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Objective-based Image Data Management
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, Second EAGE Borehole Geology Workshop, Oct 2017, Volume 2017, p.1 - 4
Abstract
The value of high resolution imaging data, i.e., core and borehole image data in energy industry projects has been the subject of several papers (e.g., Lagraba et al. 2010 ). Maximizing the imaging data value depends in the first instance on a clear definition of objectives to be achieved with this sometimes expensive form of data acquisition (e.g., CT imaging data). It is essential that the individual objectives of the project stake holders (geologists, reservoir engineers, etc.) are aligned with tool technology application specifications defined in company-wide standards. Focussed on project budget and in line with company data acquisition standards, an appropriate imaging service is subsequently designed considering data acquisition conditions and other supplementary logging services. After the successful data acquisition, auditable and most cost efficient cross-disciplinary workflows, which are outlined herein, track each of the imaging project steps from data processing to the close out with final integrated geological/petrophysical interpretation results. The seamless application of the interpretation results (e.g., absolute permeability from BHI) in reservoir modelling workflows ultimately demonstrate the added monetary value of high resolution imaging data for the energy industry.