2018
DOI: 10.14500/aro.10278
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Evaluating the Wear of Polycrystalline Diamond Compact Drill Bit Cutters using Indentation and Scratch Tests

Abstract: Abstract-Polycrystalline diamond compact (PDC) drill bits are widely used in oil and gas drilling. The wear of PDC cutters is a major problem during drilling. It leads to severe time losses which affect the overall drilling operation cost. Therefore, it is essential to evaluate the wear tendency for these cutters using predictive approaches. The present research is focused on studying the wear mechanisms of PDC cutters and the effect of their mechanical properties on the extent of wear. The volume of wear for … Show more

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Cited by 2 publications
(3 citation statements)
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“…From the provided data of all wells in the study, the volume of wear or dullness of the tooth (insert), (Vi) is determined from Equation (20), while the height of the dulled tooth (ℎ ) is calculated from Equation (14).…”
Section: -Results and Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…From the provided data of all wells in the study, the volume of wear or dullness of the tooth (insert), (Vi) is determined from Equation (20), while the height of the dulled tooth (ℎ ) is calculated from Equation (14).…”
Section: -Results and Discussionmentioning
confidence: 99%
“…Hassanpour [14] suggested a new formula for estimating the oil drill bit wear based on experimental tests of micro and nano-indentation, The study showed that the obtained experimental results of the samples being tested could be unified on a single sketch taking into consideration that three parameters have the most dominant influence on drill bit wear (load, sliding distance, and hardness).…”
Section: =mentioning
confidence: 99%
“…Micro-and nano-scratch tests wear applied to estimate the wear volume of the PDC cutters diamond layers. The experimental results were compared to the results obtained from wear models in the past (Abbas and Hassanpour, 2018). Yang et al (2019) presented a model as a combination of mechanical specific energy, principal component analysis, and wavelet analysis to decide when to pull the bit out of the hole and predict cutters wear of the Kymera PDC bit.…”
Section: Introductionmentioning
confidence: 99%