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.

Registration for the UT GeoFluids 2020 Annual meeting is now open. To register, visit the event website.

August 26, 2019: Maria Nikolinakou visited the Geological Sciences department at The University of Texas at El Paso and was the first seminar speaker for the Fall 2019 semester. Maria also spent time with students from the salt groups of Dr. Giles and Dr. Langford.

August 1, 2019: Petroleum Geoscience has published the first part of a new thematic set on the mechanics of salt systems by Maria Nikolinakou, Rajesh Goteti (Saudi Aramco), and Mahdi Heidari. Volume one was published in the journal's August edition, which also marks their 25th anniversary.

GeoFluids update: We are pleased to announce that Petrobras has joined the UT GeoFluids consortium.

GeoFluids 2020 update: We are pleased to announce that BP, Chevron, ConocoPhillips, ExxonMobil, Hess, Occidental, Petrobras, Repsol and Shell have already paid their GeoFluids 2020 invoice!

View all UT GeoFluids publications on the publications page
Members can access copies of publications at the Member Area Publication Site

Hooghvorst, J. J., Harrold, T. W. D., Nikolinakou, M. A., Fernandez, O., and Marcuello, A., 2019. Comparison of stresses in 3D vs 2D geomechanical modelling of salt structures in the Tarfaya basin, West African Coast; Petroleum Geoscience;

Nikolinakou, M. A., Goteti, R., and Heidari, M., 2019. Mechanics of salt systems: state of the field in numerical methods; Petroleum Geoscience;

Pinkston F.W.M., Flemings P.B., 2019. Macondo well pore pressure regression and implications for the Deepwater Horizon blowout; Scientific Reports

Casey B., Reece J. S., Germaine J.T. 2019: One-Dimensional Normal Compression Laws for Resedimented Mudrocks; Marine and Petroleum Geology;

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.