Field/reservoir optimization utilizing neural networks
First Claim
1. A method of optimizing performance of a well system, the method comprising the steps of:
- accumulating multiple data sets, each data set including at least one parameter influencing an output of the well system, and at least one parameter indicative of the well system output;
training a neural network to model the output of the well system in response to the influencing parameters; and
inputting an output of the trained neural network to a geologic model.
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Abstract
A method of optimizing performance of a well system utilizes a neural network. In a described embodiment, the method includes the step of accumulating data indicative of the performance of the well system in response to variable influencing parameters. The data is used to train a neural network to model an output of the well system in response to the influencing parameters. An output of the neural network may then be input to a valuing model, e.g., to permit optimization of a value of the well system. The optimization process yields a set of prospective influencing parameters which may be incorporated into the well system to maximize its value.
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Citations
15 Claims
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1. A method of optimizing performance of a well system, the method comprising the steps of:
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accumulating multiple data sets, each data set including at least one parameter influencing an output of the well system, and at least one parameter indicative of the well system output;
training a neural network to model the output of the well system in response to the influencing parameters; and
inputting an output of the trained neural network to a geologic model. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A method of optimizing performance of a well system, the method comprising the steps of:
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training a neural network to model an output of the well system in response to at least one variable parameter of the well system;
inputting an output of the neural network to at least one valuing model; and
optimizing an output of the valuing model in response to input of the well system parameter to the neural network. - View Dependent Claims (9, 10, 11, 12, 13, 14, 15)
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Specification