This paper describes the design and interpretation of interference tests conducted between injectors and producers in the Huntington oilfield. The field is located in the UK Central North Sea and developed with four horizontal producers and two inclined water injectors. Water injection provides reservoir pressure support and mitigates the uncertainty of aquifer strength and its connectivity to the oil leg. This ensures adequate pressure maintenance in support of hydrocarbon recovery. It is important to understand effective communication between the wells. This is required to improve the forecasts of water breakthrough, to plan preventative actions and to optimise field operations and reservoir management. Therefore, a series of modified pulse tests were performed during the clean-up and well test campaigns to minimise disruption and delay to the drilling schedule. Data were recorded using permanent down-hole gauges installed in the horizontal producers, and the analyses of the results were performed using both analytical and numerical models. The modified pulse tests confirmed good communication between the producers tested. A reasonable match between the modified pulse test data and simulation model predictions is demonstrated in this paper, where reservoir properties such as permeability and porosity estimated for the inter-well areas show good agreement with the well test results. The test between injector and producer was also used to match the pressure response and can be used to predict injection water breakthrough. In the test, water was injected into two different intervals, the Upper and Lower Forties. Comparison of the injection test results with numerical simulation data suggests that no communication exists between these two intervals. This is a practical example of interference testing which provides insight and assurance on effective reservoir properties on an inter-well scale. This kind of data, before field start-up and free from the influence of other producers, is very useful for the field performance prediction and also rarely available in the literature.


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