A Petrobras deep water exploration well is planned to be drilled in over 2438 m (8000 ft) of water offshore Brazil. As is typical of deep water wells, it has a narrow drilling window between pore pressure and fracture gradient requiring many casing strings to reach TD. Because pressure related problems are often extremely costly when drilling conventionally in deep water, initial design assumptions were conservative, assuming the maximum pore pressure and minimum fracture gradient for casing point and pipe selection. As with all conventional casing designs, the resulting pipe has limited capacity to withstand increased burst and collapse loads associated with extending hole sections if the opportunity arises.
Managed Pressure Drilling (MPD) enables the development of an adaptive well design by providing three key advantages over conventional drilling; 1) The ability to detect kicks and losses extremely accurately (in gallons, rather than barrels); 2) The ability to rapidly respond to and dynamically control detected kicks and losses by adjusting backpressure on the annulus, keeping their volumes small; and 3) The ability to perform dynamic pore pressure and formation integrity tests. Detecting and responding to kicks rapidly allows for the well to be designed with smaller kick tolerances. Furthermore, by keeping the kicks small they can be circulated out quickly without requiring conventional time consuming well control operations which often lead to further hole problems. When this advantage is coupled with dynamic pore pressure and dynamic formation integrity tests, real time optimization of casing points can be achieved safely with reduced risk of costly well control incidents.
The method presented here, applicable to any deep water well, uses low, expected and high pore pressure / fracture gradient estimates to develop an adaptive casing design for the well. In this paper, kick tolerance calculations for selecting casing points using MPD are defined. The effect of reduced kick tolerance requirements due to the application of MPD is demonstrated and finally, an adaptive procedure for real time design optimization of the well is presented. The method results in decision criteria that identify key depths where casing strings can be eliminated without compromising the ability to reach objective TD. The resulting adaptive casing design will most likely eliminate at least one and has the potential to eliminate two casing strings, representing significant cost savings.