Numerical model illustrating flow focusingUT GeoFluids is managed by the University of Texas Institute for Geophysics (UTIG) and is currently supported by 10 energy companies at a cost of ~ $50,000/year. We are at the start of a 10-year effort entitled GeoFluids2020. Our results are used to predict pressure and stress, design stable and safe drilling programs, and predict hydrocarbon migration and entrapment. We study the state and evolution of pressure, stress, deformation and fluid flow through experiments, models, and field study:

  1. Experimental: We analyze fabric, acoustic, electrical, and material properties of mudrocks : 0.1-100 MPa.
  2. Poromechanical Modeling: We develop and apply coupled models to link realistic rheologies, deformation, stress (shear and normal), and pore pressure.
  3. Field Study: We analyze pore pressure, stress, and deformation in both conventional and unconventional basins.

We produce innovative concepts and analysis workflows that couple geology and geomechanics to predict and interpret pore pressure and stress in the subsurface. We have

  • developed online software that predicts reservoir pressure,
  • released databases and material models that describe mudrock material behavior, and
  • developed workflows to predict stress in salt systems and thrust belts.

Our new research aims to develop a unified approach that incorporates stress dependency, creep, mineralogical transformation, and loading path to illuminate the state and evolution of pressure and stress in basins. We are applying this approach to develop two and three-dimensional whole earth models that improve well design, real-time drilling, borehole stability, reservoir simulation and seismic imaging.

Click here for more details about the Consortium, or contact the Consortium Co-Directors, Dr. Peter Flemings and Dr. Jack Germaine.

Thank You! Annual Meeting

Thank you for making the 2023 UT GeoFluids Annual Meeting a success! It was an exciting and educational three days for us and we were happy to see so many take part. Talks have been uploaded and are available to UT GeoFluids members here. Browse photos from the event on our Flickr Album. To learn more about the meeting, visit UT GeoFluids Annual Meeting.

UT GEOFLUIDS 2024 ANNUAL MEETING
Our 15th Annual Meeting will take place February 28, 2024 – March 1, 2024 in Austin, Texas. The in-person program features a reception and poster session, industry talks, hands-on workshop, and a group dinner. We look forward to your participation. Updates will be posted here, check back soon for more information.

New Research Published. July 2023. Maria Nikolinakou published a significant research paper simulating pore pressure in thrust belts. See News to learn more.

ExxonMobil Rejoins UT GeoFluids. July 2023. We are thrilled to have ExxonMobil back with us at UT GeoFluids.

New UT GeoFluids Grad Student. June 2023. Tolulope Agbaje joined UT GeoFluids and is working on machine learning and pore pressure prediction.

UT GeoFluids 2023 Annual Meeting. Our 14th Annual Meeting took place March 8-10, 2023, in Austin, Texas. There were approximately 50 attendees and many vibrant discussions, particularly about interpreting leak-off pressure! Thank you to everyone who participated. For more information visit Annual Meetings.

Nikolinakou Presents Research at Energy Conferences. May 2022, Maria Nikolinakou presented research at the Offshore Technology Conference 2023 in Houston, on May 2, and at the inaugural Energy Geoscience Conference 2023 in Aberdeen, on May 18. See News to learn more.

New Grad Student Research. Landon Lockhart's study of the Delaware basin, published Feb. 2023 in Marine and Petroleum Geology, is a systematic approach to predict pore pressure in basins with late-stage or variable erosion.

Grad Student Wins Matson Award. September 2022. UT GeoFluids graduate student Kevin Meazell was awarded the AAPG Matson award. The award recognizes the best paper presented at last year's AAPG annual meeting.

View all UT GeoFluids publications on the publications page
Members can access copies of publications at the Member Area Publication Site
If you don't know your password please contact Peter Flemings.

2023

Nikolinakou, M.A., Flemings, P.B., Gao, B., Saffer, D.M., 2023, The Evolution of Pore Pressure, Stress, and Physical Properties During Sediment Accretion at Subduction Zones. JGR Solid Earth. https://doi.org/10.1029/2022JB025504

Lockhart, L.P., Flemings, P.B., Nikolinakou, M.A., Germaine, J.T., 2023, Velocity-based pore pressure prediction in a basin with late-stage erosion: Delaware Basin, Marine and Petroleum Geology. https://doi.org/10.1016/j.marpetgeo.2023.106159

2022
Meazell, K.P., Flemings, P.B., 2022, The evolution of seafloor venting from hydrate-sealed gas reservoirs. Earth and Planetary Science Letters. https://doi.org/10.1016/j.epsl.2021.117336.

You, K., Flemings, P.B., Bhandari, A., Heidari, M., Germaine, J.T., 2022, The role of creep in geopressure development. Petroleum Geoscience. https://doi.org/10.1144/petgeo2021-064

Zablocki, M., Germaine, J.T., Plumb, R., Flemings, P.B., 2022, The impact of clay fraction on the strength and stress ratio (K0) in Gulf of Mexico mudrocks and quartz silt mixtures: implications for borehole stability and fracture gradient. Petroleum Geoscience. https://doi.org/10.1144/petgeo2021-056

2021

Flemings, P.B, 2021, A Concise Guide to Geopressure: Origin, Prediction, and Applications, Cambridge University Press. Purchase

UT GeoFluids produces innovative concepts and analysis workflows that couple geologic loading and fluid flow to predict pore pressure and stress in the subsurface. These include:

  • UT Centroid: online software to predict reservoir pressure as a function of reservoir geometry and mudstone permeability.
  • Seismic Pressure Prediction Integrated with Geomechanical Modeling: a highly innovative workflow integrating seismic velocity data with geomechanical modeling to predict pressure and the full stress tensor.
  • UT-FAST-P3: An online, educational tool allowing users to predict and compare pore pressure using the full stress tensor while demonstrating why it is important to go beyond vertical effective stress (VES) models.

Learn more.