发明公开
- 专利标题: FIELD/RESERVOIR OPTIMIZATION UTILIZING NEURAL NETWORKS
- 专利标题(中): 基于神经网络领域/储层优化
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申请号: EP01274015.5申请日: 2001-03-21
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公开(公告)号: EP1381921A1公开(公告)日: 2004-01-21
- 发明人: STORM, Bruce, H., Jr. , SCHULTZ, Roger, L. , DENNIS, John, R. , RICHARDSON, John, M.
- 申请人: Halliburton Energy Services, Inc.
- 申请人地址: 2601 Beltline Road Carrollton, TX 75006 US
- 专利权人: Halliburton Energy Services, Inc.
- 当前专利权人: Halliburton Energy Services, Inc.
- 当前专利权人地址: 2601 Beltline Road Carrollton, TX 75006 US
- 代理机构: Curtis, Philip Anthony
- 国际公布: WO2002077728 20021003
- 主分类号: G05B13/02
- IPC分类号: G05B13/02 ; E21B43/00
摘要:
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.
公开/授权文献
- EP1381921B1 FIELD/RESERVOIR OPTIMIZATION UTILIZING NEURAL NETWORKS 公开/授权日:2012-01-11
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