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US 11,536,868 B2Granted
Method for generating predicted ultrasonic measurements from sonic data
AssigneeSchlumberger Technology Corporation
InventorsLingchen Zhu, Sandip Bose, Smaine Zeroug
Life of this patent
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Abstract
A method, computer program product, and computing system are provided for receiving sonic data associated with an inner casing of a well. Predicted ultrasonic data associated with an outer casing of the well may be generated based upon, at least in part, a nonlinear regression model and the received sonic data associated with the inner casing of the well.
Claims12
A computer-implemented method for predicting ultrasonic data associated with a well, the method comprising:
- receiving, using one or more processors, sonic data associated with an inner casing of the well;
- and
- generating predicted ultrasonic data associated with an outer casing of the well based upon, at least in part, a nonlinear regression model and the received sonic data associated with the inner casing of the well, wherein the nonlinear regression model is generated using one or more neural networks, wherein generating the nonlinear regression model using the one or more neural networks comprises:
- receiving measured ultrasonic data associated with the outer casing of the well at a plurality of well depths;
- identifying corresponding sonic data at the plurality of well depths from the received sonic data associated with the inner casing of the well, thus defining a plurality of sonic data and ultrasonic data pairs defined for the plurality of well depths, and training the one or more neural networks with the plurality of sonic data and ultrasonic data pairs defined for the plurality of well depths.
2 more elements
A computing system including one or more processors and one or more memories configured to perform operations comprising:
- receiving sonic data associated with an inner casing of the well;
- and
- generating predicted ultrasonic data associated with an outer casing of the well based upon, at least in part, a nonlinear regression model and the received sonic data associated with the inner casing of the well, wherein the computing system is configured to generate the nonlinear regression model using one or more neural networks by:
- receiving measured ultrasonic data associated with the outer casing of the well at a plurality of well depths, identifying corresponding sonic data at the plurality of well depths from the received sonic data associated with the inner casing of the well, thus defining a plurality of sonic data and ultrasonic data pairs defined for the plurality of well depths, and training the one or more neural networks with the plurality of sonic data and ultrasonic data pairs defined for the plurality of well depths.
1 more element
Dependencies are inferred from the claim text.