Quantitative 4D analysis using business analytics techniques

A Reservoir Data Warehouse was 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 was performed on the data, utilising the power of the 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. At its simplest the Reservoir Data Warehouse enables 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 large amounts of data from disparate origins can be analysed jointly and presented in existing software solutions, or in newly developed cross-disciplinary software solutions.