Ormen Lange 6305/7 drilling data based ROP modelling and its application

Abstract

During design and planning phase, determination of the accurate rate of penetration (ROP) is essential for efficient drilling operations. Optimized ROP predictions improve the drilling efficiency in terms of decreasing operation time per drilling depth and hence lowering the drilling cost. Thus, the application of the best ROP modelling procedure is crucial. This thesis work presents a total of four different ROP modelling techniques, which are applied and tested on three wells in the Ormen Lange field. The modelling methods are the multiple linear regression, mechanical specific energy (MSE) model, d-exponent model and Warren model. The modelling approaches used were based on the whole well data and similar geologically grouped based data. The applicability of the models was tested only on the near-by wells, but not on far-away ones from the considered block. ROP modelling of old well’s drilling data and testing the model on the near-by wells showed that the stratigraphic groups-based modelling approach provides the best fit results with the field data and predicts the near-by well’s ROP data quite good. Moreover, this thesis work developed and illustrated a step-by-step process for ROP optimization in terms of modelling of drilled well’s data and its application for the near-by well to be drilled.