公开(公告)号：US11954567B2

公开(公告)日：2024-04-09

申请号：US16963313

申请日：2020-02-20

Applicant: Landmark Graphics Corporation

Inventor： Jiazuo Zhang ,  Graham Baines

IPC: G06F18/22 ,  G01V20/00 ,  G06F18/214 ,  G06F18/2431 ,  G06N20/00

CPC classification number: G06N20/00 ,  G01V20/00 ,  G06F18/214 ,  G06F18/22 ,  G06F18/2431 ,  G01V2210/66

Abstract: According to some aspects, machine-learning models can be executed to classify a subsurface rock. Examples include training numerous machine-learning models using training data sets with different probability distributions, and then selecting a model to execute on a test data set. The selection of the model may be based on the similarity of each data point of the test data set and the probability distribution of each training class. Examples include detecting and recommending a pre-trained model to generate outputs predicting a classification, such as a lithology, of a test data set. Recommending the trained model may be based on calculated prior probabilities that measure the similarity between the training and test data sets. The model with a training data set that is most similar to the test data set can be recommended for classifying a physical property of the subsurface rock for hydrocarbon formation.

公开(公告)号：US20250044468A1

公开(公告)日：2025-02-06

申请号：US18362402

申请日：2023-07-31

Applicant: Landmark Graphics Corporation

Inventor： Marc Paul Servais ,  Graham Baines ,  Daniel Thomas-Possee ,  Fan Jiang ,  Konstantin Osypov

IPC: G01V1/28 ,  G01V1/30 ,  G01V1/34 ,  G06N3/08

Abstract: Some implementations may include a method for detecting, by a learning machine, a geobody in a seismic volume. The method may include receiving a first seismic input tile representing first seismic data from the seismic volume; receiving a first guide input tile including first labels that indicate presence of the geobody in a respective region in the seismic volume or absence of the geobody in the respective region, and one or more unlabeled regions that make no indication about presence or absence of the geobody; and determining, based on the first seismic input tile and the first guide input tile, a first prediction about geobody presence or absence in the seismic volume.

公开(公告)号：US20240418886A1

公开(公告)日：2024-12-19

申请号：US18414336

申请日：2024-01-16

Applicant: Landmark Graphics Corporation

Inventor： Daniel Thomas-Possee ,  Satyan Singh ,  Graham Baines ,  Konstantin Osypov ,  Chaoshun Hu

IPC: G01V1/28

Abstract: A method for generating a merged survey dataset, that includes obtaining a plurality of survey datasets, calculating edges between survey datasets of the plurality of survey datasets, modifying the plurality of survey datasets, based on the edges, to obtain a plurality of modified survey datasets, and generating the merged survey dataset using the plurality of modified survey datasets.

公开(公告)号：US20240311444A1

公开(公告)日：2024-09-19

申请号：US18184112

申请日：2023-03-15

Applicant: Landmark Graphics Corporation

Inventor： Andrew Davies ,  Graham Baines

IPC: G06F18/2411 ,  G01V1/30

CPC classification number: G06F18/2411 ,  G01V1/30

Abstract: A method comprising obtaining a thickness for each of one or more sediment packages of a subsurface formation. The method comprises generating a thickness profile of each of the one or more sediment packages based on the thickness. The method comprises obtaining one or more properties of each of the one or more sediment packages based on the thickness profile. The method comprises generating, via a learning machine, one or more sediment package classifications based on the one or more properties. The method comprises and performing a subsurface operation based on the one or more sediment package classifications.

公开(公告)号：US20240103192A1

公开(公告)日：2024-03-28

申请号：US17950995

申请日：2022-09-22

Applicant: Landmark Graphics Corporation

Inventor： Daniel James Possee ,  Graham Baines

IPC: G01V1/30

CPC classification number: G01V1/302 ,  G01V2210/6161 ,  G01V2210/643

Abstract: A method for processing seismic data by a seismic data system. The method comprises acquiring a plurality of first traces each corresponding to a respective first trace location. The method comprises expressing the first traces as first vertices in a first graph in which first edges connect the first vertices, wherein the first edges indicate positioning of the first vertices.

