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公开(公告)号：US20220082014A1
公开(公告)日：2022-03-17
申请号：US17310988
申请日：2020-03-10
Applicant: Schlumberger Technology Corporation
Inventor： Chang-Yu Hou , Lin Liang , Lalitha Venkataramanan , Harish Baban Datir , Austin Boyd , Vasileios-Marios Gkortsas
Abstract: Methods and systems are provided characterizing a formation traversed by a wellbore, wherein the formation includes at least a flushed zone and an uninvaded zone, which involve obtaining well log data based on plurality of different well log measurements of the formation at multiple depths in the wellbore. The well log data is used to a computational model that solves for a set of petrophysical parameters that characterize a portion of the formation corresponding to the multiple depths in the wellbore, wherein the set of petrophysical parameters include a cementation exponent, a saturation exponent, and a flushed zone water resistivity. The solved-for set of petrophysical parameters can be used to determine a value of water saturation of the uninvaded zone for the portion of the formation corresponding to the multiple depths in the wellbore.
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2.发明申请公开(公告)号：US20200096663A1
公开(公告)日：2020-03-26
申请号：US16612320
申请日：2018-04-23
Applicant: SCHLUMBERGER TECHNOLOGY CORPORATION
Inventor： Sushil Shetty , Qiwei Zhan , Lin Liang , Austin Boyd , Smaine Zeroug , Vanessa Simoes , Fabio Cesar Canesin
Abstract: A method for determining properties of a laminated formation traversed by a well or wellbore employs measured sonic data, resistivity data, and density data for an interval-of-interest within the well or wellbore. A formation model that describe properties of the laminated formation at the interval-of-interest is derived from the measured sonic data, resistivity data, and density data for the interval-of-interest. The formation model represents the laminated formation at the interval-of-interest as first and second zones of different first and second rock types. The formation model is used to derive simulated sonic data, resistivity data, and density data for the interval-of-interest. The measured sonic data, resistivity data, and density data for the interval-of-interest and the simulated sonic data, resistivity data, and density data for the interval-of-interest are used to refine the formation model and determine properties of the formation at the interval-of-interest. The properties of the formation may be a radial profile for porosity, a radial profile for water saturation, a radial profile for gas saturation, radial profile of oil saturation, and radial profiles for pore shapes for the first and second zones (or rock types).
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公开(公告)号：US11814931B2
公开(公告)日：2023-11-14
申请号：US16427472
申请日：2019-05-31
Applicant: Schlumberger Technology Corporation
Inventor： Nadege Bize-Forest , Laura Lima Angelo dos Santos , Lucas Lima de Carvalho , Victoria Baines , Austin Boyd , Peter Schlicht , Josselin Kherroubi
CPC classification number: E21B41/00 , G01V99/005 , G06F11/004 , G06F16/355 , G06N20/00 , G06Q10/06 , E21B49/00
Abstract: Using machine learning for sedimentary facies prediction by using one or more logs acquired in a borehole. This includes performing a petrophysical clustering of borehole depths wherein the depths of the borehole are gathered into clusters based on similarities in the one or more logs. Also performed is a log inclusion optimization, including a selection of one or more parameters of the petrophysical clustering, wherein the one or more parameters include a number and/or type of considered logs among the one or more logs and/or a clustering method. Also performed is a classification of the clusters into core depositional facies using one or more predetermined rules.
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4.发明申请公开(公告)号：US20170371072A1
公开(公告)日：2017-12-28
申请号：US15544187
申请日：2016-01-25
Applicant: SCHLUMBERGER TECHNOLOGY CORPORATION
Inventor： Sushil Shetty , Lin Liang , Tarek M. Habashy , Vanessa Simoes , Austin Boyd , Bikash K. Sinha , Smaine Zeroug
CPC classification number: G01V99/005 , G01N15/088 , G01V11/00 , G01V2210/1429 , G01V2210/622
Abstract: A method for determining properties of a formation traversed by a well or wellbore employs measured sonic data, resistivity data, and density data for an interval-of-interest within the well or wellbore. A formation model that describe properties of the formation at the interval-of-interest is derived from the measured sonic data, resistivity data, and density data for the interval-of-interest. The formation model is used to derive simulated sonic data, resistivity data, and density data for the interval-of-interest. The measured sonic data, resistivity data, and density data for the interval-of-interest and the simulated sonic data, resistivity data, and density data for the interval-of-interest are used to refine the formation model and determine properties of the formation at the interval-of-interest. The properties of the formation may be a radial profile for porosity, a radial profile for water saturation, a radial profile for gas saturation, a radial profile of oil saturation, and a radial profile for pore aspect ratio.
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Patent Agency Ranking
公开(公告)号：US20150234069A1
公开(公告)日：2015-08-20
申请号：US14623409
申请日：2015-02-16
Applicant: Schlumberger Technology Corporation
Inventor： Terizhandur S. Ramakrishnan , Nadege Bize-Forest , Rodolfo Oliveira , Flora Marques , Austin Boyd , Emmanuel Bize
Abstract: Methods and systems acquiring acoustic data utilizing a downhole tool conveyed within a borehole extending into a subterranean formation. The downhole tool is in communication with surface equipment disposed at a wellsite surface from which the borehole extends. Techniques involve operating at least one of the downhole tool and the surface equipment to generate a histogram based on the acoustic data, normalizing the histogram, and calculating a vug index based on the normalized histogram and based on a threshold of the normalized histogram. A vug porosity quantity may be determined based on the calculated vug index.
