Rock breaking simulation of flexible PDC-impregnated diamond coupling bionic intelligent bit
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Abstract
To cope with difficult lithology identification, serious wear of PDC bit, low rock breaking efficiency of impregnated diamond bit and bit balling in the process of drilling, this paper established the lithology identification model by means of BP neural network leaning algorithm. In addition, a novel flexible PDC-impregnated diamond coupling bionic intelligent bit was designed and then simulated in Matlab and ABAQUS, respectively. The simulation results show that the BP neural network model can identify lithology very accurately, which is beneficial to select bit type reasonably, adjust drilling parameters in time and improve drilling efficiency. Compared with conventional bits, the stress applied on rock surface by the bionic intelligent bit is much higher, so it can reach the rock breaking limit more easily and its drilling speed is improved. This design integrates intelligent lithology identification, high rock breaking efficiency, self-regeneration function and anti-balling function and provides a new idea for the design of petroleum bits in China.
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