new hires

Houston energy financial firm names new execs

Jason Kivett and Robyn Underwood join Houston-based energy finance firm Pickering Energy Partners. Photo courtesy of PEP

A firm focused on financial services within the energy sector has named two former Barclays investment bankers to its team.

Pickering Energy Partners announced that Jason Kivett and Robyn Underwood will join PEP to lead its traditional Energy Investment Banking Practice as managing directors. The team Kivett and Underwood join focuses on traditional oil and gas and will partner with the existing Renewables and Energy Transition advisory team, per a news release.

"Our clients turn to us for our dedication to the energy sector, and our ability to get deals done," Dan Pickering, chief investment officer of Pickering Energy Partners, says in a news release. “As the industry seeks more innovative financial solutions than ever before, our team is ready to support that demand."

With the expansion of this team, PEP has more than doubled its M&A advisory and capital raising team and its advisers worked on over $100 billion in transactions across corporate mergers, acquisitions, and more.

PEP also announced that Osmar Abib has joined the PEP Advisory Board. He worked over two decades with Credit Suisse and served most recently as the chairman of the Global Energy Group based in Houston and New York.

Another addition to the firm’s expanding investment banking platform, Osmar Abib joins the PEP Advisory Board. Abib provides rich market insights based on his experience as the former Global Head of Energy Investment Banking for Credit Suisse.

“Experience matters and we appreciate the deeply rooted relationships our new team members have developed over their careers,” Walker Moody, president of Pickering Energy Partners, adds in the release. “The PEP Investment Banking team knows energy, and they understand operators. We continue to play offense and bring on talented, experienced professionals to benefit our clients.”

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A View From HETI

A View From UH

A University of Houston team looked into what areas in Houston had the highest impact on emissions and how certain meteorological factors play into ozone formation. Photo via UH.edu

A team of researchers at the University of Houston are using machine learning to help guide pollution fighting strategies.

As reported in the journal Environmental Pollution last month, the team used the SHAP algorithm of machine learning (a game theory approach) and the Positive Matrix Factorization to pinpoint what areas in Houston had the highest impact on emissions and how certain meteorological factors play into ozone formation.

The paper was authored by Delaney Nelson, a doctoral student at the Department of Earth and Atmospheric Sciences of UH, and Yunsoo Choi, corresponding author and professor of atmospheric chemistry, AI deep learning, air quality modeling and satellite remote sensing.

The team's research closely tracked nitrogen-based compound and volatile organic compound measurements from Texas Commission on Environmental Quality's monitoring stations in the Houston area. After importing measurements from The Lynchburg Ferry station in Houston's ship channel and the urban Milby Park station, the machine learning and SHAP analysis showed a chemically definitive difference between the two areas.

For example, at the industrial station, the most impactful sources of pollution were from oil and gas flaring/production. At the urban site n_decane and industrial emissions/evaporation had the most impact on ozone.

According to Nelson and Choi, this shows that the machine learning and SHAP analysis approach can be used to tailor more precise air quality management strategies in different areas based on the site's unique characteristics.

“Once we know the specific emission sources and factors, we can develop targeted strategies to reduce emissions, which will in turn reduce ozone in the air and make it healthier for everyone," Choi said in a statement.

“Pollution is a critical issue in Houston, where you have extreme high heat and high concentration of ozone in the summers. The types of insights we got are very useful information for the local community to develop effective policies. That’s why we put our time, effort and technological expertise into this project," he continued.

Next the team envisions applying their approach in different cities and across the country.

“Austin, San Antonio and Dallas all have different characteristics, so I expect (volatile organic compound) sources will also be different,” Choi said. “Identifying VOC sources in different cities is very important because each city should have its own unique pollution fighting strategy.”

This summer, the City of Houston released an updated report on its major strategies to combat climate change and build a more resilient future for its residents.

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