发明申请
- 专利标题: Methods and apparatus to perform downhole fluid analysis using an artificial neural network
- 专利标题(中): 使用人工神经网络进行井下流体分析的方法和装置
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申请号: US12098526申请日: 2008-04-07
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公开(公告)号: US20090030858A1公开(公告)日: 2009-01-29
- 发明人: Peter Hegeman , Chengli Dong , Charles Woodburn , Graham Birkett , Nikos Varotsis , Vassilis Gaganis
- 申请人: Peter Hegeman , Chengli Dong , Charles Woodburn , Graham Birkett , Nikos Varotsis , Vassilis Gaganis
- 申请人地址: US TX Sugar Land
- 专利权人: SCHLUMBERGER TECHNOLOGY CORPORATION
- 当前专利权人: SCHLUMBERGER TECHNOLOGY CORPORATION
- 当前专利权人地址: US TX Sugar Land
- 主分类号: G06N3/08
- IPC分类号: G06N3/08 ; E21B49/08
摘要:
Apparatus and methods to perform downhole fluid analysis using an artificial neural network are disclosed. A disclosed example method involves obtaining a first formation fluid property value of a formation fluid sample from a downhole fluid analysis process. The first formation fluid property value is provided to an artificial neural network, and a second formation fluid property value of the formation fluid sample is generated by means of the artificial neural network.
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