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US 12,180,822 B2Granted
System and method to predict value and timing of drilling operational parameters
AssigneeExebenus AS
InventorsOlav Revheim, Alexander Chekushev, Dalila Gomes
Life of this patent
Estimating the term…
Abstract
A method and a system for using machine learning technologies to predict the value and timing of operational parameters. These predictions are then used to identify the risk of certain well incidents to occur, and if so notify responsible personnel thereof as to allow preventive actions to be taken.
Claims26
A method for predicting an event in oilfield operations, the method comprising:
- receiving time-based data from a real-time data system including a sensor;
- filtering the time-based data from the sensor;
- identifying an operation state based on the time-based data from the sensor;
- generating, using a machine learning model, a prediction based on the filtered time-based data from the sensor, wherein the prediction includes a predicted future time and a predicted value;
- visualizing on a display the predicted future time and the predicted value;
- comparing the prediction with a trigger threshold to predict when the event will occur;
- generating a warning that the event may happen when the prediction satisfies the trigger threshold;
- and
- intervening with a mitigating action in the oilfield operations to avoid the event.
6 more elements
A system for predicting an event in oilfield operations comprising:
- a real time data system including at least one sensor associated with at least one oil well;
- a display remote from the oil well;
- an electronic processor and a memory, the memory storing instructions that when executed by the electronic processor configure the electronic processor to:
- receive data from the real time data system;
- identify an operation state based on the data received from the real time data system;
- filter the data received from the real time data system;
- generate a future time prediction and a value prediction using a machine learning model based on the filtered data;
- display the future time prediction and the value prediction on the display;
- compare the future time prediction and the value prediction with a trigger threshold to predict when the event will occur;
- and
- display on the display a warning that the event may happen when the prediction satisfies the trigger threshold.
8 more elements
Dependencies are inferred from the claim text.