公开(公告)号：US20240151866A1

公开(公告)日：2024-05-09

申请号：US18485339

申请日：2023-10-12

Applicant: Schlumberger Technology Corporation

Inventor： Nestor Herman Cuevas ,  Hilde Grude Borgos ,  Geir Vaaland Dahl ,  Michael Hermann Nickel

IPC: G01V1/30 ,  E21B49/08 ,  G01V11/00

CPC classification number: G01V1/301 ,  E21B49/087 ,  G01V1/306 ,  G01V11/005 ,  G01V2210/66

Abstract: A geological projection system may receive seismic survey data, the seismic survey data including a seismic surface of a geological feature. A geological projection system may receive resistivity sensor data from a downhole resistivity sensor, the resistivity sensor data being for a reference length uphole of a reference depth. A geological projection system may generate a sensed surface over the reference length using the resistivity sensor data. A geological projection system may generate a displacement field of a difference between the sensed surface and the seismic surface for the reference length. A geological projection system may apply an uncertainty model to at least one of the resistivity sensor data, the seismic survey data, or the displacement field, the uncertainty model generating an output including an uncertainty distribution of a projected surface of the geological feature downhole of the reference depth.

公开(公告)号：US20190024501A1

公开(公告)日：2019-01-24

申请号：US15510599

申请日：2015-09-04

Applicant: SCHLUMBERGER TECHNOLOGY CORPORATION ,  PRAD RESEARCH AND DEVELOPMENT LIMITED

Inventor： Hilde Grude Borgos ,  Lars Sønneland

IPC: E21B47/022 ,  G01V1/28

Abstract: A method is provided for constraining a seismic inversion using real-time measurements. The method comprises: receiving a seismic signal/seismic data; obtaining logging-while-drilling (LWD) measurements made during a drilling procedure; using the LWD measurements to constrain an inversion of the seismic signal/data; and using the inverted seismic signal/data to: obtain an image of a subterranean section of the Earth, determine properties of the subterranean section of the Earth and/or update a model of the subterranean section of the Earth.

公开(公告)号：US20240159931A1

公开(公告)日：2024-05-16

申请号：US18422228

申请日：2024-01-25

Applicant: Schlumberger Technology Corporation

Inventor： Nestor Herman Cuevas ,  Hilde Grude Borgos ,  Geir Vaaland Dahl ,  Michael Hermann Nickel

IPC: G01V1/30 ,  E21B49/08 ,  G01V11/00

CPC classification number: G01V1/301 ,  E21B49/087 ,  G01V1/306 ,  G01V11/005 ,  G01V2210/66

Abstract: A system and method that include receiving seismic survey data, the seismic survey data including a seismic geological property. The system and method also include receiving resistivity sensor data from a downhole resistivity sensor, the resistivity sensor data being for a reference length uphole of a reference depth. The system and method additionally include determining a sensed geological property of a geological feature in the reference length, the sensed geological property being determined based on the resistivity sensor data. The system and method also include determining a covariance of the sensed geological property and the seismic geological property and applying an uncertainty model to the sensed geological property and the covariance of the sensed geological property, the uncertainty model generating an output including an uncertainty distribution of a projected geological property downhole of the reference depth.

公开(公告)号：US11313994B2

公开(公告)日：2022-04-26

申请号：US16484879

申请日：2018-02-09

Applicant: Schlumberger Technology Corporation

Inventor： Nader Salman ,  Victor Aarre ,  Hilde Grude Borgos ,  Michael Hermann Nickel

IPC: G06N20/00 ,  G01V99/00 ,  G01V1/28 ,  G01V1/30 ,  G01V1/36 ,  G01V1/50 ,  G01V3/08 ,  G01V3/18 ,  G01V3/38

Abstract: A method can include selecting a type of geophysical data; selecting a type of algorithm; generating synthetic geophysical data based at least in part on the algorithm; training a deep learning framework based at least in part on the synthetic geophysical data to generate a trained deep learning framework; receiving acquired geophysical data for a geologic environment; implementing the trained deep learning framework to generate interpretation results for the acquired geophysical data; and outputting the interpretation results.

公开(公告)号：US20190383965A1

公开(公告)日：2019-12-19

申请号：US16484879

申请日：2018-02-09

Applicant: Schlumberger Technology Corporation

Inventor： Nader Salman ,  Victor Aarre ,  Hilde Grude Borgos ,  Michael Hermann Nickel

IPC: G01V99/00 ,  G01V1/36 ,  G01V1/50 ,  G01V1/28 ,  G01V3/38 ,  G01V1/30 ,  G01V3/08 ,  G01V3/18 ,  G06N20/00

Abstract: A method can include selecting a type of geophysical data; selecting a type of algorithm; generating synthetic geophysical data based at least in part on the algorithm; training a deep learning framework based at least in part on the synthetic geophysical data to generate a trained deep learning framework; receiving acquired geophysical data for a geologic environment; implementing the trained deep learning framework to generate interpretation results for the acquired geophysical data; and outputting the interpretation results.