drill bits
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Results from more than 50,000 runs where shaped cutters resolved drilling issues demonstrate that, by matching the combination of cutters to the formation and the downhole conditions, it is possible to improve ROP, extend bit life, and drill longer runs for more cost-efficient operations.
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This paper highlights the potential of machine learning to be used as a tool in assisting the drilling engineer in bit selection through data insights previously overlooked.
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Founded in 2008, GA Drilling is developing plasma-based tools to achieve drilling speeds that are about three times faster than what conventional bit technology has historically achieved.
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The complete paper presents a methodology designed for optimally matching drill bits, mud motors, and bottomhole-assembly components for reduced failure risks and improved drilling performance.
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A new line of specialized polycrystalline-diamond-compact bits have been tested in a series of Bakken wells. The bits’ integrated design allowed significant increases in drilling rate and the number of plugs drilled.
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