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Database Management and
Analysis Services
Subsurface investigations and
monitoring at industrial and mining facilities generate large
amounts of hydrogeologic and chemistry data that are a combination
of observations, measurements, and research. Each facility is
unique, in terms of its components, hydrogeologic setting, and the
distribution of contaminants or mineral resources. Facility managers
typically do not have the resources or training to analyze and
distill large amounts of investigation and monitoring data into the
information and graphics they need for decision making.
GeoAnalysis specializes in
providing managers and engineering consultants turn-key solutions
for management and analysis of environmental data. We make it a
primary objective to limit our services to the development and
application of software systems for analysis of earth sciences data,
and therefore do not offer services outside of this realm.
We utilize both custom
developed and commercial software systems that provide our clients
with a range of options to best meet their needs. Components of
these data management systems can be deployed on the internet and/or
an intranet if a project team requires immediate access to updated
data.
Developing an easy to use and
comprehensive, database management system is a fundamental component
of maximizing the benefit obtained from data collection efforts. In
many cases, facility managers and their consultants must work with
several different contractors and regulatory groups to move a
project from investigation through remediation or production. To
facilitate this interaction and sharing of data, GeoAnalysis, Inc.
provides centralized data management and warehousing services. On
these projects, we work with the project team to develop a
standardized database, or to migrate existing data into an
appropriate commercial database product, and then maintain the data
on a centralized server that can be remotely accessed. We then
develop customized reporting, mapping, and graphing interfaces that
allow the project team to perform the types of analyses they need to
understand their data and make decisions.
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Groundwater
Modeling and 3-D Visualization
Because hydrogeologic
systems and chemical distributions have multi-dimensional
characteristics in nature, understanding and communicating the
results of investigations is often significantly enhanced by
utilizing advanced data modeling techniques with three-dimensional
graphics.
GeoAnalysis has extensive
experience in the utilization of GIS and three-dimensional
visualization systems to conduct and present visual analyses of
multi-dimensional data. These analyses are commonly completed using
scientific animations or collages of 2D and 3D graphics. GeoAnalysis
has the resources required to produce large format color graphics,
and multimedia animations of scientific data for display on computer
or VCR presentation systems.
For projects that require
modeling of fluid flow in the subsurface,
GeoAnalysis has
comprehensive capabilities for development of numerical and
analytical models of hydrogeologic systems. Model development
provides an important tool for integrating and interpreting data
that have been compiled during investigations at a site, and
performing evaluations of the relative effectiveness of remediation
or production alternatives. However, since modeling analyses
typically require assumptions to be made about the system under
analyses, they should be tightly integrated with analyses of
observed and measured site data. In combination with a centralized
data management and three-dimensional visualization system, modeling
can provide a very cost effective tool for planning investigations.
GeoAnalysis maintains an extensive library of computer models for
simulation of ground water flow, contaminant transport, geochemical
reactions, and flow of free phase liquids, and we have developed
interfaces between these models and visualization systems to allow
rapid development, execution, and visualization of models. Our
background and modeling resources allow us to select and apply the
most cost effective modeling techniques for the problem to be
addressed.
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