7 research outputs found
A 2.5D Reactive Transport Model for Fracture Alteration Simulation
Understanding fracture alteration
resulting from geochemical reactions
is critical in predicting fluid migration in the subsurface and is
relevant to multiple environmental challenges. Here, we present a
novel 2.5D continuum reactive transport model that captures and predicts
the spatial pattern of fracture aperture change and the development
of an altered layer in the near-fracture region. The model considers
permeability heterogeneity in the fracture plane and updates fracture
apertures and flow fields based on local reactions. It tracks the
reaction front of each mineral phase and calculates the thickness
of the altered layer. Given this treatment, the model is able to account
for the diffusion limitation on reaction rates associated with the
altered layer. The model results are in good agreement with an experimental
study in which a CO<sub>2</sub>-acidified brine was injected into
a fracture in the Duperow Dolomite, causing dissolution of calcite
and dolomite that result in the formation of a preferential flow channel
and an altered layer. With an effective diffusion coefficient consistent
with the experimentally observed porosity of the altered layer, the
model captures the progressive decrease in the dissolution rate of
the fast-reacting mineral in the altered layer
Timing the Onset of Sulfate Reduction over Multiple Subsurface Acetate Amendments by Measurement and Modeling of Sulfur Isotope Fractionation
Stable isotope fractionations of sulfur are reported
for three
consecutive years of acetate-enabled uranium bioremediation at the
US Department of Energy’s Rifle Integrated Field Research Challenge
(IFRC) site. The data show a previously undocumented decrease in the
time between acetate addition and the onset of sulfate reducing conditions
over subsequent amendments, from 20 days in the 2007 experiment to
4 days in the 2009 experiment. Increased sulfide concentrations were
observed at the same time as δ<sup>34</sup>S of sulfate enrichment
in the first year, but in subsequent years elevated sulfide was detected
up to 15 days after increased δ<sup>34</sup>S of sulfate. A
biogeochemical reactive transport model is developed which explicitly
incorporates the stable isotopes of sulfur to simulate fractionation
during the 2007 and 2008 amendments. A model based on an initially
low, uniformly distributed population of sulfate reducing bacteria
that grow and become spatially variable with time reproduces measured
trends in solute concentration and δ<sup>34</sup>S, capturing
the change in onset of sulfate reduction in subsequent years. Our
results demonstrate a previously unrecognized hysteretic effect in
the spatial distribution of biomass growth during stimulated subsurface
bioremediation
Productivity and Sustainability in a Community-Driven Software Ecosystem for Watershed Science
Through its Science Focus Area (SFA) projects the Subsurface and Biogeochemical Research program within the U.S. Department of Energy is tightly integrating observations, experiments, and modeling to advance a systems-level understanding of how watersheds function, and to translate that understanding into advanced science-based models of watershed systems. To broaden the impact of the existing SFAs, the IDEAS-Watersheds project builds on the success of a synergistic family of IDEAS projects initated in 2014. Specifically, it strives to improve wathershed modeling capacity by increasing software development productivity through an agile approach to creating a sustainable, reliable, parallel, software ecosystem with interoperable components.In this talk we highlight the unique structure of the IDEAS-Watersheds project and describe how it addresses many challenges of software development with interdisciplinary teams. Specifically, it is organized around six Research Activities that develop concrete use cases to drive advances in our software ecosystem. These use cases are designed to balance advancing software design and development practices for parallel architectures with the model and algorithmic development needed to address scientific challenges. In addition, we use a co-funding model to create a team of early career researchers that will be trained in modern software engineering, while acting as liaisons that contribute to shared deliverables.Presented at SIAM PP20 Minisymposium: Improving Productivity and Sustainability for Parallel Computing Software.</div
Pore-Scale Controls on Calcite Dissolution Rates from Flow-through Laboratory and Numerical Experiments
A combination
of experimental, imaging, and modeling techniques
were applied to investigate the pore-scale transport and surface reaction
controls on calcite dissolution under elevated pCO<sub>2</sub> conditions.
