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1.发明申请Pore-Scale Geometric Models for Interpretation of Downhole Formation Evaluation Data 有权井下形成评估数据解释的孔隙几何模型公开(公告)号：US20080120034A1
公开(公告)日：2008-05-22
申请号：US12017284
申请日：2008-01-21
申请人： Daniel Georgi , Mikhail Gladkikh , Songhua Chen
发明人： Daniel Georgi , Mikhail Gladkikh , Songhua Chen
IPC分类号： G01V3/38
CPC分类号： G01V3/32 , G01N24/081 , G01R33/3808 , G01R33/448
摘要： The grain size of a pore-scale geometric model of a clastic earth formation are adjusted so that the NMR relaxation time distribution output of the model matches a measured NMR distribution. Fluid drainage and imbibing can be simulated. Additional properties of the earth formation are predicted using the pore-scale model. The additional properties may be based on additional measurements of properties of a fluid in the formation.
摘要翻译： 调整碎屑土地层的孔隙尺度几何模型的晶粒尺寸，使得模型的NMR弛豫时间分布输出与测量的NMR分布相匹配。 可以模拟流体排水和吸水。 使用孔隙尺度模型预测地层的附加属性。 额外的性质可以基于地层中流体的性质的附加测量。
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公开(公告)号：US20220341296A1
公开(公告)日：2022-10-27
申请号：US17237590
申请日：2021-04-22
摘要： A sand screen including a frame, a filtration media disposed in contact with the frame, the filtration media being of single-piece unitary construction and exhibiting varying flow properties over a surface of the media, or through a radial thickness of the media. A filtration media being of single-piece unitary construction and exhibiting varying flow properties over a surface area of the media, or through a radial thickness of the media.
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3.发明授权Pore-scale geometric models for interpretation of downhole formation evaluation data 有权用于解释井下地层评估数据的孔隙尺度几何模型公开(公告)号：US07363161B2
公开(公告)日：2008-04-22
申请号：US11445023
申请日：2006-06-01
申请人： Daniel T. Georgi , Mikhail Gladkikh , Songhua Chen
发明人： Daniel T. Georgi , Mikhail Gladkikh , Songhua Chen
IPC分类号： G01V3/18
CPC分类号： G01V3/32 , G01N24/081
摘要： The grain size of a pore-scale geometric model of a clastic earth formation are adjusted so that the NMR relaxation time distribution output of the model matches a measured NMR distribution. Fluid drainage and imbibing can be simulated. Additional properties of the earth formation are predicted using the pore-scale model. The additional properties may be based on additional measurements of properties of a fluid in the formation.
摘要翻译： 调整碎屑土地层的孔隙尺度几何模型的晶粒尺寸，使得模型的NMR弛豫时间分布输出与测量的NMR分布相匹配。 可以模拟流体排水和吸水。 使用孔隙尺度模型预测地层的附加属性。 额外的性质可以基于地层中流体的性质的附加测量。
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4.发明申请Pore-scale geometric models for interpretation of downhole formation evaluation data 有权用于解释井下地层评估数据的孔隙尺度几何模型公开(公告)号：US20060273788A1
公开(公告)日：2006-12-07
申请号：US11445023
申请日：2006-06-01
申请人： Daniel Georgi , Mikhail Gladkikh , Songhua Chen
发明人： Daniel Georgi , Mikhail Gladkikh , Songhua Chen
IPC分类号： G01V3/00
CPC分类号： G01V3/32 , G01N24/081
摘要： The grain size of a pore-scale geometric model of a clastic earth formation are adjusted so that the NMR relaxation time distribution output of the model matches a measured NMR distribution. Fluid drainage and imbibing can be simulated. Additional properties of the earth formation are predicted using the pore-scale model. The additional properties may be based on additional measurements of properties of a fluid in the formation.
摘要翻译： 调整碎屑土地层的孔隙尺度几何模型的晶粒尺寸，使得模型的NMR弛豫时间分布输出与测量的NMR分布相匹配。 可以模拟流体排水和吸水。 使用孔隙尺度模型预测地层的附加属性。 额外的性质可以基于地层中流体的性质的附加测量。
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5.发明授权Pore-scale geometric models for interpretation of downhole formation evaluation data 有权用于解释井下地层评估数据的孔隙尺度几何模型公开(公告)号：US07825659B2
公开(公告)日：2010-11-02
申请号：US12017284
申请日：2008-01-21
申请人： Daniel T. Georgi , Mikhail Gladkikh , Songhua Chen
发明人： Daniel T. Georgi , Mikhail Gladkikh , Songhua Chen
IPC分类号： G01V3/00
CPC分类号： G01V3/32 , G01N24/081 , G01R33/3808 , G01R33/448
摘要： The grain size of a pore-scale geometric model of a clastic earth formation are adjusted so that the NMR relaxation time distribution output of the model matches a measured NMR distribution. Fluid drainage and imbibing can be simulated. Additional properties of the earth formation are predicted using the pore-scale model. The additional properties may be based on additional measurements of properties of a fluid in the formation.
摘要翻译： 调整碎屑土地层的孔隙尺度几何模型的晶粒尺寸，使得模型的NMR弛豫时间分布输出与测量的NMR分布相匹配。 可以模拟流体排水和吸水。 使用孔隙尺度模型预测地层的附加属性。 额外的性质可以基于地层中流体的性质的附加测量。
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