FIELD EQUIPMENT DATA SYSTEM

A method can include receiving real-time, time series data from equipment at a wellsite that includes a wellbore in contact with a fluid reservoir; processing the time series data as input to a trained machine learning model to predict a future solids event related to influx of solids into the wellb...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser:	RODRIGUEZ HERRERA, Adrian Enrique, GUPTA, Supriya, SRIDHAR, Garud, SUBBIAH, Surej Kumar, IBRAHIM, Muhammad, MOHAMAD HUSSEIN, Assef, SINHA, Rajeev Ranjan, SANTHALINGAM, Vigneshwaran, ALHAMAD, Nasser
Format:	Patent
Sprache:	eng ; fre ; ger
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DETECTING MASSES OR OBJECTS EARTH DRILLING EARTH DRILLING, e.g. DEEP DRILLING 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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Beschreibung
Zusammenfassung:	A method can include receiving real-time, time series data from equipment at a wellsite that includes a wellbore in contact with a fluid reservoir; processing the time series data as input to a trained machine learning model to predict a future solids event related to influx of solids into the wellbore from the fluid reservoir; and outputting a time of the future solids event.