| 摘要 |
Computerized method and system for deriving a statistical reservoir model of associations between injecting wells and producing wells. Potential injector events at which injection flow rate changes are interactively identified from time series measurement data of flow rates at the wells in a production field, with confirmation that some response to those injector events appears at producing wells. Gradient analysis is applied to cumulative production time series of the producing wells, to identify points in time at which the gradient of cumulative production changes by more than a threshold value. The identified potential producer events are spread in time and again thresholded. An automated association program rank orders injector-producer associations according to strength of the association. A capacitance-resistivity reservoir model is evaluated, using the flow rate measurement data, for the highest-ranked injector-producer associations. Additional associations are added to subsequent iterations of the reservoir model, until improvement in the uncertainty in the evaluated model parameters is not statistically significant. |
