Drilling efficiency must be improved, in order to drive down operational costs. This requirement must not be viewed in isolation, considering the vast number of activities that determine a drilling program's success. In most instances, discussions relating to drilling efficiency have centered on rate of penetration ROP 1,2. As a result, ROP is either equated to drilling efficiency, or seen as the parameter that establishes drilling efficiency. These positions, in addition to being flawed, are highly inconsistent with field results.
The prediction of penetration rate for percussive drills from indirect tests using artificial neural networks. Percussive drills are widely used in engineering projects such as mining and construction. The prediction of penetration rates of drills by indirect methods is particularly useful for feasibility studies. In this investigation, the predictability of penetration rate for percussive drills from indirect tests such as Shore hardness, P-wave velocity, density, and quartz content was investigated using firstly multiple regression analysis, then by artificial neural networks ANNs. Operational pressure and feed pressure were also used in the analyses as independent variables. ANN analysis produced very good models for the prediction of penetration rate.
In the drilling industry , the rate of penetration ROP , also known as penetration rate or drill rate , is the speed at which a drill bit breaks the rock under it to deepen the borehole. It is normally measured in feet per minute or meters per hour, but sometimes it is expressed in minutes per foot. Generally, ROP increases in fast drilling formation such as sandstone positive drill break and decreases in slow drilling formations such as shale reverse break. ROP decreases in shale due to diagenesis and overburden stresses. Over pressured zones can give twice of ROP as expected which is an indicative of a well kick.