公开(公告)号：US20240185119A1

公开(公告)日：2024-06-06

申请号：US18072990

申请日：2022-12-01

Applicant: Landmark Graphics Corporation

Inventor： Jean-Christophe Wrobel-Daveau ,  Graham Baines ,  Graeme Nicoll ,  Shashwat Verma ,  Mrigya Fogat

IPC: G06N20/00

CPC classification number: G06N20/00

Abstract: A system can be used to incorporate historical geological data into machine learning techniques. The system can receive historical geological data. The system can pre-process the historical geological data by applying a selected, relative-time pre-processing technique to the historical geological data with respect to time-attributed geological phenomena. The system can train a machine-learning model using the pre-processed historical geological data. The system can apply the trained machine-learning model to generate predictions of geological phenomena. The system can provide a user interface to provide a visualization of the predictions of geological phenomena.

公开(公告)号：US20230085023A1

公开(公告)日：2023-03-16

申请号：US17447604

申请日：2021-09-14

Applicant: Landmark Graphics Corporation

Inventor： Daniel James Possee ,  Yikuo Liu ,  Graham Baines

IPC: G01V1/34 ,  G01V1/28

Abstract: A least one seismic attribute is determined for each voxel of the seismic volume. A first horizon is selected for mapping and a sparse global grid is generated which includes the horizon, at least one constraint point identifying the horizon, and a number of points having a depth in the seismic volume. A value of at least one seismic attribute is determined for each point and their depths are adjusted based on the value of the seismic attribute. A map of the horizon can be generated based on the adjusted depths. Multiple local grids can be generated based on the sparse global grid, and the depths of the local grid points adjusted to generate a map of the horizon at voxel level resolution. The seismic volume can be mapped into multiple horizons, where previously mapped horizons can function as constraints on the sparse global grid.

公开(公告)号：US20230021210A1

公开(公告)日：2023-01-19

申请号：US17305861

申请日：2021-07-15

Applicant: Landmark Graphics Corporation

Inventor： Marc Paul Servais ,  Graham Baines

IPC: E21B47/04 ,  E21B47/12 ,  G06N3/08

Abstract: A method for performing wellbore correlation across multiple wellbores includes predicting a depth alignment across the wellbores based on a geological feature of the wellbores. Predicting a depth alignment includes selecting a reference wellbore, defining a control point in a reference signal of a reference well log for the reference wellbore, and generating an input tile from the reference signal, the control points, and a number of non-reference well logs corresponding to non-reference wellbores. The well logs include changes in a geological feature over a depth of a wellbore. The input tile is input into a machine-learning model to output a corresponding control point for each non-reference well log. The corresponding control point corresponds to the control point of the reference log. Based on the corresponding control points output from the machine-learning model, the non-reference well logs are aligned with the reference well log to correlate the multiple wellbores.

公开(公告)号：US11287548B2

公开(公告)日：2022-03-29

申请号：US16754356

申请日：2018-03-19

Applicant: LANDMARK GRAPHICS CORPORATION

Inventor： Daniel Stanton ,  Benjamin Stephen Saunders ,  Graeme Richard Nicoll ,  Graham Baines

IPC: G01V99/00 ,  G01N33/24

Abstract: Analysis and display of source-to-sink information according to some aspects includes grouping geochronological data associated with a sediment sample into optimized subpopulations within a reference population and target populations, and producing Gaussian functions for the reference population and the target populations using the subpopulations as a priori constraints. The Gaussian functions describe a distribution of zircons. The subpopulations within the reference population and the target populations are compared based on at least one statistical attribute from the Gaussian functions to identify areas of sediment provenance, and the areas of sediment provenance are displayed in various ways, for example, on a paleographic map as of an age of deposition of the sediment sample. A sink-to-sink analysis can also be performed to identify dissimilarities between samples.

公开(公告)号：US11269114B2

公开(公告)日：2022-03-08

申请号：US16787564

申请日：2020-02-11

Applicant: Landmark Graphics Corporation

Inventor： Graham Baines ,  Benjamin S. Saunders ,  Graeme Richard Nicoll ,  Jean-Christophe Wrobel-Daveau

IPC: G01V99/00 ,  G01V1/24 ,  G06N7/00

Abstract: The disclosed embodiments include systems and methods to assess geological data. The method includes obtaining data associated with a geological state of a geological entity. The method also includes assessing a nature of a geological age constraint of the geological entity. The method further includes generating a first probability distribution of a geological age of the geological entity based on the nature of the geological age constraint of the geological entity. The method further includes selecting a time of interest for analysis of the geological entity. The method further includes assessing a nature of the geological age constraint during the time of interest. The method further includes generating a second probability distribution for the time of interest. The method further includes determining a likelihood that the geological age constraint of the geological entity coincides with the time of interest.