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    AUTOMATIC METHOD FOR THREE-DIMENSIONAL STRUCTURAL INTERPRETATION OF BOREHOLE IMAGES ACQUIRED IN HIGH-ANGLE AND HORIZONTAL WELLS
    4.
    发明申请
    AUTOMATIC METHOD FOR THREE-DIMENSIONAL STRUCTURAL INTERPRETATION OF BOREHOLE IMAGES ACQUIRED IN HIGH-ANGLE AND HORIZONTAL WELLS 审中-公开
    自动方法用于三角结构解释在高角度和水平井中获得的孔洞图像

    公开(公告)号：US20160370480A1

    公开(公告)日：2016-12-22

    申请号：US15122376

    申请日：2015-02-27

    Applicant: SCHLUMBERGER TECHNOLOGY CORPORATION

    Inventor： Sushil Shetty ,  John Rasmus ,  Christopher Edward Morriss ,  Koji Ito ,  Shahzad Asif ,  Vittorio Picco

    IPC: G01V1/30 ,  G01V1/34

    CPC classification number: G01V1/30 ,  G01V1/34 ,  G01V1/50 ,  G01V3/18 ,  G01V5/04

    Abstract: A method for automatic interpretation of bulls-eye and sinusoidal features observed in LWD images is disclosed. In some embodiments, the method includes an automatic workflow for extracting smooth contours from images that demarcate boundaries of structural features, followed by projection of the contours to three-dimensional (3D) point clouds in the well coordinate system for structural interpretation. The method may characterize both sinusoidal features and bulls-eye features, taking into account variations of formation dip/azimuth, or well inclination/azimuth, on the topology of a structural feature. The disclosed method may be sufficiently fast for use in real-time analysis and interpretation, or to provide constraints for physics-based data inversion processing.

    Abstract translation: 公开了一种用于自动解释LWD图像中观察到的多眼和正弦特征的方法。 在一些实施例中，该方法包括用于从划分结构特征的边界的图像提取平滑轮廓的自动工作流程，随后将轮廓投影到用于结构解释的井坐标系中的三维（3D）点云。 考虑到结构特征的拓扑结构的地层倾斜/方位角或井倾角/方位角的变化，该方法可以表征正弦特征和公牛眼特征。 所公开的方法可以足够快以用于实时分析和解释，或为基于物理的数据反演处理提供约束。

    Method for determining properties of a thinly laminated formation by inversion of multisensor wellbore logging data
    5.
    发明授权
    Method for determining properties of a thinly laminated formation by inversion of multisensor wellbore logging data 有权

    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).

    Method for determining formation properties by inversion of multisensor wellbore logging data
    7.
    发明授权
    Method for determining formation properties by inversion of multisensor wellbore logging data 有权

    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

    IPC: G01V99/00 ,  G01V11/00 ,  G01N15/08

    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.

    Inversion-based workflow for consistent interpretation of nuclear density images in horizontal wells
    8.
    发明授权
    Inversion-based workflow for consistent interpretation of nuclear density images in horizontal wells 有权

    公开(公告)号：US10914861B2

    公开(公告)日：2021-02-09

    申请号：US15027007

    申请日：2014-10-06

    Applicant: SCHLUMBERGER TECHNOLOGY CORPORATION

    Inventor： Dzevat Omeragic ,  Hui Xie ,  Tarek M. Habashy ,  Sushil Shetty

    IPC: G01V5/12 ,  G01V5/08

    Abstract: Systems and methods are disclosed for well logging using radiation detection and/or emission of gamma rays. A method according to the disclosure includes collecting data from the subterranean formation using a nuclear density tool, wherein the nuclear density tool is configured to collect data to form an azimuthal image. The method further includes characterizing a section of the subterranean formation comprising data and images acquired in a high angle wellbore section, a horizontal wellbore section, or a combination thereof. The method additionally includes performing a parallel inversion using apparent densities and volumetric photoelectric factor images to build a formation model, wherein the parallel inversion comprises a high angle workflow that models high angle wellbore sections and a horizontal workflow that models horizontal wellbore sections.

    METHOD FOR DETERMINING PROPERTIES OF A THINLY LAMINATED FORMATION BY INVERSION OF MULTISENSOR WELLBORE LOGGING DATA
    9.
    发明申请
    METHOD FOR DETERMINING PROPERTIES OF A THINLY LAMINATED FORMATION BY INVERSION OF MULTISENSOR WELLBORE LOGGING DATA 审中-公开

    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

    IPC: G01V1/50 ,  E21B49/00 ,  E21B43/02 ,  E21B47/00

    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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