6 research outputs found
Enhanced Transport of 2,2ā²,5,5ā²-Polychlorinated Biphenyl by Natural Organic Matter (NOM) and Surfactant-Modified Fullerene Nanoparticles (<i>n</i>C<sub>60</sub>)
Stable colloidal suspensions of buckminsterfullerene
(<i>n</i>C<sub>60</sub>) in aqueous environments can significantly
affect
the fate and transport of hydrophobic organic contaminants by serving
as a contaminant carrier. In this study, we examined enhanced transport
of 2,2ā²,5,5ā²-polychlorinated biphenyl (PCB) in saturated
sandy soil columns by a variety of <i>n</i>C<sub>60</sub> samples, including an <i>n</i>C<sub>60</sub> sample prepared
by the typical solvent exchange method, as well as eight natural organic
matter (NOM) or surfactant-modified <i>n</i>C<sub>60</sub> samples, prepared by phase-transferring C<sub>60</sub> from toluene
to an NOM or a surfactant solution. Whereas the NOM- and surfactant-modified <i>n</i>C<sub>60</sub> samples have mobility similar to the unmodified <i>n</i>C<sub>60</sub>, their contaminant-mobilizing capabilities
are significantly greater: breakthrough of PCB increases by 47.2 to
227% with the surfactant-modified <i>n</i>C<sub>60</sub> samples and by 233 to 370% with the NOM-modified <i>n</i>C<sub>60</sub> samples. The significantly enhanced contaminant-mobilizing
capability of the modified <i>n</i>C<sub>60</sub> is likely
due to a combined effect of increased adsorption affinities and increased
tendency of desorption nonequilibrium, likely caused by the changes
of <i>n</i>C<sub>60</sub> aggregation properties induced
by the presence of NOM or surfactant. Findings in this study indicate
that <i>n</i>C<sub>60</sub> formed in different processes
might have vastly different effects on contaminant fate and transport
Laboratory Evaluation and Mechanistic Understanding of the Impact of Ferric Species on Oilfield Scale Inhibitor Performance
Scale
inhibitor chemicals are widely used in oilfield operations
for mineral scale control. However, the presence of iron species in
oilfield produced water can considerably impair the performance of
scale inhibitors. To date, few studies have been conducted to experimentally
investigate the mechanism of iron effect on scale inhibitors. Although
FeĀ(II) is the major form of iron species in oilfield produced water,
FeĀ(III) can be formed in produced waters due to oxidation of FeĀ(II).
In this study, FeĀ(III) effect on various scale inhibitors was evaluated
by examining the inhibitor performance to control barium sulfate (barite)
scale formation. This study finds that FeĀ(III) can significantly impair
the performance of both phosphonate and polymeric inhibitors with
an iron concentration below 1 mg L<sup>ā1</sup>. Moreover,
the mechanism of the influence of FeĀ(III) on scale inhibitors was
studied by investigating the adsorption capacity of ferric hydroxide
solid of phosphonate scale inhibitor and also examining the efficacy
of the unadsorbed inhibitor in aqueous solution. It can be concluded
that the FeĀ(III) impact on phosphonate inhibitor is due to the adsorption
of inhibitor to the surface of ferric hydroxide solids. Furthermore,
two common chelating chemicals (EDTA and citrate) were tested for
their effects in reversing the adverse impact of FeĀ(III) on scale
inhibitor. Experimental results suggest that citrate is more effective
than EDTA in reversing the detrimental impact of FeĀ(III) despite the
fact the EDTA is a stronger chelating agent. The mechanisms of these
two chelating chemicals in terms of interacting with FeĀ(III) were
discussed and compared. This study provides the theoretical basis
and technical insights for oilfield iron control to minimize iron
impairment on scale inhibitor performance
Transport of Fullerene Nanoparticles (<i>n</i>C<sub>60</sub>) in Saturated Sand and Sandy Soil: Controlling Factors and Modeling
Understanding subsurface transport of fullerene nanoparticles
(<i>n</i>C<sub>60</sub>) is of critical importance for the
benign
use and risk management of C<sub>60</sub>. We examined the effects
of several important environmental factors on <i>n</i>C<sub>60</sub> transport in saturated porous media. Decreasing flow velocity
from approximately 10 to 1 m/d had little effect on <i>n</i>C<sub>60</sub> transport in Ottawa sand (mainly pure quartz), but
significantly inhibited the transport in Lula soil (a sandy, low-organic-matter
soil). The difference was attributable to the smaller grain size,
more irregular and rougher shape, and greater heterogeneity of Lula
