HR: 1340h
AN: H33D-1625    [Abstracts]
TI: A Workflow Environment for Reactive Transport Modeling with Application to a Mixing- Controlled Precipitation Experiment
AU: * Schuchardt, K L
EM: karen.schuchardt@pnl.gov
AF: Pacific Northwest National Laboratory, PO Box 999 MS K7-90, Richland, WA 99352, United States
AU: Sun, L
EM: lisong.sun@pnl.gov
AF: Pacific Northwest National Laboratory, PO Box 999 MS K7-90, Richland, WA 99352, United States
AU: Chase, J M
EM: jared.chase@pnl.gov
AF: Pacific Northwest National Laboratory, PO Box 999 MS K7-90, Richland, WA 99352, United States
AU: Elsethagen, T O
EM: todd.elsethagen@pnl.gov
AF: Pacific Northwest National Laboratory, PO Box 999 MS K7-90, Richland, WA 99352, United States
AU: Freedman, V L
EM: vicky.freedman@pnl.gov
AF: Pacific Northwest National Laboratory, PO Box 999 MS K7-90, Richland, WA 99352, United States
AU: Redden, G D
EM: george.redden@pnl.gov
AF: Idaho National Laboratory, PO Box 1625 MX 2208, Idaho Falls, ID 83404, United States
AU: Scheibe, T D
EM: tim.scheibe@pnl.gov
AF: Pacific Northwest National Laboratory, PO Box 999 MS K7-90, Richland, WA 99352, United States
AB: Advances in subsurface modeling techniques such as multi-scale methods, hybrid models, and inverse modeling, combined with petascale computing capabilities, will result in simulations that run over longer time scales, cover larger geographic regions, and model increasingly detailed physical processes. This will lead to significantly more data of increased complexity, creating challenges to already strained processes for parameterizing and running models, organizing and tracking data, and visualizing outputs. To support effective development and utilization of next-generation simulators, we are developing a process integration framework that combines and extends leading edge technologies for process automation, data and metadata management, and large-scale data visualization. Our process integration framework applies workflow techniques to integrate components for accessing and preparing inputs, running simulations, and analyzing results. Data management and provenance middleware enables sharing and community development of data sources and stores full information about data and processes. In the hands of modelers, experimentalists, and developers, the process integration framework will improve efficiency, accuracy and confidence in results, and broaden the array of theories available. In this poster (which will include a live computer demo of the workflow environment) we will present a prototype of the process integration framework, developed to address a selected benchmark problem. The prototype is being used to perform simulations of an intermediate-scale experiment in which a solid mineral is precipitated from the reaction of two mixing solutes. A range of possible experimental configurations are being explored to support design of a planned set of experiments incorporating heterogeneous media. The prototype provides a user interface to specify parameter ranges, runs the required simulations on a user specified machine, automatically manages the input and output files as well as a full description of the steps involved, and provides user interface to browse, visualize, and analyze the data.
UR: http://subsurface.pnl.gov/
DE: 1805 Computational hydrology
DE: 1829 Groundwater hydrology
DE: 1832 Groundwater transport
DE: 1847 Modeling
SC: Hydrology [H]
MN: 2007 Fall Meeting