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    SYSTEMS AND METHODS FOR MEASURING PHYSICAL LITHOLOGICAL FEATURES BASED ON CALIBRATED PHOTOGRAPHS OF ROCK PARTICLES
    2.
    发明公开
    SYSTEMS AND METHODS FOR MEASURING PHYSICAL LITHOLOGICAL FEATURES BASED ON CALIBRATED PHOTOGRAPHS OF ROCK PARTICLES 审中-公开

    公开(公告)号：US20230220770A1

    公开(公告)日：2023-07-13

    申请号：US17647412

    申请日：2022-01-07

    Applicant: Schlumberger Technology Corporation

    Inventor： Tetsushi Yamada ,  Simone Di Santo

    IPC: E21B49/00 ,  G01N33/24

    CPC classification number: E21B49/005 ,  G01N33/24 ,  E21B44/00

    Abstract: Systems and methods presented herein generally relate to measuring physical lithological features based on calibrated photographs of cuttings and, more specifically, to the analysis of individual cuttings that are identified in the calibrated photographs of the cuttings. For example, the systems and methods presented herein are configured to receive one or more photographs that depict a plurality of cuttings, to identify one or more individual cuttings of the plurality of cuttings depicted in the one or more photographs, to extract morphological, color, texture, grain size, and grain distribution data from each individual cutting of the one or more individual cuttings, to perform lithological classification of the one or more individual cuttings at a plurality of hierarchical levels based at least in part on the extracted morphological, color, texture, grain size, and grain distribution data or based at least in part on features directly extracted from the one or more individual cuttings that represent the morphological, color, texture, grain size, and grain distribution data, and to present a consolidated results summary of the lithological classification of the one or more individual cuttings at the plurality of hierarchical levels via the analysis and control system.

    SYSTEMS AND METHODS FOR SEGMENTING ROCK PARTICLE INSTANCES
    7.
    发明公开
    SYSTEMS AND METHODS FOR SEGMENTING ROCK PARTICLE INSTANCES 审中-公开

    公开(公告)号：US20230220761A1

    公开(公告)日：2023-07-13

    申请号：US17647407

    申请日：2022-01-07

    Applicant: Schlumberger Technology Corporation

    Inventor： Tetsushi Yamada ,  Simone Di Santo

    IPC: E21B44/02 ,  G06V10/77 ,  G06V10/774 ,  G06V10/82 ,  G06V20/10 ,  G06N3/08

    CPC classification number: E21B44/02 ,  G06V10/7715 ,  G06V10/774 ,  G06V10/82 ,  G06V20/10 ,  G06N3/08 ,  E21B2200/22

    Abstract: Systems and methods presented herein are configured to train a neural network model using a first set of photographs, wherein each photograph of the first set of photographs depicts a first set of objects and include one or more annotations relating to each object of the first set of objects; to automatically create mask images corresponding to a second set of objects depicted by a second set of photographs; to enable manual fine tuning of the mask images corresponding to the second set of objects depicted by the second set of photographs; to re-train the neural network model using the second set of photographs, wherein the re-training is based at least in part on the manual fine tuning of the mask images corresponding to the second set of objects depicted by the second set of photographs; and to identify one or more individual objects in a third set of photographs using the re-trained neural network model.

    Characterizing Porosity Distribution from a Borehole Image
    10.
    发明申请
    Characterizing Porosity Distribution from a Borehole Image 有权
    从孔眼图像表征孔隙度分布

    公开(公告)号：US20160155021A1

    公开(公告)日：2016-06-02

    申请号：US14897733

    申请日：2014-06-23

    Applicant: SCHLUMBERGER TECHNOLOGY CORPORATION

    Inventor： Tetsushi Yamada ,  Daniel Quesada ,  Isabelle Le Nir

    IPC: G06K9/62 ,  G06K9/46 ,  G06K9/20

    CPC classification number: G06K9/6232 ,  G01V1/306 ,  G01V1/50 ,  G06K9/209 ,  G06K9/4633 ,  G06K9/4638 ,  G06K9/6267 ,  G06K9/6298

    Abstract: Apparatus and methods for use with borehole image data to: delineate a dip and/or a fracture from the borehole image data; create a gap-filled image from the borehole image data; extract a fracture segment from the borehole image data; determine matrix information from the borehole image data; delineate a heterogeneity from the borehole image data; and analyze image porosity. The image porosity analysis is based on: the dip and/or fracture delineated from the borehole image data; the gap-filled image created from the borehole image data; the fracture segment extracted from the borehole image data; the matrix information determined from the borehole image data; and the heterogeneity delineated from the borehole image data.

    Abstract translation: 用于钻孔图像数据的装置和方法：从钻孔图像数据描绘塌陷和/或断裂; 从钻孔图像数据创建填充空白的图像; 从井眼图像数据中提取骨折段; 从钻孔图像数据确定矩阵信息; 从钻孔图像数据中划分出异质性; 并分析图像孔隙度。 图像孔隙度分析基于：从钻孔图像数据描绘的浸渍和/或裂缝; 从钻孔图像数据创建的填充间隙的图像; 从井眼图像数据中提取骨折段; 从井眼图像数据确定的矩阵信息; 以及从钻孔图像数据中描绘的异质性。

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