Landon's research is focused on characterizing the pressures and stresses in complex geologic settings. Specifically, his research integrates geomechanical modeling, experimental analysis, and field data at the Mad Dog Field, deepwater Gulf of Mexico. The title of Landon's thesis is "New Pore Pressure Prediction Workflow to Capture the Effects of Mean Effective Stress and Deviatoric (shear) stress at the Mad Dog Field."
Landon has also recently developed a new online software tool (UT-FAST-P^3) to predict pore pressure based on mean- and shear-stress. The software is expected to be available on the UT GeoFluids website by November 2017.
Integrated Approach to Pressure Prediction at Mad Dog, Gulf of Mexico, UT GeoFluids, Austin, TX (2017)
Pressure Prediction in a Non-uniaxial Setting Based on Velocities and Geomechanical Modeling: Mad Dog Field, Gulf of Mexico, The University of Texas at Austin, Master's Saturday, Austin, TX (2017)
Pressure Prediction in a Complex Stress Field Based on Field Data and Geomechanical Modeling: Mad Dog Field, American Association of Petroleum Geologists, Houston, TX (2017)
Application of Enhanced Geomechanical Workflow to Predict Pressure at Mad Dog Wells, UT GeoFluids, Austin, TX (2016)
Pressure Prediction in Non-uniaxial Settings Based on Field Data and Geomechanical Modeling: A Well Example, American Geophysical Union, San Fransicso, CA (2016)