Speaker: Artur Posenato Garcia, Ph.D. candidate in the Hildebrand Department
of Petroleum and Geosystems Engineering at The University of Texas at Austin
Artur Posenato Garcia is a Ph.D.
candidate in the Hildebrand Department of Petroleum and Geosystems Engineering
at The University of Texas at Austin. He holds a M.Eng. in Aeronautical and
Mechanical Engineering from the Technological Institute of Aeronautics, Brazil.
He worked with aeroservoelasticity at Embraer’s executive jets division from
2007 to 2009, as an artificial lift engineer at Petrobras from 2009 to 2014 in
Brazil, and as a simulator systems analyst at Aker Solutions/MHWirth from 2014
to 2015 in Norway. He was designated a Distinguished Speaker for 2017/2018 by
the Society of Petrophysicists and Well Log Analysts (SPWLA). Artur is
currently a graduate research assistant at The University of Texas at Austin. His research interests include Formation
Evaluation, Petrophysics, Pore Scale Physics, Petroleum Engineering, and
Improved Assessment of Hydrocarbon Saturation in
Mixed-Wet Rocks with Complex Pore Structure
This work narrows down the knowledge gap in interpretation of
electrical resistivity measurements in oil-wet and mixed-wet formations by
analytically deriving a new resistivity model that can reliably
estimate hydrocarbon reserves at different levels of wettability. The
objectives of this work include (a) to quantify the influence of wettability on
electrical resistivity measurement, (b) to develop a newanalytical
resistivity model that takes into account the impacts of wettability on
electrical resistivity, and (c) to improve the assessment of hydrocarbon
saturation by introducing a wettability-dependent parameter into
a new resistivity method. The new resistivity model not
only incorporates wettability of the rock, but also a directionally conducting
fractional pore network to honor rock fabric.
The aforementioned features are quantitatively evaluated from the
three-dimensional (3D) pore-scale images, taken from each rock type in the
formation. We apply a semianalytical streamline numerical model to estimate
pore-network connectivity in the 3D binary images. The resistivity and the
calculated geometry-related parameters are used as inputs to
the new model in order to estimate water saturation. To test the
performance of the introduced method at different levels of wettability and
water saturation, we synthetically saturate the pore-scale images with water
and oil at different wettability configurations and water saturation, honoring
the physics of intermolecular interactions between different fluid and solid
The results obtained from the new method are compared
against the actual saturation. We successfully applied the introduced method to
carbonate rock samples with wettability ranging from strongly oil-wet to
strongly water-wet. The electrical resistivity results obtained from numerical
simulations were in agreement with the resistivity estimates from
the new method. The results also showed that wettability has a
significant influence on electrical resistivity of the rocks at water saturation
levels below 50%. Moreover, we demonstrated that the proposed model provides
reliable results when applied to field data. The outcomes of this work are
promising for well-log-based applications of the new method in
complex mixed-wet formations.
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Morning - Wednesday, May 16th, 8am – 9am US Central Time;
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