History Matching, Forecasting & Production Optimization on Norne E-Segment

History Matching, Forecasting & Production Optimization on Norne E-Segment

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Reservoir history matching is a tedious and time-consuming exercise, undertaken to reduce the differences in performance between a reservoir simulation model and its historical field performance. To replicate the reservoir’s performance, dynamic and static data from the reservoir is required to characterize the reservoir model. This enables it to reproduce a model very close to the historical performance.
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This Thesis work concentrates mainly on manual history matching carried out on the E-segment of the Norne field. It involves making perturbations to pre-selected sensitive parameters using production and pressure data. A forecast was then performed based on the best match to predict future production and suggest better or improved oil recovery methods for optimized production. Selection of parameters for perturbation was based on thorough sensitivity analysis previously carried out on the same E-segment of Norne in an earlier Project work.

The intricacy of manual perturbation would pose a big problem if the region being considered were not small. For the entire Norne field and any other larger field, it would be a lot easier to consider automatic history matching. Transmissibility, porosity, horizontal and vertical permeability proved to be the main parameters of concern as their perturbations significantly affected the outcome of the final match which was a very close match to the observed historical performance. The forecast was done mainly with water injection and clearly showed that increased water injection though increased field pressure, did not necessarily yield more oil production, but rather presented the problem of increased water production at the oil producing wells. Horizontal permeability reduction around the production wells would then be the best bet for optimized oil production.

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