公开(公告)号：US10152783B2

公开(公告)日：2018-12-11

申请号：US15345602

申请日：2016-11-08

Applicant: Schlumberger Technology Corporation

Inventor： Shiduo Yang ,  Isabelle Le Nir ,  Kang Wang

IPC: G06K9/00 ,  G06T7/00 ,  G01N15/14 ,  G06K9/62 ,  H04N7/18 ,  G01V3/30 ,  G01V99/00 ,  G01N15/10 ,  H04N5/225

Abstract: In one embodiment, a method includes obtaining a borehole image deriving from a downhole tool in a wellbore of a geological formation, identifying one or more patches that correspond to sediment particles on the fullbore image, computing one or more characteristics for each of the one or more patches. The one or more characteristics may include long/short axis length, size, roundness, sphericity, orientation, or some combination thereof. The method may also include displaying a visual representation for each of the one or more characteristics.

公开(公告)号：US20170178313A1

公开(公告)日：2017-06-22

申请号：US15345602

申请日：2016-11-08

Applicant: Schlumberger Technology Corporation

Inventor： Shiduo Yang ,  Isabelle Le Nir ,  Kang Wang

IPC: G06T7/00 ,  G06K9/62 ,  G01N15/14 ,  H04N7/18

CPC classification number: G06T7/0004 ,  G01N15/1463 ,  G01N2015/1087 ,  G01N2015/1093 ,  G01V3/30 ,  G01V99/005 ,  G06K9/6267 ,  H04N7/183 ,  H04N2005/2255

Abstract: In one embodiment, a method includes obtaining a borehole image deriving from a downhole tool in a wellbore of a geological formation, identifying one or more patches that correspond to sediment particles on the fullbore image, computing one or more characteristics for each of the one or more patches. The one or more characteristics may include long/short axis length, size, roundness, sphericity, orientation, or some combination thereof. The method may also include displaying a visual representation for each of the one or more characteristics.

公开(公告)号：US12154259B2

公开(公告)日：2024-11-26

申请号：US18173484

申请日：2023-02-23

Applicant: Schlumberger Technology Corporation

Inventor： Alexis He ,  Bashar Qamhiyeh ,  Martin Carles ,  Laetitia Comparon ,  Nadege Bize-Forest ,  Isabelle Le Nir

IPC: E21B47/002 ,  G06T7/00 ,  E21B7/04

Abstract: Process for interpreting one or more borehole images for use in drilling operations. In some embodiments, the process can include providing an input borehole image obtained from a downhole measurement provided by one or more downhole sensors. The process can also include collecting contextual information relative to the borehole image and the user. The process can also include using the collected contextual information and a mathematical model to infer one or more processing arguments. The mathematical model can be defined by using previously collected arguments and previously collected contextual information. The process can also include processing the input borehole image with the one or more inferred processing arguments to generate one or more interpreted borehole images. The process can also include adjusting one or more drilling operation based, at least in part, on the one or more interpreted borehole images.

公开(公告)号：US10151857B2

公开(公告)日：2018-12-11

申请号：US15416322

申请日：2017-01-26

Applicant: Schlumberger Technology Corporation

Inventor： Tetsushi Yamada ,  Isabelle Le Nir

IPC: G06F19/00 ,  G01V99/00

Abstract: Embodiments of the disclosure involve a method comprising a method comprising inputting borehole dip data; determining characteristics of a plurality of dips based on the borehole dip data; applying one or more geological models to the characteristics; and generating one or more geological cross-sections based on geological modeling.

公开(公告)号：US20170227675A1

公开(公告)日：2017-08-10

申请号：US15416322

申请日：2017-01-26

Applicant: Schlumberger Technology Corporation

Inventor： Tetsushi Yamada ,  Isabelle Le Nir

IPC: G01V99/00

CPC classification number: G01V99/005 ,  G01V2210/1429

Abstract: Embodiments of the disclosure involve a method comprising a method comprising inputting borehole dip data; determining characteristics of a plurality of dips based on the borehole dip data; applying one or more geological models to the characteristics; and generating one or more geological cross-sections based on geological modeling.

公开(公告)号：US20230267594A1

公开(公告)日：2023-08-24

申请号：US18173484

申请日：2023-02-23

Applicant: Schlumberger Technology Corporation

Inventor： Alexis He ,  Bashar Qamhiyeh ,  Martin Carles ,  Laetitia Comparon ,  Nadege Bize-Forest ,  Isabelle Le Nir

IPC: G06T7/00 ,  E21B47/002

CPC classification number: G06T7/0004 ,  E21B47/0025 ,  G06T2207/20081 ,  G06T2207/30181 ,  E21B2200/20 ,  E21B7/04

Abstract: Process for interpreting one or more borehole images for use in drilling operations. In some embodiments, the process can include providing an input borehole image obtained from a downhole measurement provided by one or more downhole sensors. The process can also include collecting contextual information relative to the borehole image and the user. The process can also include using the collected contextual information and a mathematical model to infer one or more processing arguments. The mathematical model can be defined by using previously collected arguments and previously collected contextual information. The process can also include processing the input borehole image with the one or more inferred processing arguments to generate one or more interpreted borehole images. The process can also include adjusting one or more drilling operation based, at least in part, on the one or more interpreted borehole images.

