Statistical & Geostatistical Forecasting Services

INTERA`s geostatistical experience ranges from applying indicator kriging to develop facies or stratigraphic models to conditional simulations of aquifer properties for use in Monte Carlo simulations. Much of our recent experience has focused on applying statistical and/or geostatistical models in support of water resource management plans. We have used geostatistics software such as GSLIB and ISATIS as well as the geostatistical packages available within the GMS and ESRI ArcGIS (i.e., Geostatistical Analyst) software packages.

INTERA is a leader in applying artificial neural networks (ANNs) to hydrologic systems. ANNs fall in the class of universal approximators and have been shown to be powerful statistical tools in quantifying the cause-and-effect relationships between different hydrologic variables. ANNs are extremely useful for modeling data such as brackish water encroachment or surface water level impacts due to wellfield pumpage or to predict water levels within a highly responsive surficial aquifer.