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公开(公告)号:US10691846B2
公开(公告)日:2020-06-23
申请号:US15446410
申请日:2017-03-01
发明人: Peter William Bryant , William Fernando Lopez Candela , Alexandre Ashade Lassance Cunha , Rodrigo Neumann Barros Ferreira , Mathias B Steiner
IPC分类号: G06F30/20 , G06F111/10
摘要: A method is provided including receiving data corresponding to a three-dimensional physical representation of a porous rock sample; calculating a low-dimensional representation of a pore network in the porous rock sample based on the three-dimensional physical representation; extracting one or more geometrical parameter from the low-dimension representation; generating a capillary network model of the porous rock sample based at least on the at least one geometrical parameter for simulating fluid flow inside the porous rock sample; and performing at least one simulation of a flow of the fluid through the capillary network model of the porous rock sample with a fluid additive to provide a predicted enhanced fluid recovery efficiency.
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2.
公开(公告)号:US20180253514A1
公开(公告)日:2018-09-06
申请号:US15446410
申请日:2017-03-01
发明人: Peter William Bryant , William Fernando Lopez Candela , Alexandre Ashade Lassance Cunha , Rodrigo Neuman Barros Ferreira , Mathias B. Steiner
IPC分类号: G06F17/50
摘要: A method is provided including receiving data corresponding to a three-dimensional physical representation of a porous rock sample; calculating a low-dimensional representation of a pore network in the porous rock sample based on the three-dimensional physical representation; extracting one or more geometrical parameter from the low-dimension representation; generating a capillary network model of the porous rock sample based at least on the at least one geometrical parameter for simulating fluid flow inside the porous rock sample; and performing at least one simulation of a flow of the fluid through the capillary network model of the porous rock sample with a fluid additive to provide a predicted enhanced fluid recovery efficiency.
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公开(公告)号:US20180373821A1
公开(公告)日:2018-12-27
申请号:US15634737
申请日:2017-06-27
摘要: An apparatus to perform tests on fluid flow and configured to operate at field conditions includes one or more vessels and one or more sets of fluid injecting devices corresponding to respective ones of the one or more vessels. Each set of fluid injecting devices includes one or more fluid injecting devices each configured to inject a respective fluid through its respective vessel. The apparatus further includes one or more measurement devices operatively coupled to respective ones of the one or more vessels and configured to measure data associated with fluid flow of the one or more fluids injected into its respective vessel. The measured data comprises one or more of pressure gradient data and flow rate data. The apparatus is in communication with at least one processor configured to calculate a model based on the measured data. In calculating the model, the at least one processor is configured to infer one or more parameters for the model from the measured data.
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公开(公告)号:US11080440B2
公开(公告)日:2021-08-03
申请号:US15634737
申请日:2017-06-27
IPC分类号: G06F17/18 , G01N11/08 , G06F111/10 , G06F113/08 , G06F30/20
摘要: An apparatus to perform tests on fluid flow and configured to operate at field conditions includes one or more vessels and one or more sets of fluid injecting devices corresponding to respective ones of the one or more vessels. Each set of fluid injecting devices includes one or more fluid injecting devices each configured to inject a respective fluid through its respective vessel. The apparatus further includes one or more measurement devices operatively coupled to respective ones of the one or more vessels and configured to measure data associated with fluid flow of the one or more fluids injected into its respective vessel. The measured data comprises one or more of pressure gradient data and flow rate data. The apparatus is in communication with at least one processor configured to calculate a model based on the measured data. In calculating the model, the at least one processor is configured to infer one or more parameters for the model from the measured data.
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