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Quantitative 4D Analysis Using Business Analytics TechniquesNormal access

Authors: M. Thompson, M. Houbiers, J. McConnell and D.H.B. Irving
Event name: 76th EAGE Conference and Exhibition 2014
Session: 4D Seismic in Reservoir Simulation - Closing the Loop
Publication date: 16 June 2014
DOI: 10.3997/2214-4609.20141147
Organisations: EAGE
Language: English
Info: Extended abstract, PDF ( 542.33Kb )
Price: € 20

A Reservoir Data Warehouse has been successfully created where key subsurface information used for geophysical reservoir monitoring has been transformed, integrated, and stored into a geospatially registered relational database. Quantitative 4D analysis has been performed on the data, utilising the power of the massively parallel processing architecture of the high-performance analytical database, and combining traditional 4D analysis and business analytics tools. The 4D analysis successfully demonstrated quantitative relationships between the different data in the database. If desired, the integrated data model can be extended with other types of data like top side data. At its simplest the Reservoir Data Warehouse will enable a more sustainable and easily accessible solution for data integration and co-visualization, and simplification in the data management realm. At its most powerful the Reservoir Data Warehouse will enable the creation of new subsurface workflows where data from disparate origins can be analyzed jointly and presented in existing software solutions, or in newly developed cross-disciplinary software solutions.

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