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Drill penetration rates in rock

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    Abstract: Drillability is influenced by many factors, including machine parameters and rock properties. The main machine parameters for drilling include rotational speed, thrust force, torque and flush pressure. Simple and multiple regression analyses have been carried out to determine the best measure of the relation between DRI and two geomechanical properties. The DRI value is strongly related to the uniaxial compressive strength and indirect tensile strength. However, when the uniaxial compressive strength and tensile strength of rock are jointly considered, the correlation coefficient increases. Strong relationships were obtained from these analyses for the rock strength UCS above and below MPa with the correlation coefficients 0.
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    Drilling Penetration Rate Estimation using Rock Drillability Characterization Index

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    Drilling Penetration Rate Estimation using Rock Drillability Characterization Index | SpringerLink

    This paper deals with the analysis of effects of mechanical properties of rock on penetration rate and specific energy. Five specimens were collected from the four locations in Federal capital territory, Abuja. These samples were subjected to laboratory point load strength index using point load testing machine. Results of the point load tests were used to estimate the uniaxial compressive strength of the rocks. The penetration rate and specific energy were determined using empirical equations.
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    Mazen, Ahmed Z. Predicting rate of penetration ROP has gained considerable interest in the drilling industry because it is the most-effective way to improve the efficiency of drilling and reduce the operating costs. One way to enhance the drilling performance is to optimize the drilling parameters using real-time data. The optimization of the drilling parameters stands on the fact that drilling parameters are interrelated; that is, corrections in one factor affect all the others, positively or negatively.
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    Rock drilling Penetration Rate PR is influenced by many parameters including rock properties, machine parameters of the chosen rig and the working process. Five datasets were utilized to quantitatively assess the effect of various rock properties on PR. The datasets consisted of two sets of diamond and percussive drilling and one set of rotary drilling data.
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