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：US10755427B2

公开(公告)日：2020-08-25

申请号：US15987030

申请日：2018-05-23

Applicant: Schlumberger Technology Corporation

Inventor： Yuki Matsumura ,  Tetsushi Yamada ,  Josselin Kherroubi ,  Isabelle Le Nir

IPC: G06K9/00 ,  G06T7/529 ,  G01V8/02 ,  G01V3/38 ,  G01V5/12 ,  G01N23/046 ,  G01N33/24 ,  G06T7/40 ,  G01V1/50 ,  G01V1/30 ,  G06K9/46 ,  G06K9/62 ,  G06T7/12 ,  G06T7/42 ,  G01V3/18 ,  G06T7/143

Abstract: The disclosure relates to methods and systems for analyzing an image of the formation intersected by a borehole. One of the methods determines a local apparent dip of the borehole at least at a measured depth i represented on the image, applies at least a window to the image, wherein each of the windows includes one of the measured depth i and is shaped as a function of the determined local dip at the corresponding measured depth i, compares a texture of at least a first zone of each window and a texture of at least a second zone of said window, wherein each of the first and second zones are adjacent and shaped as a function of the determined dip. Based on the comparison, the method determines at least a location of a texture boundary and derives a property of the formation. The other method includes determine locations of the texture boundaries, segmenting the image as a function of the texture boundaries, and perform clustering of the segments in order to determine a facies of the formation.

公开(公告)号：US10378346B2

公开(公告)日：2019-08-13

申请号：US14378973

申请日：2013-02-13

Applicant: Schlumberger Technology Corporation

Inventor： Arnaud Etchecopar ,  Daniel Quesada ,  Isabelle Le Nir

IPC: G01V3/20 ,  E21B43/26 ,  E21B47/00 ,  E21B49/02

Abstract: Systems and methods for estimating surface of fracture per volume of rock are provided. The systems include a logging tool, such as a resistivity tool, for generating a borehole image representative of segments of fractures in one or more planes and a processor for estimating surface of fracture per volume of rock (P32) from the segments without the need for defining the one or more planes bearing the segments. The methods include using a downhole logging tool, such as a resistivity tool, to collect data corresponding to segments of fractures in one or more planes, and estimating surface of fracture per volume of rock (P32) by reconstructing theoretical elliptical fractures from the segment data, calculating length of fracture segment per surface of borehole (P21) for the theoretical elliptical fractures, and deriving P32 from P21.

公开(公告)号：US20180342073A1

公开(公告)日：2018-11-29

申请号：US15987030

申请日：2018-05-23

Applicant: Schlumberger Technology Corporation

Inventor： Yuki Matsumura ,  Tetsushi Yamada ,  Josselin Kherroubi ,  Isabelle Le Nir

IPC: G06T7/529 ,  G01V8/02 ,  G01V3/38 ,  G01V5/12 ,  G01V1/30 ,  G01N23/046 ,  G01N33/24 ,  G06T7/40

CPC classification number: G06T7/529 ,  G01N23/046 ,  G01N33/24 ,  G01V1/301 ,  G01V1/306 ,  G01V1/50 ,  G01V3/18 ,  G01V3/38 ,  G01V5/12 ,  G01V8/02 ,  G01V2210/624 ,  G01V2210/6244 ,  G01V2210/74 ,  G06K9/4642 ,  G06K9/6219 ,  G06K9/6223 ,  G06T7/12 ,  G06T7/143 ,  G06T7/40 ,  G06T7/42 ,  G06T2207/10081 ,  G06T2207/20076 ,  G06T2207/30181

Abstract: The disclosure relates to methods and systems for analyzing an image of the formation intersected by a borehole. One of the methods determines a local apparent dip of the borehole at least at a measured depth i represented on the image, applies at least a window to the image, wherein each of the windows includes one of the measured depth i and is shaped as a function of the determined local dip at the corresponding measured depth i, compares a texture of at least a first zone of each window and a texture of at least a second zone of said window, wherein each of the first and second zones are adjacent and shaped as a function of the determined dip. Based on the comparison, the method determines at least a location of a texture boundary and derives a property of the formation. The other method includes determine locations of the texture boundaries, segmenting the image as a function of the texture boundaries, and perform clustering of the segments in order to determine a facies of the formation.