
Petroleum Engineering
Texas A&M researchers will work to harness energy from petroleum by extracting hydrogen while leaving the carbon underground.
A Texas A&M researcher is investigating how to recover valuable elements contained in produced water, a byproduct of oil and gas operations.
Former Student, Houston-based Energy Leader Appointed To Foundation Board
Jul 10, 2023 • 4 min. readDavid Dunlap ’83, for whom the Dunlap Drill Field at the Music Activities Center is named, is known for his dedication to his alma mater.
Texas A&M Researchers Aim To Accurately Monitor Subsurface Carbon Dioxide Storage
Apr 27, 2022 • 4 min. readTheir novel monitoring system can rapidly monitor carbon dioxide sequestered underground.
Student Explores Applications Of 3D Printing In Well Stimulation Research
Jan 6, 2022 • 4 min. readA Texas A&M petroleum engineering graduate student developed a novel approach to understanding proppant transport and fracture flows.
New Algorithm Efficiently Diagnoses Shale Fracture Results From Fiber-Optic Data
Nov 23, 2021 • 4 min. readClear feedback of fracturing processes is now possible thanks to an advanced algorithm developed by researchers at Texas A&M and the Colorado School of Mines.
Captured Water, Carbon Dioxide From Car Exhaust Could Help Grow Food
Sep 14, 2021 • 4 min. readTexas A&M researchers have a novel idea to capture carbon dioxide and water from passenger car exhaust and use them in urban greenhouses for food production.
Physics-Based Instruction Leads To Huge Success For Geothermal Drilling
Jun 11, 2021 • 6 min. readDepartment of Energy funding is helping Texas A&M researchers refine drilling methods and create cost-saving models for future geothermal energy companies.
Underground Noise Reveals Fracture Pathways Needed For Energy Production
Mar 30, 2021 • 5 min. readA Texas A&M graduate student interprets passive sounds from fractured rock to catalog and map the subsurface channels needed for geothermal energy.
Positive Reinforcements Help Algorithm Forecast Underground Natural Reserves
Feb 23, 2021 • 5 min. readTexas A&M researchers designed a new reinforcement-based system that automates the prediction of subsurface environments.