Patent ID: 11962957
Assignee: SCHLUMBERGER TECHNOLOGY CORPORATION
Field: Civil engineering (Other fields)
Classification: CPC H  E | IPC E  H

Claim 16:
17. A system for wellsite control, the system comprising:
at least one sensor located at a wellsite;
a computing device in data communication with the at least one sensor, the computing device including:
a processor,
a hardware storage device having instructions stored thereon, that when executed by the processor, cause the computing device to:
receive sensor information from the at least one sensor;
input the sensor information into a machine learning (ML) model, wherein the ML model is configured to receive the sensor information and, based on prior training datasets, determine one or more notification options based at least partially on the sensor information;
determine, via the ML model, the one or more notification options based at least partially on the sensor information;
provide for display of a graphical interface, wherein the graphical interface comprises a first sub-window showing the sensor information and the graphical interface further comprises a second sub-window showing the one or more notification options based at least partially on the sensor information;
receive, via the graphical interface, input data indicating a suggested notification from the one or more notification options;
send the suggested notification to a notification destination;
receive a confirmation of the suggested notification from the notification destination, wherein the confirmation of the suggested notification includes an indication of an action taken in conjunction with the suggested notification;
record the confirmation of the suggested notification in the ML model: and
train the ML model based on the confirmation of the suggested notification;
receive secondary sensor information from one or more second sensors, wherein the secondary sensor information is based at least partially on the sensor information;
input the secondary sensor information into the ML model, wherein the ML model is configured to receive the secondary sensor information and the sensor information and, based on the prior training datasets, determine the one or more notification options in response based at least partially on the secondary sensor information; and
determine, via the ML model, the one or more notification options based at least partially on the secondary sensor information.