Optimized geostatistics for analysis and processing of spatialized data

Kurzfassung

A French SME, specialised in geostatistics, provides probabilistic models to analyse and process spatially distributed data in various domains: mines, climatology, soil science, hydrogeology. This company has developed a patented geostatistical technology. The company is looking for partners interested in integrating geostatistical solutions in their work environment.

Details

Geostatistics is based on the characterization of the spatial variability of the studied phenomenon. Dedicated geostatistical tools are used for analysing the manner in which the data representing the phenomenon are correlated (i.e. linked together) in space. The company has a know-how in the operational implementation of geostatistical models and bases its services on a range of solutions structured in four large fields of expertise: measures, noise reduction, mapping, uncertainties.

- Measures: Rationalisation of measure-taking
Which sampling strategy?
Where should new sensors be placed?
How many? For which added value?

- Noise reduction: data quality control and noise reduction
Automatic detection of anomalous data
Correction of anomalous data
Instrumentation noise filtering

- Mapping: information spacialisation (based on fragmentary data)
Precise objective mapping
Integration/merging of heterogeneous data
Guided mapping (integration of prior knowledge)

- Uncertainties: uncertainty management
Taking into consideration sensor uncertainties
Confidence map
Risk analysis involving problems of threshold overstepping.

Innovative Aspects:
- Refined geostatistical models.
- Automatisation of geostatistical processing.
- Analysis and processing of large amount of data.
- Advanced visualization tools.