
doi: 10.2118/114673-ms
Abstract Historically, parameters like junk slot area (JSA), face volume (FV) and hydraulic horsepower per square inch of bit area (HSI) have been used to empirically predict the balling performance of drill bits. These performance gauges, however, generally produce inconsistent results. This paper presents new design features, guided by numerical predictions and the physical properties of actual PDC bit cuttings that reduce bit balling in PDC bits while drilling shales in water-based drilling muds. Validated by drilling simulator tests and field results, the new design criteria are shown to provide consistent reliable methods to reduce PDC bit balling. The new design methods employ empirical design rules that govern the allowable proximity of two adjacent blades (pinch points) and the profile of the junk slots. These methods are shown to increase the maximum achievable ROP (that ROP where bit balling just begins) by as much as an order of magnitude. Highly controlled and repeatable drilling simulator tests show that failure to employ the new design rules consistently results in premature bit balling. The drilling simulator provides accurate results for bit sizes up to 12 1/4 in. although the principles most likely apply to all bit sizes. Additionally, studies using computational fluid dynamics (CFD) in concert with drilling simulator tests indicate that the maximum achievable balling ROP of a PDC drill bit is increased with increased fluid velocity across the cutting structure. The correlation is shown to be valid over a wide range of bit types and sizes. The new bit designs incorporate strategic nozzle placements and new nozzle designs that improve PDC drill bit performance by increasing the fluid velocity across the cutters.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 22 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
