Modeling the flow of non-Newtonian fluids in packed beds at the pore scale

Flow and transport in porous media are important in many science and engineering applications such as composite materials, subsurface water contamination, packed-bed reactors, and enhanced oil recovery. The general approach to modeling such processes is at the continuum scale. Semi-empirical expressions, such as Darcy\u27s law, are substituted for velocity in the continuity equation, which is then coupled with a momentum, mass, and energy balance. While a continuum approach is acceptable in some cases, additional modeling is required for certain non-linear flows, such as multi-phase flows, inertial flows, non-Newtonian flows, and reactive flows. Pore-scale modeling is a first-principles approach to modeling flow and transport in porous media. In this work, network models that are physically representative of specific unconsolidated media are created. The networks can be used to model a wide range of flows, but the focus here is on polymers and suspensions that exhibit non-Newtonian behavior. The network models are used to model steady flow as well as displacement by less viscous fluids. The transient displacement is used to investigate important viscous fingering patterns. While simple boundary conditions are typically imposed in network modeling (e.g. a pressure gradient in one dimension), a more general approach has been developed where boundary conditions are also imposed by direct coupling to an adjacent continuum region. Important qualitative and quantitative results are obtained from the network model for non-Newtonian fluids. Preferential flow pathways form in the network due to the inherent heterogeneity and interconnectivity in porous media. Quantitative results of Darcy velocity versus applied pressure gradient show different behavior than semi-empirical models (analogous to Darcy\u27s law) for non-Newtonian fluids. The transient displacement patterns for non-Newtonian fluids are also different than for Newtonian fluids. If the fluid exhibits a yield stress, a steady state is reached in which some of the original non-Newtonian fluid is left trapped in the network. The displacement patterns are affected by the boundary conditions, which can be determined from direct coupling to a continuum region

Adaptive Feedforward Control of Wastewater Neutralization.

The purpose of this dissertation is to show the development and testing of an adaptive feedforward control of a wastewater neutralization process. The adaptive controller is compared to a nonlinear proportional-integral-derivative (NPID) controller developed by Shinskey (1970). The process and controllers were simulated digitally. The adaptive controller utilizes two pH probes, a feedforward probe and a feedback probe (this measurement is used in the adaptive gain calculation). The feedback measurement provides the adaptive controller with a form of reset action. Probe noise and lag, valve hysteresis and lag, and dead time were included in the simulation. The process simulated for control combines a strong (hydrochloric) and weak (carbonic) acid neutralized by a strong base (sodium hydroxide). The adaptive controller was shown to give superior responses both for step changes in the strong acid and the buffer (weak acid) concentration. The tuning constant limits for the adaptive controller are correlated versus the buffer concentration of the incoming solution for a base case. The sensitivity of the adaptive control to changes in certain parameters (probe noise and lag, valve hysteresis and lag, and dead time) are illustrated. Also shown is the effect of a step change in flow rate to the system. Noise in the feedforward pH probe and the dead time between the reagent addition and the feedback probe had the largest effect on the adaptive controller performance. Efforts to solve the many problems involved in the control of the pH of effluent streams have failed to yield acceptable control algorithm for this very difficult process. This research provides a significant step toward the solution of these problems. An additional bonus of the adaptive controller is the use of only two tuning parameters (many controllers in use today require five or more tuning parameters)

Phenex: Ontological Annotation of Phenotypic Diversity

Phenex is a platform-independent desktop application designed to facilitate efficient and consistent annotation of phenotypic variation using Entity-Quality syntax, drawing on terms from community ontologies for anatomical entities, phenotypic qualities, and taxonomic names. Despite the centrality of the phenotype to so much of biology, traditions for communicating information about phenotypes are idiosyncratic to different disciplines. Phenotypes seem to elude standardized descriptions due to the variety of traits that compose them and the difficulty of capturing the complex forms and subtle differences among organisms that we can readily observe. Consequently, phenotypes are refractory to attempts at data integration that would allow computational analyses across studies and study systems. Phenex addresses this problem by allowing scientists to employ standard ontologies and syntax to link computable phenotype annotations to evolutionary character matrices, as well as to link taxa and specimens to ontological identifiers. Ontologies have become a foundational technology for establishing shared semantics, and, more generally, for capturing and computing with biological knowledge

A new mechanism of viscoelastic fluid for enhanced oil recovery: Viscoelastic oscillation

This report summarizes our recent experimental findings [Xie et al., Phys. Rev. Lett., 2022] and pore-scale simulation results [Xie et al., Phys. Rev. Fluids., 2020] on viscoelastic oscillation, which is a new observation of viscoelastic instability in the multiphase flow state. The viscoelastic oscillation causes trapping of droplets in contraction-expansion micro-channels regardless of the injection rate. Based on the force balance analysis on the viscous, capillary and elastic forces, the oscillation amplitude is found to linearly increase with viscoelasticity, and the trapped droplet size is determined by the elasto-capillary number. The oscillation also helps to extract droplets from their originally trapped positions such as dead-ends once a critical Deborah number is reached. These results successfully explain the phenomenon that the alternative injection of viscoelastic and inelastic fluids continually produces additional oil, indicating that the viscoelastic oscillation is a new important mechanism of viscoelastic fluid for enhanced oil recovery.Cited as: Xie, C., Xu, K., Qi, P., Xu, J., Balhoff, M. T. A new mechanism of viscoelastic fluid for enhanced oil recovery: Viscoelastic oscillation. Advances in Geo-Energy Research, 2022, 6(3): 267-268. https://doi.org/10.46690/ager.2022.03.1