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公开(公告)号:US20220156595A1
公开(公告)日:2022-05-19
申请号:US17310965
申请日:2020-03-09
Applicant: Schlumberger Technology Corporation
Inventor: Ravinath Kausik Kadayam Viswanathan , Lalitha Venkataramanan , Prakhar Srivastava , Augustin Prado , Noyan Evirgen , MaryEllen Loan , Harish Datir
Abstract: Embodiments herein include a method for characterizing a rock formation sample. The method for characterizing a rock formation sample includes obtaining a plurality of data sets characterizing the rock formation sample. The method further includes training a neural network to generate a computational model. Moreover, the method additionally includes using the plurality of data sets as input to the computational model, wherein the computational model may be implemented by a processor that derives an estimate of permeability of the rock formation sample.
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公开(公告)号:US11774621B2
公开(公告)日:2023-10-03
申请号:US16757607
申请日:2018-10-22
Applicant: SCHLUMBERGER TECHNOLOGY CORPORATION
Inventor: Lalitha Venkataramanan , Noyan Evirgen , David Allen , Albina Mutina
CPC classification number: G01V3/32 , E21B49/087 , G01F22/00 , G01V3/38
Abstract: Methods and systems are provided for characterizing fluids in a subterranean formation traversed by a borehole, where NMR data is measured by a downhole NMR tool that is conveyed in the borehole that traverses the formation. The NMR data is processed to derive T1-T2 maps at different depths of the formation. The T1-T2 maps at different depths of the formation can be processed to generate a cluster map of different fluids that are present in the formation, wherein the cluster map is a two-dimensional array of grid points in the T1-T2 domain with each grid point being assigned or classified to a specific fluid. The cluster map of different fluids that are present in the formation can be used to characterize properties of the formation, such as fluid volumes for the different fluids at one or a number of depths.
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公开(公告)号:US20200264331A1
公开(公告)日:2020-08-20
申请号:US16757607
申请日:2018-10-22
Applicant: SCHLUMBERGER TECHNOLOGY CORPORATION
Inventor: Lalitha Venkataramanan , Noyan Evirgen , David Allen , Albina Mutina
Abstract: Methods and systems are provided for characterizing fluids in a subterranean formation traversed by a borehole, where NMR data is measured by a downhole NMR tool that is conveyed in the borehole that traverses the formation. The NMR data is processed to derive T1-T2 maps at different depths of the formation. The T1-T2 maps at different depths of the formation can be processed to generate a cluster map of different fluids that are present in the formation, wherein the cluster map is a two-dimensional array of grid points in the T1-T2 domain with each grid point being assigned or classified to a specific fluid. The cluster map of different fluids that are present in the formation can be used to characterize properties of the formation, such as fluid volumes for the different fluids at one or a number of depths.
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