HR: 0800h
AN: IN21B-1183    [Abstracts]
TI: A web accessible scientific workflow system for transparent and reproducible generation of information on subsurface processes from autonomously sensed data
AU: * Versteeg, R
EM: roelof.versteeg@inl.gov
AF: Idaho National Laboratory, PO Box 1625, Idaho Falls, ID 83415 United States
AU: Richardson, A
EM: Alexander.Richardson@inl.gov
AF: Idaho National Laboratory, PO Box 1625, Idaho Falls, ID 83415 United States
AU: Thomas, S
EM: sgthomas@ices.utexas.edu
AF: University of Texas at Austin, Center for Subsurface modeling SHC 318 UT Mail Code C0200, Austin, TX 78712 United States
AU: Lu, B
EM: lubo@mail.utexas.edu
AF: University of Texas at Austin, Center for Subsurface modeling SHC 318 UT Mail Code C0200, Austin, TX 78712 United States
AU: Neto, J
EM: neto@ices.utexas.edu
AF: University of Texas at Austin, Center for Subsurface modeling SHC 318 UT Mail Code C0200, Austin, TX 78712 United States
AU: Wheeler, M
EM: mfw@ices.utexas.edu
AF: University of Texas at Austin, Center for Subsurface modeling SHC 318 UT Mail Code C0200, Austin, TX 78712 United States
AU: Rowe, T
EM: trevorrowe@gmail.com
AF: Idaho National Laboratory, PO Box 1625, Idaho Falls, ID 83415 United States
AU: Parashar, M
EM: parashar@caip.rutgers.edu
AF: Rutgers University, Dept. of Electrical & Computer Engineering 94 Brett Road, Piscataway, NJ 08854 United States
AU: Ankeny, M
EM: mark.ankeny@inl.gov
AF: Idaho National Laboratory, PO Box 1625, Idaho Falls, ID 83415 United States
AB: Information on subsurface processes is required for a broad range of applications, including site remediation, groundwater management, fossil fuel production and CO2 sequestration. Data on these processes is obtained from diverse sensor networks, includes physical, hydrological and chemical sensors and semi permanent geophysical sensors (mainly seismic and resistivity). Currently, processing is done by specialists through the use of commercial and research software packages such as numerical inverse and forward models, statistical data analysis software and visualization and data presentation packages. Information is presented to stakeholders as tables, images and reports. Processing steps, data and assumptions used for information generation are mostly opaque to endusers. As data migrates between applications the steps taken in each application (e.g. in data reduction)are often only partly documented, resulting in irreproducible results. In this approach, interactive tuning of data processing in a systematic way (e.g. changing model parameters, visualization parameters or data used) or using data processing as a discovery tool is de facto impossible. We implemented a web accessible scientific workflow system for subsurface performance monitoring. This system integrates distributed, automated data acquisition from autonomous sensor networks with server side data management and information visualization through flexible browser based data access tools. Webservices are used for communication with the sensor networks and interaction with applications. This system was originally developed for a monitoring network at the Gilt Edge Mine Superfund site, but has now been implemented for a range of different sensor networks of different complexity. The workflow framework allows for rapid and easy integration in a modular, transparent and reproducible manner of a multitude of existing applications for data analysis and processes. By embedding applications in webservice wrappers existing applications can be used without any recoding. Webservices are used for application configuration, resource allocation and communication of data and parameters. We implemented both the statistical package R as well as geophysical inverse codes and hydrological forward models as webservices. This framework and implementation allows for reproducible, transparent result generation by a diverse user base through an easy to use web interface. The use of webservices allows this system to integrate seamlessly with current and future efforts in distributed computing.
UR: http://geophysics.inel.gov
DE: 0525 Data management
DE: 1835 Hydrogeophysics
DE: 1848 Monitoring networks
DE: 1875 Vadose zone
DE: 1895 Instruments and techniques: monitoring
SC: Earth and Space Science Informatics [IN]
MN: Fall Meeting 2005