Early warning and automated detection for lost circulation in wellbore drilling

Early warning and automated detection for lost circulation in wellbore drilling

A wellbore drilling system to generate a machine-learning model trained using historic drilling operation data for monitoring for a lost circulation event 302, receive real-time data associated with a drilling operation 304, apply the machine-learning model can to the real-time data to identify a lo...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Shashwat Verma, Samiran Roy, Sridharan Vallabhaneni, Rune Hobberstad
Format: Patent
Sprache:eng
Schlagworte:
EARTH DRILLING
EARTH DRILLING, e.g. DEEP DRILLING
FIXED CONSTRUCTIONS
MINING
OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR ASLURRY OF MINERALS FROM WELLS
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Beschreibung
Zusammenfassung:A wellbore drilling system to generate a machine-learning model trained using historic drilling operation data for monitoring for a lost circulation event 302, receive real-time data associated with a drilling operation 304, apply the machine-learning model can to the real-time data to identify a lost circulation event that is occurring 306 and output an alarm to indicate a lost circulation event is occurring for the drilling operation 308.