Data processing: artificial intelligence – Neural network – Learning task
Reexamination Certificate
2005-05-31
2005-05-31
Davis, George (Department: 2121)
Data processing: artificial intelligence
Neural network
Learning task
C070S025000
Reexamination Certificate
active
06901391
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.
REFERENCES:
patent: 5444619 (1995-08-01), Hoskins et al.
patent: 6002985 (1999-12-01), Stephenson
patent: 6012015 (2000-01-01), Tubel
patent: 6021377 (2000-02-01), Dubinsky et al.
patent: 6101447 (2000-08-01), Poe, Jr.
patent: 0 881 357 (1998-12-01), None
Yang et al, “A Neural Network Approach to Predict Existing and In-Fill Oil Well Performance”, IEEE , I. JCNN, Jul. 2000.*
IEEE Transactions on Geoscience and Remote Sensing, vol. 33, No. 4, pp. 971-980; Dated, Jul. 1, 1995.
IEEE Proceedings of the International Conference on Neural Networks, vol. 5, pp. 3289-3294; Dated, Jun. 27, 1994.
Dennis John R.
Richardson John M.
Schultz Roger L.
Storm, Jr. Bruce H.
Davis George
Halliburton Energy Service,s Inc.
Kent Robert A.
Smith Marlin R.
LandOfFree
Field/reservoir optimization utilizing neural networks does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Field/reservoir optimization utilizing neural networks, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Field/reservoir optimization utilizing neural networks will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-3383794