok took two hours. Collide hopes over the next few months, RIGGS will receive a score between 75 percent to 80 percent accuracy.

The software could potentially help oil and gas companies produce accurate outputs and automate trivial workflows, which can open up valuable time for engineers and teams to work on other pressing matters, according to McLelland.

“Collide exists because we sat in those seats — we were the engineers, the operators, the field guys,” he says. ”RIGGS scoring higher on the PE exam versus the frontier labs isn't a party trick. It's evidence that the model understands petroleum engineering the way a petroleum engineer does, because it was built by people who do.”

RIGGS was trained on Collide’s Spindletop hardware and is supported by a vast library of information, as well as a reasoning engine and validation layer that uses logic to solve problems.

“Longer term, we see RIGGS as the intelligence layer that sits underneath every operator's workflow — not a chatbot you open in a browser, but something embedded in the tools engineers already use,” McLelland says. “The goal is to give every engineer the knowledge and pattern recognition of a 30-year veteran, on demand."

According to McLelland, Collide is already building toward reservoir analysis and production optimization, automated regulatory compliance (Railroad Commission filings, W-10s, G-10s), workover report generation, and engineering decision support in the field for near-term use cases. In March, Collide and Texas-based oil and gas operator Winn Resources announced a collaboration to automate the time-intensive process of filing monthly W-10 and G-10 forms with the Texas Railroad Commission, completing what’s normally a multi-hour task in under 30 minutes. Collide reports that Winn’s infrastructure now automates regulatory filings and provides real-time visibility into data gaps, which has reduced processing time by over 95 percent.

“Before Collide, I'd spend hours manually keying in filings,” Buck Crum, director of operations, said in a news release. “(In March), we had 50 wells to file and I was done in 20 minutes. It does the majority of the heavy lifting while keeping me in control. That human-in-the-loop approach saves meaningful time and gives us greater confidence in our compliance and reporting.”

Collide was originally launched by Houston media organization Digital Wildcatters as “a professional network and digital community for technical discussions and knowledge sharing.” After raising $5 million in seed funding led by Houston’s Mercury Fund last year, the company said it would shift its focus to rolling out its enterprise-level, AI-enabled solution.

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