公开(公告)号：US11378710B2

公开(公告)日：2022-07-05

申请号：US16489286

申请日：2018-07-18

Applicant: Landmark Graphics Corporation

Inventor： Youli Mao ,  Bhaskar Mandapaka ,  Ashwani Dev ,  Satyam Priyadarshy

IPC: G01V1/50 ,  G06N20/00 ,  G06K9/62 ,  G06N3/08

Abstract: A method for determining a position of a geological feature in a formation includes acquiring a seismic dataset, wherein the seismic dataset is based on signals of one or more seismic sensors and determining a set of indicators of candidate discontinuities in the formation based on the seismic dataset. The method also includes labeling a subset of the set of indicators of candidate discontinuities using a neural network with a label based on the set of indicators of candidate discontinuities, wherein the label distinguishes an indicator of a candidate discontinuity between being an indicator of a target discontinuity or being an indicator of a non-target discontinuity and determining the position of the geological feature in the formation, wherein the geological feature in the formation is associated with at least one target discontinuity based on the subset of the set of indicators of candidate discontinuities.

公开(公告)号：US20230194738A1

公开(公告)日：2023-06-22

申请号：US17553091

申请日：2021-12-16

Applicant: Landmark Graphics Corporation

Inventor： Samiran Roy ,  Shreshth Srivastav ,  Bhaskar Mandapaka ,  Satyam Priyadarshy

IPC: G01V1/30 ,  G06N20/00 ,  E21B49/00

CPC classification number: G01V1/30 ,  G06N20/00 ,  E21B49/00 ,  G01V2210/61 ,  E21B2200/20 ,  E21B2200/22

Abstract: The disclosure presents processes to select cartographic reference system (CRS) recommendations from a CRS model where the CRS recommendations are matched to received seismic data. A learning mode can be used to build the CRS model where seismic data is matched to CRS. The learning mode can be automated using natural language processing system to parse the meta data for the seismic data, such as the name, area, or code, or label. The CRS model can be updated using an output from a user system, such as when a user manually matches a CRS to seismic data. The matched seismic data to CRS, e.g., seismic data-CRS match, can be used as input to a user system or a computing system, such as a borehole operation system.

公开(公告)号：US11269100B2

公开(公告)日：2022-03-08

申请号：US16610031

申请日：2017-12-21

Applicant: Landmark Graphics Corporation

Inventor： Youli Mao ,  Raja Vikram Pandya ,  Bhaskar Mandapaka ,  Keshava Prasad Rangarajan ,  Srinath Madasu ,  Satyam Priyadarshy ,  Ashwani Dev

IPC: G01V1/30 ,  G01V1/50 ,  G06K9/62 ,  G06N7/00 ,  G06N20/00

Abstract: A method includes receiving a training selection of a first set of faults located in a first subset of a seismic dataset for a subsurface geologic formation, detecting a second set of faults in the seismic dataset based on fault interpretation operations using a first set of interpretation parameters, and determining a difference between the first set of faults and the second set of faults. The method also includes generating a second set of interpretation parameters for the fault interpretation operations based on the difference between the first set of faults and the second set of faults, and determining a feature of the subsurface geologic formation based on fault interpretation operations using the second set of interpretation parameters.

公开(公告)号：US20200064507A1

公开(公告)日：2020-02-27

申请号：US16489286

申请日：2018-07-18

Applicant: Landmark Graphics Corporation

Inventor： Youli Mao ,  Bhaskar Mandapaka ,  Ashwani Dev ,  Satyam Priyadarshy

IPC: G01V1/50 ,  G06K9/62 ,  G06N3/08 ,  G06N20/00

Abstract: A method for determining a position of a geological feature in a formation includes acquiring a seismic dataset, wherein the seismic dataset is based on signals of one or more seismic sensors and determining a set of indicators of candidate discontinuities in the formation based on the seismic dataset. The method also includes labeling a subset of the set of indicators of candidate discontinuities using a neural network with a label based on the set of indicators of candidate discontinuities, wherein the label distinguishes an indicator of a candidate discontinuity between being an indicator of a target discontinuity or being an indicator of a non-target discontinuity and determining the position of the geological feature in the formation, wherein the geological feature in the formation is associated with at least one target discontinuity based on the subset of the set of indicators of candidate discontinuities.