GeoStation offers a full suite of services

 

Training

We offer standard training for GeoStation Mapper and Data Miner. We can also provide customized training tailored to your particular data or workflow.

 

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from Custom Input...  to Custom Output

We understand that data is getting increasingly complex and voluminous. We provide a window into the data you need, eliminating the clutter. GeoStation Mapper and Data Miner come preconfigured with support for several standard data sources. This configuration can be easily customized for additional data sources as well as attributes within them. Filter down to your exact data of interest and control precisely how it is represented in a map, chart, table or report.

 

Sometimes the data needed is stored in a single data source. Increasingly, however, to perform the analysis you want, the data is spread over several data sources. You need the ability to collate data from diverse data sources and interact with the data as a single composite data source.

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Similarly, on the output side, although GeoStation Mapper and Data Miner come preconfigured for many output formats, we can provide additional customized output whether it is a formatted report or a bulk data export - just let us know what you need.

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Supported Input Data Stores

• Oracle RDBMS

• SQL Server

• ESRI SDE

• ESRI shapefile

• SQLite

• Excel .xlsx

• ASCII .txt, .csv

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Supported Input Data Formats

• PPDM

• Trango

• P2 Well data

• Valnav

• Qbyte CS Land

• Seg-P1

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Supported Output formats

• standard or custom well tickets

• high quality maps (on screen or printed)

• GeoStation Graphic Format .gar

• WB3 format

• Excel .xlsx

• ASCII .csv

• ESRI .shp files

• ESRI File Geodatabase

• Landmark metafile

• Photon ASCII .pha

• Seg-P1

• PDF

• CGM

• JPG

• PNG

• SVG

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Composite Data Sources

This technology gives you the ability to merge data from multiple data stores and interact with the data as if it were a single, seamless data source. This does not involve a physical merging of data sources but rather a virtual merging of data sources.