Optimization of Drilling With High-Frequency In-Bit Sensing

Abstract In-bit sensing technology measures the dynamic response at the bit during drilling operations. Recently such devices have been equipped with high sampling rate sensors, advanced sensor designs, and large data storage allowing entire bit runs to be recorded. This paper will present the technology, research, and testing that has allowed the development of a data driven decision loop for the optimization of drilling operations in the field. Data from the in-bit sensors allows the identification of drilling dysfunctions and provides actionable information from which to tailor drilling parameters to specific geologies. Additionally, drilling simulator testing, with in-bit sensors, in various geologies and with BHAs provides a database from which it is possible to create stability maps and bit performance benchmarks that can be directly used for optimization of drilling operations. Various drilling dysfunctions, such as High Frequency Torsional Oscillation (HFTO), are detrimental to both drilling efficiency and the reliability of downhole equipment. Drilling performance also varies by geologic features. Field case studies of the successful use of this technology in actual drilling operations will be presented to demonstrate the utility and impact of this technology. The data from these sensors is particularly useful due to their placement in the drill bit, where the fullest extent of downhole dynamic regimes can be observed. In bit sensors are showing utility in bit design, drilling optimization, and even well and field designs.