soil. Increasing ionic strength and switching background solution
from NaCl to CaCl<sub>2</sub> enhanced the deposition of <i>n</i>C<sub>60</sub> in both sand and soil columns, but the effects were
more significant for soil. This was likely because the clay minerals
(and possibly soil organic matter) in soil responded to changes of
ionic strength and species differently than quartz. Anions in the
mobile phase had little effect on <i>n</i>C<sub>60</sub> transport, and fulvic acid in the mobile phase (5.0 mg/L) had a
small effect in the presence of 0.5 mM Ca<sup>2+</sup>. A two-site
transport model that takes into account both the blocking-affected
attachment process and straining effects can effectively model the
breakthrough of <i>n</i>C<sub>60</sub>
Development and Application of a New Theoretical Model for Additive Impacts on Mineral Crystallization
Additives
play an important role in crystallization controls in
both natural and industrial processes. Due to the lack of theoretical
understanding of how additives work, the use and design of additives
in various disciplines are mostly conducted empirically. This study
has developed a new theoretical model to predict the additive impacts
on crystallization based on the classical nucleation theory and regular
solution theory. The new model assumes that additives can impact the
nucleus partial molar volume and the apparent saturation status of
the crystallization minerals. These two impacts were parametrized
to be proportional to additive concentrations and vary with inhibitors.
As a practical example, this new model has been used to predict barite
induction times without inhibitors from 4 to 250 Ā°C and in the
presence of eight different scale inhibitors from 4 to 90 Ā°C.
The predicted induction times showed close agreement with the experimental
data published previously or produced in this study. Such agreement
indicates that this new theoretical model can be widely adopted in
various disciplines to evaluate mineral formation kinetics, elucidate
mechanisms of additive impacts, predict minimum effective dosage (MED)
of additives, and guide the design of new additives, to mention a
few
Calcite and Barite Solubility Measurements in Mixed Electrolyte Solutions and Development of a Comprehensive Model for Water-Mineral-Gas Equilibrium of the Na-K-Mg-Ca-Ba-Sr-Cl-SO<sub>4</sub>āCO<sub>3</sub>āHCO<sub>3</sub>āCO<sub>2</sub>(aq)āH<sub>2</sub>O System up to 250 Ā°C and 1500 bar
Calcite and barite are two of the
most common scale minerals that occur in various geochemical and industrial
processes. Their solubility predictions at extreme conditions (e.g.,
up to 250 Ā°C and 1500 bar) in the presence of mixed electrolytes
are hindered by the lack of experimental data and thermodynamic model.
In this study, calcite solubility in the presence of high Na<sub>2</sub>SO<sub>4</sub> (i.e., 0.0407 m Na<sub>2</sub>SO<sub>4</sub>) and
barite solubility in a synthetic brine at up to 250 Ā°C and 1500
bar were measured using our high-temperature high-pressure geothermal
apparatus. Using this set of experimental data and other thermodynamic
data from a thorough literature review, a comprehensive thermodynamic
model was developed based on the Pitzer theory. In order to generate
a set of Pitzer theory virial coefficients with reliable temperature
and pressure dependencies which are applicable to a typical water
system (i.e., Na-K-Mg-Ca-Ba-Sr-Cl-SO<sub>4</sub>-CO<sub>3</sub>-HCO<sub>3</sub>-CO<sub>2</sub>-H<sub>2</sub>O) that may occur in geochemical
and industrial processes, we simultaneously fit all available mineral
solubility, CO<sub>2</sub> solubility, as well as solution density.
With this model, calcite and barite solubilities can be accurately
predicted under such extreme conditions in the presence of mixed electrolytes.
Furthermore, the 95% confidence intervals of the estimation errors
for solution density predictions are within 4 Ć 10<sup>ā4</sup> g/cm<sup>3</sup>. The relative errors of CO<sub>2</sub> solubility
prediction are within 0.75%. The estimation errors of the saturation
index mean values for gypsum, anhydrite, and celestite are within
Ā±0.1 and that for halite is within Ā±0.01, most of which
are within experimental uncertainties
Carbon-Based Nanoreporters Designed for Subsurface Hydrogen Sulfide Detection
Polyvinyl
alcohol functionalized carbon black with H<sub>2</sub>S-sensor moieties
can be pumped through oil and water in porous rock and the H<sub>2</sub>S content can be determined based on the fluorescent enhancement
of the H<sub>2</sub>S-sensor addends