Optimization and application of bit selection technology for improving the penetration rate

Abstract

Scientific selection of drill bits during drilling is a key technology to achieve high-speed drilling and reduce drilling costs. Based on the analysis of bit's working principles and its applicable conditions and in accordance with the well conditions of ultra-deep wells in Y area of Tarim Oilfield, this study has conducted mathematical statistics on a large number of actual drilling practices and detailed information of the drilling bits. As well, we studied the distribution of three-dimensional drillability in this area and optimized drilling parameters under neural network ROP model. Finally we put forth a set of comprehensive optimal selection techniques of bits that is applicable to Y Area. Field results show that the application of these comprehensive optimal selection techniques will enable a single well's penetration rate to increase by 30%, thus making a useful attempt to solve the deep well speed problems in Y Area.