drilling optimization
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A supervised machine-learning algorithm is developed to classify drilling parameters that increase rate of penetration and bit endurance for use in unconventional fields in Australia. -
This paper describes how severe rig limitations were overcome through an optimization plan in which an optimal bottomhole assembly was designed and drilling practices were customized.
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Downhole drilling dynamics tools and software can assist in understanding the downhole environment, providing a meaningful avenue for drilling optimization. -
An industry expert said that workforce education will be critical to helping companies adapt to a changing data landscape and optimize their operations.
