Tony Ladd
Ph.D., 1978, University of Cambridge, Cambridge, England.
Professor : Chemical Engineering
Ph : 352-392-6509
Fax: 352 392-9513
tladd@che.ufl.edu
 
Areas
Complex Fluids
Soft Matter
Transport phenomena
 
Our research focuses on the dynamics of systems at the micron scale; colloids, polymers, and other soft matter, which are too large for a fully molecular simulation, yet with additional structures and dynamics that make purely continuum theories inadequate. The research combines the scientific disciplines of statistical mechanics and fluid dynamics with advanced computing to elucidate the key physical processes that underlie laboratory observations and measurements. Areas of application include statistical physics, biophysics and geophysics. An example of our work, a numerical study of the dissolution of fractured rocks by acid erosion, is described below. For further details on this and other work in the group please go to our home page at http://ladd.che.ufl.edu .
 
Dissolution and breakthrough in narrow fractures

When aqueous CO2 flows through a soluble rock such as calcite, then over time the solid dissolves, sometimes leading to the spectacular erosion morphologies observed in underground caverns. An understanding of the dynamics of the dissolution process is important in predicting the long-term integrity of underground storage systems, and in particular those being proposed as part of the Department of Energy Carbon Sequestration Program.

In the standard model for dissolution, the fracture aperture is assumed to be constant. However, such models do not predict the development of deep penetration, necessary for Karst (cavern) formation, without a strong concentration dependence of the reaction rate. This kinetic “trigger” is well verified for calcite dissolution [1]; near saturation it is known that the dissolution rate drops by several orders of magnitude. However in other minerals, for instance Gypsum, the rate coefficient is essentially independent of concentration yet caverns develop in these formations as well. We have used numerical simulations [2] to investigate another mechanism for the formation of deep channels, namely flow focusing [3].

A planar dissolution front is unstable to small perturbations [4]; regions where the front is slightly extended obtain more flow, which serves to amplify the initial perturbation. The upper image shows a dissolution front advancing into a spatially homogeneous porous medium, at a point in time where the initial sinusoidal perturbations start to develop into distinct channels [5]. A selection mechanism then begins to operate, leading to the more rapid growth of long channels at the expense of the shorter ones, as can be seen in the second panel where there are fewer but deeper channels.

The mechanism for the flow focusing can be understood in terms of the model [5] shown in the inset figure. The longer channel (B) has the higher flow rate, so that the pressure gradient near the inlet is larger in the long channel (B) than in the short one (A), leading to a lower pressure in the longer channel. Thus under-saturated fluid, near the inlet, is drawn towards the long channels, further extending them at the expense of the short ones. Further into the fracture the situation is reversed. Near the outlet the pressure is higher in the long channel, as shown in the right-hand inset, so that fluid tends to flow from the channel into the surrounding porous matrix, leading to the well known “tip splitting” seen in the lower panel. This inhomogeneous growth is transport controlled, so the channel competition is qualitatively independent of the detailed reaction kinetics.

Research_Image
The color contours indicate the depth of erosion of the porous matrix; blue represents minimal erosion and red represent maximal erosion. The flow is from top to bottom and the erosion patterns are shown at two different times. The initial porous matrix is statistically homogeneous, with only small scale variations in porosity. These random fluctuations are amplified by the non-linear feedback between fluid flow, solute transport and reaction kinetics at the fluid-rock interface. The inset figures illustrate the basic physics behind the channel competition. The cartoon on the left indicates a long and a short channel with the flow draining into the longer channel (B) and then being expelled near the outlet. The reason for this is made clear by the sketch of the pressure in the two channels.
[1] W. Dreybrodt, Water Resources Res., 32:2923, 1996.
[2] P. Szymczak and A.J.C. Ladd, Geophys. Rev. Lett., 31:L23606, 2004.
[3] W. Cheung and H. Rajaram, Geophys. Res. Lett., 29:2975, 2002.
[4] P. Ortoleva, et al., Am. J. Sc., 287:1008-1040 (1987).
[5] P. Szymczak and A.J.C. Ladd, Geophys. Rev. Lett., 33:L05401, 2006.
 
Recent Publications
1. Duenweg, B., Schiller, U.D. and Ladd, A.J.C., “Statistical Mechanics of the Fluctuating Lattice Boltzmann Equation,” Rev. E, 76 (2007) 036704.
2. Usta, O.B., Butler, J. and Ladd, A.J.C., “Transverse Migration of a Confined Polymer Driven by an External Force,” Phys. Rev. Lett., 98 (2007) 098301.
3 Lee, J. and Ladd, A.J.C., “Particle Dynamics and Pattern Formation in a Rotating Suspension,” J. Fluid Mech., 577 (2007) 183.
4. Chun, B. and Ladd, A.J.C., “Inertial Migration of Neutrally Buoyant Particles in a Square Duct: An Investigation of Multiple Equilibrium Positions,” Phys. Fluids, 18 (2006) 031704.
5. Szymczak, P. and A.J.C. Ladd, A.J.C., “A Network Model of Channel Competition in Fracture Dissolution,” Geophys. Rev. Lett., 33 (2006) L05401.