The laboratory experiment consisted of the injection of a solution
at 4 bar pCO<sub>2</sub> into a capillary tube packed with crushed
calcite. A high resolution pore-scale numerical model was used to
simulate the experiment based on a computational domain consisting
of reactive calcite, pore space, and the capillary wall constructed
from volumetric X-ray microtomography images. Simulated pore-scale
effluent concentrations were higher than those measured by a factor
of 1.8, with the largest component of the discrepancy related to uncertainties
in the reaction rate model and its parameters. However, part of the
discrepancy was apparently due to mass transport limitations to reactive
surfaces, which were most pronounced near the inlet where larger diffusive
boundary layers formed around grains and in slow-flowing pore spaces
that exchanged mass by diffusion with fast flow paths. Although minor,
the difference between pore- and continuum-scale results due to transport
controls was discernible with the highly accurate methods employed
and is expected to be more significant where heterogeneity is greater,
as in natural subsurface materials
IDEAS: Software Productivity and Sustainability Improvement Plans
Poster presented at SIAM CSE17 PP108 Minisymposterium: Software Productivity and Sustainability for CSE and Data Science<div><br></div><div><div>Scientific software is playing an increasingly important role in both accelerating scientific discovery, and developing a predictive understanding of complex systems needed to inform policy decisions. To support this role amidst the increasing complexity of the system models, and the disruptive changes in hardware and software, improvements in software development productivity and sustainability are needed. To address this critical need, the Office of Biological and Environmental Research (BER) has have begun exploring the development and use of Software Productivity and Sustainability Improvement Plans (PSIPs) within its Subsurface Biogeochemical Research Program and the Interoperable Development of Extreme-scale Software Applications (IDEAS) project.</div></div
Divergent Aquifer Biogeochemical Systems Converge on Similar and Unexpected Cr(VI) Reduction Products
In this study of reductive chromium
immobilization, we found that
flow-through columns constructed with homogenized aquifer sediment
and continuously infused with lactate, chromate, and various native
electron acceptors diverged to have very different Cr(VI)-reducing
biogeochemical regimes characterized by either denitrifying or fermentative
conditions (as indicated by effluent chemical data, 16S rRNA pyrotag
data, and metatranscriptome data). Despite the two dramatically different
biogeochemical environments that evolved in the columns, these regimes
created similar Cr(III)–Fe(III) hydroxide precipitates as the
predominant Cr(VI) reduction product, as characterized by micro-X-ray
fluorescence and micro-X-ray absorption near-edge structure analysis.
We discuss two conflicting scenarios of microbially mediated formation
of Cr(III)–Fe(III) precipitates, each of which is both supported
and contradicted by different lines of evidence: (1) enzymatic reduction
of Cr(VI) to Cr(III) followed by coprecipitation of Cr(III) and Fe(III)
and (2) both regimes generated at least small amounts of Fe(II), which
abiotically reduced Cr(VI) to form a Cr–Fe precipitate. Evidence
of zones with different levels of Cr(VI) reduction suggest that local
heterogeneity may have confounded interpretation of processes based
on bulk measurements. This study indicates that the bulk redox status
and biogeochemical regime, as categorized by the dominant electron-accepting
process, do not necessarily control the final product of Cr(VI) reduction
xSDK: Working toward a Community CSE Software Ecosystem
Poster presented at SIAM CSE17 PP108 Minisymposterium: Software Productivity and Sustainability for CSE and Data Science<div><br></div><div><b>Abstract:</b> As CSE increasingly incorporates multiscale and multiphysics modeling, simulation, and analysis, the combined use of software developed by independent groups has become imperative. However, sharing software is difficult due to inconsistencies in configuration, installation, and third-party packages, as well as deeper challenges when interoperability requires control inversion and controlling data across packages.<div><br></div><div>This poster explains how the Extreme-scale Scientific Software Development Kit (xSDK, https://xsdk.info) addresses these difficulties and provides the foundation of a CSE software ecosystem, as we work toward a collection of complementary software elements developed by diverse, independent teams. We demonstrate how the xSDK facilitates investigating climate impacts on the Upper Colorado River System through coupled models for surface-subsurface hydrology and reactive transport. Alquimia, an application-specific xSDK package, provides a common interface library for codes like Amanzi/ATS and ParFlow to access biogeochemistry capabilities from codes such as PFLOTRAN and CrunchFlow. In turn, these applications require the combined use of xSDK numerical libraries, including hypre, PETSc, SuperLU, and Trilinos.</div><div><br></div><div>A key aspect of work is a set of draft xSDK community policies, which improve code quality, sustainability, usability, and interoperability. We invite the CSE community to provide feedback on community policies and contribute to the xSDK.</div></div
