Downhole sensing and flow control utilizing neural networks
AssigneeHalliburton Energy Services, Inc.
InventorsRoger L. Schultz, Bruce H. Storm JR., John R. Dennis, John M. Richardson, Sandra M. Richardson
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Abstract
Methods are provided for downhole sensing and flow control utilizing neural networks. In a described embodiment, a temporary sensor is positioned downhole with a permanent sensor. Outputs of the temporary and permanent sensors are recorded as training data sets. A neural network is trained using the training data sets. When the temporary sensor is no longer present or no longer operational in the well, the neural network is capable of determining the temporary sensor's output in response to the input to the neural network of the permanent sensor's output.
Claims45
A method of sensing a downhole parameter in a well, the method comprising the steps of:
- obtaining multiple training data sets including corresponding outputs of at least one temporary sensor in the well and outputs of at least one permanent sensor at the earth's surface, the temporary sensor sensing the parameter downhole and the permanent sensor sensing the parameter at the surface;
- and
- training a neural network to output the permanent sensor outputs of the training data sets in response to input to the neural network of the corresponding temporary sensor outputs of the training data sets.
A method of sensing a first downhole parameter in a well, the method comprising the steps of:
- obtaining multiple training data sets including corresponding outputs of a first sensor and at least one second sensor in the well, at least the first sensor sensing the first parameter downhole;
- and
- training a neural network to output the first sensor outputs of the training data sets in response to input to the neural network of the corresponding second sensor outputs of the training data sets.
A method of sensing downhole parameters in a well, the method comprising the steps of:
- obtaining multiple first training data sets including corresponding outputs of a first sensor and at least one second sensor in the well for a first zone intersected by the well, at least the first sensor sensing a first parameter downhole;
- obtaining multiple second training data sets including corresponding outputs of a third sensor and at least one fourth sensor in the well for a second zone intersected by the well, at least the third sensor sensing a second parameter downhole;
- training a first neural network to output the first sensor outputs of the first training data sets in response to input to the first neural network of the corresponding second sensor outputs of the first training data sets;
- and
- training a second neural network to output the third sensor outputs of the second training data sets in response to input to the second neural network of the corresponding fourth sensor outputs of the second training data sets.
A method of sensing a first downhole parameter in a well, the method comprising the steps of:
- obtaining multiple training data sets including corresponding outputs of a reference sensor and at least one downhole sensor, the reference sensor and downhole sensor being disposed at the earth's surface when the outputs are obtained;
- and
- training a neural network to output the reference sensor outputs of the training data sets in response to input to the neural network of the corresponding downhole sensor outputs of the training data sets.
Dependencies are inferred from the claim text.