AUTOMATED TOOLS RECOMMENDER SYSTEM FOR WELL COMPLETION

The present disclosure relates to the application of machine learning algorithms to recommend one or more tools for completion of a well, based on the features of the well. Predictive models may be built with the functionality of recommending one or more tools for a particular well completion. When...

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Hauptverfasser:	PANG, John, JONGARAMRUNGRUANG, Siraput, KONCHENKO, Andrey Sergeevich, CELAYA GALVAN, Jose R
Format:	Patent
Sprache:	eng ; fre ; ger
Schlagworte:	CALCULATING COMPUTING COUNTING DETECTING MASSES OR OBJECTS EARTH DRILLING EARTH DRILLING, e.g. DEEP DRILLING ELECTRIC DIGITAL DATA PROCESSING FIXED CONSTRUCTIONS GEOPHYSICS GRAVITATIONAL MEASUREMENTS MEASURING MINING OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR ASLURRY OF MINERALS FROM WELLS PHYSICS TESTING
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creator	PANG, John JONGARAMRUNGRUANG, Siraput KONCHENKO, Andrey Sergeevich CELAYA GALVAN, Jose R
description	The present disclosure relates to the application of machine learning algorithms to recommend one or more tools for completion of a well, based on the features of the well. Predictive models may be built with the functionality of recommending one or more tools for a particular well completion. When the predictive models recommend the use of a tool, secondary predictive models may further recommend a particular tool selected from a group of tools. The predictions may achieve a high level of accuracy, and as such, may be used to recommend tools for well completion.
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language	eng ; fre ; ger
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subjects	CALCULATING COMPUTING COUNTING DETECTING MASSES OR OBJECTS EARTH DRILLING EARTH DRILLING, e.g. DEEP DRILLING ELECTRIC DIGITAL DATA PROCESSING FIXED CONSTRUCTIONS GEOPHYSICS GRAVITATIONAL MEASUREMENTS MEASURING MINING OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR ASLURRY OF MINERALS FROM WELLS PHYSICS TESTING
title	AUTOMATED TOOLS RECOMMENDER SYSTEM FOR WELL COMPLETION
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