公开(公告)号：US20220164594A1

公开(公告)日：2022-05-26

申请号：US17593011

申请日：2020-03-11

Applicant: Schlumberger Technology Corporation

Inventor： Marie LeFranc ,  Zikri Bayraktar ,  Morten Kristensen ,  Philippe Marza ,  Isabelle Le Nir ,  Michael Prange ,  Josselin Kherroubi

IPC: G06K9/62

Abstract: Embodiments of the present disclosure are directed towards systems and methods for automated stratigraphy interpretation from borehole images. Embodiments may include constructing, using at least one processor, a training set of synthetic images corresponding to a borehole, wherein the training set includes one or more of synthetic images, real images, and modified images. Embodiments may further include automatically classifying, using the at least one processor, the training set into one or more individual sedimentary geometries using one or machine learning techniques. Embodiments may also include automatically classifying, using the at least one processor, the training set into one or more priors for depositional environments.

公开(公告)号：US20160003974A1

公开(公告)日：2016-01-07

申请号：US14764160

申请日：2014-01-28

Applicant: SCHLUMBERGER TECHNOLOGY CORPORATION

Inventor： Kang Wang ,  Philippe Marza ,  Shiduo Yang ,  Randolph Koepsell ,  Mi Zhou ,  Bin Bin Du ,  Rebecca Steinmann

IPC: G01V99/00 ,  G06F17/10

CPC classification number: G01V99/005 ,  E21B47/02 ,  G01V1/301 ,  G01V2210/27 ,  G01V2210/6169 ,  G01V2210/66 ,  G06F17/10

Abstract: Systems and methods for modeling subsurface rock formations based on well log data are provided. Systems include a downhole tool for acquiring data from which borehole dips may be picked and a processor including machine-readable instructions for curvature analysis based on inputs generated from the picked borehole dips data and which may be independent of 2D cross section model orientation. Methods (which may be incorporated in the machine-readable instructions corresponding to the systems) include pre-processing borehole dips data to generate inputs such as true stratigraphic thickness index, Local Constant Dips, borehole structural dip, and attributes for structural dip projections which may be used in a curvature analysis process for generating curvature logs such as standard, curvature along axis and curvature normal to axis logs from for smoothed dips, short zone structural dips and/or long zone structural dips.

Abstract translation: 提供了基于测井数据建模地下岩层的系统和方法。 系统包括井下工具，用于采集可从其中挑选钻孔汲取的数据，以及处理器，其包括基于从拾取的钻孔倾倒数据生成的输入的曲率分析的机器可读指令，并且可以独立于2D横截面模型取向。 方法（可以结合在与系统相对应的机器可读指令中）包括预处理钻孔倾斜数据，以生成输入，例如真实的地层厚度指数，局部恒定下沉，井眼结构倾角和结构倾斜投影的属性， 用于曲率分析过程中，用于产生曲率测井，例如标准曲率，沿轴线的曲率和垂直于轴线的曲率，用于平滑的倾角，短的区域结构下降和/或长的区域结构下降。

公开(公告)号：US11900658B2

公开(公告)日：2024-02-13

申请号：US17593011

申请日：2020-03-11

Applicant: Schlumberger Technology Corporation

Inventor： Marie LeFranc ,  Zikri Bayraktar ,  Morten Kristensen ,  Philippe Marza ,  Isabelle Le Nir ,  Michael Prange ,  Josselin Kherroubi

IPC: G06V10/772 ,  G06F18/2431 ,  G06F18/214 ,  G06F18/2415 ,  G06V10/774 ,  G06V10/82 ,  G06V10/44

CPC classification number: G06V10/772 ,  G06F18/2148 ,  G06F18/2415 ,  G06F18/2431 ,  G06V10/774 ,  G06V10/82 ,  G06V10/454

Abstract: Embodiments of the present disclosure are directed towards systems and methods for automated stratigraphy interpretation from borehole images. Embodiments may include constructing, using at least one processor, a training set of synthetic images corresponding to a borehole, wherein the training set includes one or more of synthetic images, real images, and modified images. Embodiments may further include automatically classifying, using the at least one processor, the training set into one or more individual sedimentary geometries using one or machine learning techniques. Embodiments may also include automatically classifying, using the at least one processor, the training set into one or more priors for depositional environments.

公开(公告)号：US10444405B2

公开(公告)日：2019-10-15

申请号：US14764160

申请日：2014-01-28

Applicant: Schlumberger Technology Corporation

Inventor： Kang Wang ,  Philippe Marza ,  Shiduo Yang ,  Randolph Koepsell ,  Mi Zhou ,  Bin Bin Du ,  Rebecca Steinmann

IPC: G06G7/48 ,  G01V99/00 ,  E21B47/02 ,  G01V1/30 ,  G06F17/10

Abstract: Systems and methods for modeling subsurface rock formations based on well log data are provided. Systems include a downhole tool for acquiring data from which borehole dips may be picked and a processor including machine-readable instructions for curvature analysis based on inputs generated from the picked borehole dips data and which may be independent of 2D cross section model orientation. Methods (which may be incorporated in the machine-readable instructions corresponding to the systems) include pre-processing borehole dips data to generate inputs such as true stratigraphic thickness index, Local Constant Dips, borehole structural dip, and attributes for structural dip projections which may be used in a curvature analysis process for generating curvature logs such as standard, curvature along axis and curvature normal to axis logs from for smoothed dips, short zone structural dips and/or long zone structural dips.