looking forward

Report: College enrollment in petroleum programs — including in Texas — sees historic drop

The future of the oil and gas workforce isn't looking too bright when it comes to recruiting, the Wall Street Journal reports. Photo via Getty Images

Student enrollment in petroleum engineering programs at universities — including Texas schools — has dropped significantly, according to a recent report.

This prospective energy workforce is concerned about job security as the industry moves forward in the energy transition, reports the Wall Street Journal. The number of students enrolled in petroleum engineering programs has decreased to its lowest point in a decade, the WSJ found, breaking the typical cycle, which "ebbed and flowed" alongside the price of oil.

This decline is estimated as a 75 percent drop in enrollment since 2014, Lloyd Heinze, a Texas Tech University professor, tells the WSJ. The article specifies that the University of Texas at Austin has seen a 42 percent decline since its peak enrollment in 2015, and Texas A&M University has dropped 63.3 percent. Both schools' petroleum engineering programs are ranked No. 1 and No. 2, respectively, by U.S. News and World Report. Texas Tech, which ties with the University of Houston at No. 9 on the U.S. News report, has seen a 88.1 percent decline since its peak in 2015. UH data wasn't included in the article.

The article highlights declines at Colorado School of Mines (87.7 percent), Louisiana State University (89 percent), and University of Oklahoma (90 percent) since their peak enrollment in 2015.

A decline in future workforce for the energy industry would directly affect Houston's economy. According to the 2023 Houston Facts report from the Greater Houston Partnership, Houston held 23.8 percent of the nation’s jobs in oil and gas extraction (33,400 of 140,200) 17.0 percent of jobs in oil field services (33,600 of 198,100), and 9.6 percent of jobs in manufacturing of agricultural, construction and mining equipment (20,400 of 212,000), based on data from the U.S. Bureau of Labor Statistics.

Barbara Burger tells the WSJ that new climatetech-focused startups have emerged and become more attractive to both college graduates and current oil and gas workforce. “There’s competition in a way that probably wasn’t there 15 years ago,” she shares.

The lack of college student pipeline paired with the diminishing workforce from emerging companies poses a challenge to incubant energy corporations, many of which have invested in programs at schools to better attract college graduates. The WSJ article points to BP's $4 million fellowship program with U.S. universities announced in February.

Just this week, Baker Hughes granted $100,000 to the University of Houston's Energy Transition Institute, which was founded last year with backing from Shell. In a recent interview with EnergyCapital, Joseph Powell, founding director of UH Energy Transition Institute, explains how the institute was founded to better engage with college students and bring them into the transitioning industry.

"It takes a lot of energy to process chemicals, plastics, and materials in a circular manner," he says. "Developing that workforce of the future means we need the students who want to engage in these efforts and making sure that those opportunities are available across the board to people of all different economic backgrounds in terms of participating in what is going to be just a tremendous growth engine for the future in terms of jobs and opportunities."

Clean energy jobs are already in Texas, and are ripe for the taking, according to a recent SmartAsset report that found that 2.23 percent of workers in the Houston area hold down jobs classified as “green.” While oil and gas positions are still paying top dollar, these clean energy jobs reportedly pay an average of 21 percent more than other jobs.

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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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