Real-Time Bit Wear Estimation Using Surface Vibration Signals. Phase 1

摘要

The research investigated the feasibility of monitoring in real time the condition of an oil well drill bit, based solely on surface vibration data. The problem of extracting the desired information on the bit from surface vibration data is complex. Surface data is heavily masked with corruptive noise due to the extremely noisy environment on the rigs, dynamics of the drill string inside the borehole, attenuation of the vibration signal propagating up the drill string, and unknown lithology, which varies as one drills. Modern estimation theory concepts were introduced to study this stochastic problem and formulate a real time, bit wear estimation methodology.