- Scalable design for execution on laptops and supercomputers
- Laboratory and field installations
- Coupling with flow and transport models (e.g., PFLOTRAN, eSTOMP)
- Cost efficiency associated with pre-field planning
- Physically-based field-scale feasibility assessments
- Solutions for:
- Mesh generation (problem definition/boundaries)
- Forward modeling (feasibility and synthetic studies)
- Inverse modeling (static characterization)
- Time-lapse inverse modeling (monitoring)
What makes E4D unique?
- Computational efficiency
- Incorporation of prior information
- Perched-water and/or water table locations
- Metallic infrastructure locations
- Hydrostratigraphic boundaries
- Conductivity parameter bounds
How does E4D execute?
Reading user-created ascii text files customized for an operational run mode and site-specific description, E4D executes with a master-slave configuration, where the master process communicates with slave processes for parallel execution. This distributes the computational burden to slave nodes, allowing for near real-time interpretation of large geophysical datasets.
Field examples include:
- Characterization of hazardous nuclear wastes beneath underground tanks. The largest static ERT inversion to date with ~5,000 electrodes, 220,000 measurements, and 3 million inversion parameters.
- River-stage intrusion and paleochannel detection. Surveys were executed with 352 surface electrodes, collecting 139,000 measurements every 6 hours. A time-lapse inversion of ~905,000 inversion parameters executed within 2 hours on 353 cores.
- Tank leak detection. With 4 lines of 16 buried electrodes surrounding a tank, 5000 time-lapse measurements were inverted with ~950,000 parameters within 3 hours using 65 cores.