The reservoir management process integrates the following steps: (1) acquisition of data; (2) interpretation of each data type to obtain an interpretation model for the data; (3) integration of all available data interpretation models into a reservoir model; (4) calculation of the reservoir model behaviour with a reservoir simulator; (5) calibration of the reservoir simulator by history matching production data; (6) coupling the reservoir simulator with well and surface facility simulators; and (7) using the coupled simulators to calculate reserves and predict production for various development scenarios. This new concept in reservoir management has evolved in parallel with the re-organisation of oil companies into multi-disciplinary asset teams. These changes, however, have yet to reach most universities, which still teach each petroleum discipline as a separate subject, mainly because the various skills needed sit in separate departments. These historical barriers must be dismantled in order to give students the required understanding of (1) the fundamental concepts of reservoir characterisation, reservoir modelling, reservoir simulation, and field management; (2) the links between the various types of data; and (3) the processes for integrating and processing all available information. Another consequence of the new reservoir management methodology, coupled with the availability of commercial software enabling that methodology, is that results of reservoir management will become more predictable: given the same information, different teams applying the same methodology will reach the same conclusions, thus reducing greatly the advantage of technical knowledge in competitive situations.

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