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公开(公告)号:US10802099B2
公开(公告)日:2020-10-13
申请号:US15943787
申请日:2018-04-03
Applicant: Schlumberger Technology Corporation
Inventor: Lalitha Venkataramanan , Fred K. Gruber , Tarek M. Habashy , Ridvan Akkurt , Badarinadh Vissapragada , Richard E. Lewis , Erik Rylander
Abstract: A methods are provided for investigating a sample containing hydrocarbons by subjecting the sample to a nuclear magnetic resonance (NMR) sequence using NMR equipment, using the NMR equipment to detect signals from the sample in response to the NMR sequence, analyzing the signals to extract a distribution of relaxation times (or diffusions), and computing a value for a parameter of the sample as a function of at least one of the relaxation times (or diffusions), wherein the computing utilizes a correction factor that modifies the value for the parameter as a function of relaxation time for at least short relaxation times (or as a function of diffusion for at least large diffusion coefficients).
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公开(公告)号:US09939506B2
公开(公告)日:2018-04-10
申请号:US14406503
申请日:2013-05-24
Applicant: Schlumberger Technology Corporation
Inventor: Lalitha Venkataramanan , Fred K. Gruber , Tarek M. Habashy , Ridvan Akkurt , Badarinadh Vissapragada , Richard E. Lewis , Erik Rylander
CPC classification number: G01R33/54 , G01N24/08 , G01N24/081 , G01R33/448 , G01V3/14 , G01V3/32 , G01V3/38
Abstract: A methods are provided for investigating a sample containing hydrocarbons by subjecting the sample to a nuclear magnetic resonance (NMR) sequence using NMR equipment, using the NMR equipment to detect signals from the sample in response to the NMR sequence, analyzing the signals to extract a distribution of relaxation times (or diffusions), and computing a value for a parameter of the sample as a function of at least one of the relaxation times (or diffusions), wherein the computing utilizes a correction factor that modifies the value for the parameter as a function of relaxation time for at least short relaxation times (or as a function of diffusion for at least large diffusion coefficients).
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公开(公告)号:US20190011517A1
公开(公告)日:2019-01-10
申请号:US15943787
申请日:2018-04-03
Applicant: Schlumberger Technology Corporation
Inventor: Lalitha Venkataramanan , Fred K. Gruber , Tarek M. Habashy , Ridvan Akkurt , Badarinadh Vissapragada , Richard E. Lewis , Erik Rylander
Abstract: A methods are provided for investigating a sample containing hydrocarbons by subjecting the sample to a nuclear magnetic resonance (NMR) sequence using NMR equipment, using the NMR equipment to detect signals from the sample in response to the NMR sequence, analyzing the signals to extract a distribution of relaxation times (or diffusions), and computing a value for a parameter of the sample as a function of at least one of the relaxation times (or diffusions), wherein the computing utilizes a correction factor that modifies the value for the parameter as a function of relaxation time for at least short relaxation times (or as a function of diffusion for at least large diffusion coefficients).
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4.
公开(公告)号:US20150177351A1
公开(公告)日:2015-06-25
申请号:US14406503
申请日:2013-05-24
Applicant: Schlumberger Technology Corporation
Inventor: Lalitha Venkataramanan , Fred K. Gruber , Tarek M. Habashy , Ridvan Akkurt , Badarinadh Vissapragada , Richard E. Lewis , Erik Rylander
CPC classification number: G01R33/54 , G01N24/08 , G01N24/081 , G01R33/448 , G01V3/14 , G01V3/32 , G01V3/38
Abstract: A methods are provided for investigating a sample containing hydrocarbons by subjecting the sample to a nuclear magnetic resonance (NMR) sequence using NMR equipment, using the NMR equipment to detect signals from the sample in response to the NMR sequence, analyzing the signals to extract a distribution of relaxation times (or diffusions), and computing a value for a parameter of the sample as a function of at least one of the relaxation times (or diffusions), wherein the computing utilizes a correction factor that modifies the value for the parameter as a function of relaxation time for at least short relaxation times (or as a function of diffusion for at least large diffusion coefficients).
Abstract translation: 提供了一种用于通过使用NMR设备使用NMR设备对样品进行核磁共振(NMR)序列来检测含有烃的方法,以响应于NMR序列检测来自样品的信号,分析信号以提取 弛豫时间(或扩散)的分布,以及将样本的参数的值计算为弛豫时间(或扩散)中的至少一个的函数,其中所述计算利用修正因子,其将所述参数的值修改为 松弛时间的函数至少较短的弛豫时间(或作为至少大的扩散系数的扩散的函数)。
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