Schlumberger Technology Corporation

Repsol, S.a.

Sensia LLC

Advanced Geopphysical Technology Inc.

Pengyu Yuan

Nam H Nguyen

Albert Hoefel

David J Rossi

Magnus Hedlund

Pablo Enrique Vargas Mendoza

Jonathan Wun Shiung Chong

Wenyi Hu

German Ocampo Botero

Shirui Wang

Carlos Penedo Rocha

Prashanth Nadukandi

T Everett Chambliss

Santiago Fernández Prieto

A method for reconstructing at least one trace in a seismic image of a common receiver and time domain includes a convolutional neural network trained under an unsupervised learning approach with a modified receptive field.

Method for reconstructing at least one trace in a seismic image

A system for oil and gas production includes a drilling, pipeline, or power quality device, a sensor, and a storage device. The storage device has instructions stored thereon that, when executed by one or more processors, cause the one or more processors to perform operations. The operations include receiving first data from the sensor. The operations include determining whether the device is experiencing an event condition based on the first data The operations include generating one or more potential corrective actions responsive to a determination that the device is experiencing the event condition. The operations include calculating a reward value for each of the one or more potential corrective actions. The operations include identifying a first corrective action of the one or more potential corrective actions with a largest or most positive reward value The operations include controlling the device according to the first corrective action.

Event driven control schemas for artificial lift

A method for detecting events includes receiving measurements from a plurality of sensors, and executing a machine learning model trained to identify events based on the measurements. The machine learning model identifies the events based on the measurements. The method also includes determining based on the measurements and the identified events that training applied to the machine learning model is to be modified. A modified training data set is generated based on the measurements and an initial training data set used to train the machine learning model to identify the events. The modified training data set is applied to retrain the machine learning model.

System and method for managing wellsite event detection

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Pengyu Yuan