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

Claim 9:
10. A method for wellsite control, the method comprising:
at a computing device:
receiving primary sensor information from one or more first sensors;
inputting the primary sensor information into a machine learning (ML) model, wherein the ML model is configured to receive the primary sensor information and, based on prior training datasets, determine one or more notification options based at least partially on the primary sensor information;
determining, via the ML model, the one or more notification options based at least partially on the primary sensor information;
providing for display of a graphical interface, wherein the graphical interface comprises a first sub-window showing the primary 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 primary sensor information;
receiving, via the graphical interface, input data indicating a suggested notification from the one or more notification options;
sending the suggested notification to a notification destination;
receiving 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;
recording the confirmation of the suggested notification in the ML model; and
training the ML model based on the confirmation of the suggested notification;
receiving secondary sensor information from one or more second sensors, wherein the secondary sensor information is based at least partially on the primary sensor information;
inputting the secondary sensor information into the ML model, wherein the ML model is configured to receive the secondary sensor information and the primary 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
determining, via the ML model, the one or more notification options based at least partially on the secondary sensor information.