CO2 Mobility & Subsurface Transport Scientist

The University of Texas at Austin

Austin (TX)

On-site

USD 72,000 - 76,000

Full time

14 days+
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Job summary

The University of Texas at Austin's Bureau of Economic Geology seeks a CO2 transport specialist to quantify mobility, diffusion, and adsorption in tight shale rocks, integrating laboratory experiments with modeling for field-scale insight.

The role emphasizes high-pressure core testing, data analysis, and scripting in Python/MATLAB to develop predictive reservoir simulations and drive interdisciplinary collaboration. Austin, TX-based, in-person position.

Qualifications

  • MS in Petrophysics, Petroleum Engineering, Geomechanics, Chemical Engineering, Geosciences, or related geosystems discipline and at least 2 years of experience.
  • Strong capability in data analysis, scripting, or laboratory automation (Python, MATLAB, or LabVIEW).
  • Experience with high-pressure core experiments and petrophysical measurements (effective permeability, porosity) or fluid transport phenomena.

Responsibilities

  • Operate and modify gas expansion and liquid transient flow systems to measure CO2 mobility, permeability, diffusion, and adsorption.
  • Quantify rock-fluid interactions and transport degradation under dynamic confining stress to assess stress-sensitivity.
  • Upscale lab-derived parameters into compositional reservoir models for sensitivity studies and production forecasts.
  • Collaborate with lab formulation teams to translate fluid-interface mechanics into numerical transport constraints.

Skills

Data analysis
Scripting
Lab automation

Education

MS in Petrophysics/Geomechanics/Petroleum Engineering/Geosciences or related geosystems

Job description

The University of Texas at Austin's Bureau of Economic Geology seeks a CO2 transport specialist to quantify mobility, diffusion, and adsorption in tight shale rocks, integrating laboratory experiments with modeling for field-scale insight.

The role emphasizes high-pressure core testing, data analysis, and scripting in Python/MATLAB to develop predictive reservoir simulations and drive interdisciplinary collaboration. Austin, TX-based, in-person position.

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