Invention Grant
US07966273B2 Predicting formation fluid property through downhole fluid analysis using artificial neural network
有权
通过使用人工神经网络的井下流体分析预测地层流体特性
- Patent Title: Predicting formation fluid property through downhole fluid analysis using artificial neural network
- Patent Title (中): 通过使用人工神经网络的井下流体分析预测地层流体特性
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Application No.: US12098526Application Date: 2008-04-07
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Publication No.: US07966273B2Publication Date: 2011-06-21
- Inventor: Peter Hegeman , Chengli Dong , Charles Woodburn , Graham Birkett , Nikos Varotsis , Vassilis Gaganis
- Applicant: Peter Hegeman , Chengli Dong , Charles Woodburn , Graham Birkett , Nikos Varotsis , Vassilis Gaganis
- Applicant Address: US TX Sugar Land
- Assignee: Schlumberger Technology Corporation
- Current Assignee: Schlumberger Technology Corporation
- Current Assignee Address: US TX Sugar Land
- Agent David J. Smith; Dave R. Hofman
- Main IPC: G06N3/08
- IPC: G06N3/08 ; E21B49/08 ; G01V3/00
Abstract:
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.
Public/Granted literature
- US20090030858A1 Methods and apparatus to perform downhole fluid analysis using an artificial neural network Public/Granted day:2009-01-29
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