Geodetic Framework – Corporate Data Store

Corporate Data Store

All too frequently asset data is loaded into projects on an ‘as needed’ basis in a multitude of different data formats and data media (tapes / discs etc.).   Does the company have a centralized corporate data store dedicated to the collection and maintenance of the different navigation data types?  If not how is the data controlled?

A corporate data store will comprise the collection of asset data for each common data type.  For example, a data type will be defined as 2D seismic navigation data, 3D bin grid definitions, wellbore data or culture data (block boundaries, bathymetry etc.).  Into the data store will be placed the data of that data types.  For example, there will be a dedicated corporate store for wellbore data, including surface locations, and one for all seismic navigation data (sources, receivers and CMPs).

Prior to data being submitted to the corporate store it must have been subjected to the QA/QC system to determine the completeness of the data (metadata / attributes) in addition to evaluating the usefulness of the data for integration within new and existing projects.  The QC process will apply all business rules to the data to determine its data metrics.  Data failing the QC process will be rejected from the loading process.  Errors will be identified and corrected further to another loading attempt being made.  Having submitted the data to the database it is deemed ready for use by the entire company user community.

Not all data will pass and it might be too cumbersome or unnecessary to correct all datasets that fail.  This is often the case with legacy data.  However, as previously mentioned, it might be the only data available to describe the location of seismic trace data.  Although errors are identified the data must still be loaded and used as it provides the sole source of information.  However, quality indicators will enable the analyst to interpret the quality of the data they are using.  This will offer a way of alerting users to exercise caution when poorer data sets are used.

Corporate data stores offer a formal mechanism of collating and checking a large variety of different data types using within the daily decision making processes.  Scripted business rules allow the data integrity of the databases to be routinely checked and corrected where necessary.  This improves the data quality and thus its usefulness to the project teams and hence the validity of decisions made from the data.


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