Integrated Reservoir Characterization Staff

Photo of Sanjay Srinivasan Sanjay Srinivasan, Program Manager
ssriniva@mail.utexas.edu
Dr. Srinivasan's research focus is on reservoir characterization using geostatistics, improved flow modeling in heterogeneous reservoirs, uncertainty assessment and improved decision-making in the presence of uncertainty. Dr. Srinivasan has published extensively on the subject of production data integration in reservoir models and quantitative assessment of the influence of heterogeneity on flow.
Photo of Steven L. Bryant Steven L. Bryant
steven_bryant@mail.utexas.edu
Prof. Bryant's research includes multiscale modeling aimed at improving our ability to predict and understand large-scale behavior from small-scale observations. Current interests include flow and transport in highly heterogeneous (vuggy) carbonates and building physically representative models of geologic processes at the grain scale in order to predict reservoir quality.
Photo of Chun Huh Chun Huh
chunhuh@mail.utexas.edu
Prof. Huh's research interest in the reservoir characterization area is the hydrodynamics modeling of sedimentary processes that generate siliciclastic and carbonate deposits. Understanding how and where these deposits are formed under different geologic settings, and what is their 3-D internal structure in terms of stratigraphy, facies and lithology, is important for accurate characterization of porous rock formations that potentially contain oil and gas. This new approach to geologic modeling, based on detailed quantification of flow transport, deposition and erosion mechanisms, is a powerful complement to the current geostatistical approaches.
Photo of Larry W. Lake Larry W. Lake
larry_lake@mail.utexas.edu
Professor Lake's interests include enhanced oil recovery, reservoir engineering, reservoir characterization, geochemical modeling, and simulation.
Photo of Jon E. Olson Jon E. Olson
jolson@mail.utexas.edu
Prof. Olson's reservoir characterization research focuses on fractured reservoir characterization and micro-mechanical analysis of sandstone behavior. The fractured reservoir work involves a geomechanical approach to fracture pattern prediction and permeability assessment via laboratory testing and numerical modeling tied to detailed geological description of fractured outcrops and cores. The sandstone work is a combination of laboratory and discrete element numerical modeling, looking at problems such as the influence of grain-size distribution and diagenesis on elastic wave propagation around wellbores.
Photo of Ekwere J. Peters Ekwere J. Peters
ejpeters@mail.utexas.edu
Research interests include: flow through porous media; computer imaging; viscous fingering; computer-assisted transient-pressure analysis; drilling and well completions
Photo of Kamy Sepehrnoori Kamy Sepehrnoori
kamys@mail.utexas.edu
Research interests include: simulation of enhanced oil recovery; computational methods; vector and parallel computations; applied mathematics; subsurface remediation modeling; data bases
Photo of Mukul M. Sharma Mukul M. Sharma
msharma@mail.utexas.edu
Professor Sharma teaches and has conducted research in various aspects of petrophysics and well logging. His primary research has been in the area of electrical, acoustic and flow properties of rocks. Some examples of reseach areas are: Influence of pore geometry, wettability and mineralogy on the electrical and dielectric properties of rocks, residual saturations and relative permeabilty in mixed-wet rocks, influence of pore geopmetry and clay content on acoustic dispersion and attenuation. This research activity has been supported primarily by industry, but also by the Department of Energy and by the State of Texas. Professor Sharma has taught petrophysics and well logging related courses worldwide. He is the recepient of the 1998 SPE Formation Evaluation Award and is the Chairman of the Petroleum and Geosystems Engineering Department.
Photo of Carlos Torres-Verdin Carlos Torres-Verdin
cverdin@mail.utexas.edu
Dr. Torres-Verdin's interest include: (a) borehole geophysics, (b) formation evaluation, (c) well logging, (d) integrated approaches to the interpretation of well-log measurements and core data, including micro- and macro-scale physics, (e) nuclear magnetic resonance phenomena in porous media, (d) near-borehole phenomena, (e) Integration of well logs with time records of fluid production measurements, (f) integration of well logs with 3D seismic data and vertical seismic profiling, (g) integrated reservoir characterization, especially integration of 3D seismic data with well logs, core data, and time records of fluid production measurements, (h) in-situ permanent sensors, (i) automatic feedback control of hydrocarbon reservoir production, (j) numerical simulation of electromagnetic, elastic, and fluid-flow phenomena in porous media, (k) Inverse theory and nonlinear optimization, (l) signal and image processing, and (m) stochastic modeling and control. Dr. Torres-Verdin is director of a joint industry research consortium on the subject of formation evaluation. His research focus is on multi-disciplinary interpretation of rock physics measurement into multi-phase petrophysical variables. Dr. Torres-Verdin has published extensively in the areas of subsurface geophysics, inverse theory, and numerical simulation. Please see Dr. Torres-Verdin's personal web page for more information.