Abstract translation: 使用在延伸到地下地层的钻孔内传送的井下工具获取声学数据的方法和系统。 井下工具与设置在钻孔延伸的井场表面处的表面设备连通。 技术涉及操作井下工具和表面设备中的至少一个，以基于声学数据生成直方图，对直方图进行归一化，以及基于标准化直方图以及基于归一化直方图的阈值来计算血管指数。 孔隙度的孔隙度可以根据计算出的孔隙度指数来确定。
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公开(公告)号：US12291963B2
公开(公告)日：2025-05-06
申请号：US17310988
申请日：2020-03-10
Applicant: Schlumberger Technology Corporation
Inventor： Chang-Yu Hou , Lin Liang , Lalitha Venkataramanan , Harish Baban Datir , Austin Boyd , Vasileios-Marios Gkortsas
Abstract: Methods and systems are provided characterizing a formation traversed by a wellbore, wherein the formation includes at least a flushed zone and an uninvaded zone, which involve obtaining well log data based on plurality of different well log measurements of the formation at multiple depths in the wellbore. The well log data is used by a computational model that solves for a set of petrophysical parameters that characterize a portion of the formation corresponding to the multiple depths in the wellbore, wherein the set of petrophysical parameters include a cementation exponent, a saturation exponent, and a flushed zone water resistivity. The solved-for set of petrophysical parameters can be used to determine a value of water saturation of the uninvaded zone for the portion of the formation corresponding to the multiple depths in the wellbore.
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公开(公告)号：US11624849B2
公开(公告)日：2023-04-11
申请号：US15978972
申请日：2018-05-14
Applicant: SCHLUMBERGER TECHNOLOGY CORPORATION
Inventor： Austin Boyd , Vanessa Simoes , Bikash Kumar Sinha , Smaine Zeroug , Anna Paula Lougon Duarte
IPC: G01V1/30
Abstract: A method for estimating all five transversely-isotropic (TI)-elastic constants using borehole sonic data obtained from at least one subterranean borehole in a transversely isotropic formation. In an embodiment, the method includes: solving for a quasi-compressional qP-wave velocity VqP using inversion algorithms based on exact solutions of the Kelvin-Christoffel equations for plane wave velocities in arbitrarily anisotropic formations, where the five TI-elastic constants may include C11, C13, C33, C55, and C66.
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公开(公告)号：US11422280B2
公开(公告)日：2022-08-23
申请号：US16612320
申请日：2018-04-23
Applicant: SCHLUMBERGER TECHNOLOGY CORPORATION
Inventor： Sushil Shetty , Qiwei Zhan , Lin Liang , Austin Boyd , Smaine Zeroug , Vanessa Simoes , Fabio Cesar Canesin
IPC: G01V1/50 , E21B43/02 , E21B49/00 , E21B47/005
Abstract: A method for determining properties of a laminated formation traversed by a well or wellbore employs measured sonic data, resistivity data, and density data for an interval-of-interest within the well or wellbore. A formation model that describe properties of the laminated formation at the interval-of-interest is derived from the measured sonic data, resistivity data, and density data for the interval-of-interest. The formation model represents the laminated formation at the interval-of-interest as first and second zones of different first and second rock types. The formation model is used to derive simulated sonic data, resistivity data, and density data for the interval-of-interest. The measured sonic data, resistivity data, and density data for the interval-of-interest and the simulated sonic data, resistivity data, and density data for the interval-of-interest are used to refine the formation model and determine properties of the formation at the interval-of-interest. The properties of the formation may be a radial profile for porosity, a radial profile for water saturation, a radial profile for gas saturation, radial profile of oil saturation, and radial profiles for pore shapes for the first and second zones (or rock types).
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9.发明授权公开(公告)号：US10365405B2
公开(公告)日：2019-07-30
申请号：US15544187
申请日：2016-01-25
Applicant: SCHLUMBERGER TECHNOLOGY CORPORATION
Inventor： Sushil Shetty , Lin Liang , Tarek M. Habashy , Vanessa Simoes , Austin Boyd , Bikash K. Sinha , Smaine Zeroug
Abstract: A computer-implemented method is provided for determining properties of a formation traversed by a well or wellbore. A formation model describing formation properties at an interval-of-interest within the well or wellbore is derived from measured sonic data, resistivity data, and density data for the interval-of-interest. The formation model is used as input to a plurality of petrophysical transforms and corresponding tool response simulators that derive simulated sonic data, resistivity data, and density data for the interval-of-interest. The measured sonic data, resistivity data, and density data for the interval-of-interest and the simulated sonic data, resistivity data, and density data for the interval-of-interest are used by an inversion process to refine the formation model and determine properties of the formation at the interval-of-interest. In embodiments, properties of the formation may be radial profiles for porosity, water saturation, gas or oil saturation, or pore aspect ratio.
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