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female petroleum engineering student at Texas A&M University studying a graph of data analysis results on a computer monitor

Research

Using advanced technology downhole to gather subsurface information has been a game-changer for oil and gas or geothermal operations. But filtering, interpreting, and modeling this massive amount of collected data to get the best answers for production needs is challenging. Better methods that push the limits of what humans and machines are capable of are called for to advance the search for solutions.

Focus Areas

Machine learning and data analytics specialties include:

  • Application of advanced statistical methods
  • Data-driven workflows on subsurface data generated for energy-related operations
  • Machine-learning and deep-learning algorithms

Faculty Researchers

Below is a list of petroleum engineering faculty members who perform research in one or more of these focus areas.

Akhil Datta-Gupta

  • Professor, Petroleum Engineering
  • L.F. Peterson '36 Chair I
  • University Distinguished Professor
  • Regents Professor
  • Interim Department Head, Petroleum Engineering
  • Affiliated Faculty, Chemical Engineering
  • Member, National Academy of Engineering
Akhil Datta-Gupta

Jihoon Kim

  • Associate Professor, Petroleum Engineering
  • Larry A. Cress '76 Faculty Fellow
Jihoon Kim

Hadi Nasrabadi

  • Associate Professor, Petroleum Engineering
  • Aghorn Energy Career Development Professor
  • Affiliated Faculty, Multidisciplinary Engineering
Hadi Nasrabadi

Rita Esuru Okoroafor

  • Assistant Professor, Petroleum Engineering
Rita Esuru Okoroafor

Kan Wu

  • Associate Professor, Petroleum Engineering
  • Class of ’75 DVG Associate Professor
Kan Wu

Rami Younis

  • Associate Professor, Petroleum Engineering
Rami Younis