公开(公告)号：US4864843A

公开(公告)日：1989-09-12

申请号：US267641

申请日：1988-11-03

申请人： Paul B. Guieze ,  Nikos Varotsis

发明人： Paul B. Guieze ,  Nikos Varotsis

IPC分类号： G01N30/10 ,  G01N30/12 ,  G01N30/34 ,  G01N30/38 ,  G01N30/40 ,  G01N30/46 ,  G01N30/62 ,  G01N33/28

CPC分类号： G01N30/461 ,  G01N2030/121 ,  G01N2030/126 ,  G01N2030/347 ,  G01N2030/383 ,  G01N2030/402 ,  G01N2030/625 ,  G01N30/10 ,  G01N33/28

摘要： A liquid sample to be analyzed is subjected to a vaporizing step. The vaporized components are submitted to a first separation stage by introducing said components into a packed chromatography column and flowing carrier gas through said column. The effluent of the first stage is passed through a flow dividing chamber. A second separation stage is performed by passing the effluent of the flow dividing chamber to a capillary chromatography column and flowing carrier gas therethrough. After a predetermined period of time, flushing gas is introduced through the flow dividing chamber and flowed through the first-stage packed column in a direction opposite to the original direction of flow while the direction of flow remains unchanged in the capillary column.

公开(公告)号：US07966273B2

公开(公告)日：2011-06-21

申请号：US12098526

申请日：2008-04-07

申请人： Peter Hegeman ,  Chengli Dong ,  Charles Woodburn ,  Graham Birkett ,  Nikos Varotsis ,  Vassilis Gaganis

发明人： Peter Hegeman ,  Chengli Dong ,  Charles Woodburn ,  Graham Birkett ,  Nikos Varotsis ,  Vassilis Gaganis

IPC分类号： G06N3/08 ,  E21B49/08 ,  G01V3/00

CPC分类号： G06N3/02 ,  E21B49/10

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.

摘要翻译： 公开了使用人造神经网络进行井下流体分析的装置和方法。 所公开的示例性方法包括从井下流体分析过程获得地层流体样品的第一地层流体特性值。 将第一地层流体属性值提供给人造神经网络，并且通过人造神经网络产生地层流体样本的第二地层流体特性值。

公开(公告)号：US20090030858A1

公开(公告)日：2009-01-29

申请号：US12098526

申请日：2008-04-07

申请人： Peter Hegeman ,  Chengli Dong ,  Charles Woodburn ,  Graham Birkett ,  Nikos Varotsis ,  Vassilis Gaganis

发明人： Peter Hegeman ,  Chengli Dong ,  Charles Woodburn ,  Graham Birkett ,  Nikos Varotsis ,  Vassilis Gaganis

IPC分类号： G06N3/08 ,  E21B49/08

CPC分类号： G06N3/02 ,  E21B49/10

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.

摘要翻译： 公开了使用人造神经网络进行井下流体分析的装置和方法。 所公开的示例性方法包括从井下流体分析过程获得地层流体样品的第一地层流体特性值。 将第一地层流体属性值提供给人造神经网络，并且通过人造神经网络产生地层流体样本的第二地层流体特性值。