ribbon cutting

University of Houston opens new hydrocarbon center

UH cut the ribbon on a new hub for hydrocarbon exploration. Photo courtesy of UH

The University of Houston has officially opened the doors of a new hub for hydrocarbon exploration.

UH Energy recently unveiled its UH-DGH Center for Hydrocarbon Exploration, which is a partnership between the University of Houston and the technical arm of India’s Ministry of Petroleum and Natural Gas, Directorate General of Hydrocarbons, or DGH. The collaboration was announced in February.

The center will serve as a data center focused on India’s offshore basins, and its geoscience data to investigate production data and exploration.

"We have been thinking about this for multiple years, about how to get all this fantastic data that is there in the Directorate General of Hydrocarbons of India, use the repository of information that we have got and be able to showcase it to people in the United States where they've got the approach to go in and find oil and gas and other natural resources in ways that are perhaps truly unique and Texan in origin,” says Dr. Ramanan Krishnamoorthy, vice president of energy and innovation at UH during the event.

The event featured UH dignitaries, alum, and subject-matter experts like Rob Stewart, professor of geophysics, and David Hume, business development specialist and geoscience specialist, which included in-depth analysis of India basins that focused on geological and geophysical locations, physiographical and tectonic settings, the role of hydrocarbon elements, and other areas of interest.

The center is part of a five-year agreement to help generate reliable information on the energy industry with seismic, well, reservoir and production data being at the forefront.

“UH and India have been able to come together and bring this to reality, for us this is very inspirational,” says Pankaj Jain, Secretary, Ministry of Petroleum and Natural Gas, Government of India. “We think that we are actually planting a seed for something very, very good because the multiplier effects of this are going to be incredible.”

Strategically located in Houston, which many consider an “energy capital,” Jain is excited for a set of “fresh eyes” to look at the data.

“If you’re here [in Houston], you’re at the nucleus from where everything will evolve,” Jain says to the University of Houston.

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A View From HETI

Meta will use electricity generated by one of ENGIE's Texas solar farms to power its U.S. data centers. Photo via engie.com.

Meta, the parent company of social media platform Facebook, has agreed to buy all of the power from a $900 million solar farm being developed near Abilene by Houston-based energy company ENGIE North America.

The 600-megawatt Swenson Ranch solar farm, located in Stonewall County, will be the largest one ever built in the U.S. by ENGIE. The solar farm is expected to go online in 2027.

Meta will use electricity generated by the solar farm to power its U.S. data centers. All told, Meta has agreed to purchase more than 1.3 gigawatts of renewable energy from four ENGIE projects in Texas.

“This project marks an important step forward in the partnership between our two companies and their shared desire to promote a sustainable and competitive energy model,” Paulo Almirante, ENGIE’s senior executive vice president of renewable and flexible power, said in a news release.

In September, ENGIE North America said it would collaborate with Prometheus Hyperscale, a developer of sustainable liquid-cooled data centers, to build data centers at ENGIE-owned renewable energy and battery storage facilities along the I-35 corridor in Texas. The corridor includes Austin, Dallas-Fort Worth, San Antonio and Waco.

The first projects under the ENGIE-Prometheus umbrella are expected to go online in 2026.

ENGIE and Prometheus said their partnership “brings together ENGIE's deep expertise in renewables, batteries, and energy management and Prometheus' highly efficient liquid-cooled data center design to meet the growing demand for reliable, sustainable compute capacity — particularly for AI and other high-performance workloads.”

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