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1.发明申请公开(公告)号：US20240418887A1
公开(公告)日：2024-12-19
申请号：US18335524
申请日：2023-06-15
Applicant: Landmark Graphics Corporation
Inventor： Jean-Christophe Wrobel-Daveau , Andrew Davies
IPC: G01V1/28
Abstract: A method comprises obtaining geology data of a subsurface formation and generating a subsurface model of the subsurface formation, the subsurface model including one or more age-attributed geometries of a first age scheme. The method comprises obtaining a first contextual information dataset of a target age scheme and converting each of the one or more age-attributed geometries to a target age-attributed geometry based on the target age scheme. The method comprises integrating the first contextual information dataset into the subsurface model, via the one or more target age-attributed geometries, to generate a context volume. The method comprises performing a subsurface operation based on the context volume.
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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.
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公开(公告)号：US11762888B2
公开(公告)日：2023-09-19
申请号：US17123908
申请日：2020-12-16
Applicant: Landmark Graphics Corporation
Inventor： Andrew Davies , Mike Derek Simmons , Michael Charles Quintrell Treloar , James Iain Scotchman , Owen Edward Sutcliffe
CPC classification number: G06F16/29 , G01V99/005 , G06T17/05
Abstract: A system is described for determining an analogue geological feature. The system may include a processor and a non-transitory computer-readable medium comprising instructions that are executable by the processor to cause the processor to perform various operations. The system may generate, by extracting parameter signatures for geological features, a database including parameters about geological features associated with parameter signatures. The system may receive data including parameters and a feature-type about a geological feature of interest. The system may generate a signature including values for a subset of the feature-of-interest parameters selected based on the geological feature of interest for the feature-of-interest using the data. The system may execute a comparison of the feature signature to the parameter signatures included in the database for identifying an analogue geological feature for the feature of interest. The system may output a subset of parameters for the analogue for use in subterranean exploration.
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公开(公告)号：US20250111106A1
公开(公告)日：2025-04-03
申请号：US18477792
申请日：2023-09-29
Applicant: Landmark Graphics Corporation
Inventor： Mrigya Fogat , Estanislao Nicolás Kozlowski , Soumili Das , Shreshth Srivastav , Andrew Davies , Geetha Nair
IPC: G06F30/27
Abstract: In general, in one aspect, embodiments relate to a method that includes selecting one or more stratigraphic forward models from a digital analogue library, generating one or more k-layers based at least in part on the one or more selected stratigraphic forward models and one or more generative machine learning models, and predicting thicknesses of one or more geological properties based at least in part on the one or more k-layers.
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公开(公告)号：US20230265750A1
公开(公告)日：2023-08-24
申请号：US17679996
申请日：2022-02-24
Applicant: Landmark Graphics Corporation
Inventor： Andrew Davies , Michael Simmons , Lawrence Cowliff , Estanislao Nicolás Kozlowski
IPC: E21B43/25 , E21B47/003 , E21B43/16
CPC classification number: E21B43/25 , E21B47/003 , E21B43/16
Abstract: A system can determine a heterogeneity and a score for a reservoir for optimizing a drilling location. The system can receive a wireline log associated with a well that is positioned in a subterranean formation that includes a reservoir. The system can determine, using the wireline log, at least one statistical parameter for an interval of the well. The system can determine, using the at least one statistical parameter, a vertical heterogeneity of the reservoir. The system can determine, using the vertical heterogeneity, a score associated with the reservoir. The score can indicate an extraction difficulty and a carbon intensity of the reservoir. The system can output the score for optimizing a drilling location.
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Patent Agency Ranking
公开(公告)号：US12141506B2
公开(公告)日：2024-11-12
申请号：US16795279
申请日：2020-02-19
Applicant: Landmark Graphics Corporation
Inventor： Andrew Davies , Benjamin Yves Gréselle
IPC: G06F30/20 , G06F18/2135 , G06F30/27 , G06N20/00 , G16Y20/10
Abstract: A non-transitory computer readable medium includes a set of instructions that in operation cause a processor to determine at least one modelled parameter of a feature of interest in petroleum exploration. The instructions also cause a processor to assign a likelihood value to each modelled parameter of the at least one modelled parameter and to generate an initial chance map for each modelled parameter of the at least one modelled parameter. Further, the instructions cause a processor to assign a weighting factor for each modelled parameter of the at least one modelled parameter, and to combine the initial chance maps using the weighting factor for each modelled parameter of the at least one modelled parameter to generate a first simulation chance map.
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公开(公告)号：US12118477B2
公开(公告)日：2024-10-15
申请号：US16881166
申请日：2020-05-22
Applicant: Landmark Graphics Corporation
Inventor： Andrew Davies , Elizabeth Atar , Masoud Ghaderi Zefreh , Graham Baines , Benjamin Greselle
Abstract: A system includes a processor and a memory. The memory includes instructions that are executable by the processor to access training data of a modern feature of interest from direct observations, remotely determined data, or a combination thereof. The instructions are also executable to compile parameter data from at least one model simulation that impacts the modern feature of interest. The instructions are executable to train a machine-learning model to generate a predictive model that matches the training data of the modern feature of interest using the compiled parameter data as input. Furthermore, the instructions are executable to predict a feature of interest in a past time period using the predictive model and at least one historical model simulation that impacts the feature of interest. Additionally, the instructions are executable to execute a processing operation for facilitating hydrocarbon exploration based on the predicted feature of interest from the predictive model.
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公开(公告)号：US11249219B2
公开(公告)日：2022-02-15
申请号：US16340491
申请日：2016-12-29
Applicant: Landmark Graphics Corporation
Inventor： Elham Mohsenian , Andrew Davies , Afshin Fathi Mobarakabad
Abstract: A method, a tool, and a system for modeling sediment surface paleo-temperature are provided. The method includes: determining a latitudinal temperature gradient of a location for a time period in the geologic past based on a depositional environment of the location during the time period; determining a surface temperature of the location during the time period using the latitudinal temperature gradient and a latitude of the location during the time period; and modifying the surface temperature at the location during the time period based on an altitude of the location during the time period.
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公开(公告)号：US20210365808A1
公开(公告)日：2021-11-25
申请号：US16881166
申请日：2020-05-22
Applicant: Landmark Graphics Corporation
Inventor： Andrew Davies , Elizabeth Atar , Masoud Ghaderi Zefreh , Graham Baines , Benjamin Greselle
Abstract: A system includes a processor and a memory. The memory includes instructions that are executable by the processor to access training data of a modern feature of interest from direct observations, remotely determined data, or a combination thereof. The instructions are also executable to compile parameter data from at least one model simulation that impacts the modern feature of interest. The instructions are executable to train a machine-learning model to generate a predictive model that matches the training data of the modern feature of interest using the compiled parameter data as input. Furthermore, the instructions are executable to predict a feature of interest in a past time period using the predictive model and at least one historical model simulation that impacts the feature of interest. Additionally, the instructions are executable to execute a processing operation for facilitating hydrocarbon exploration based on the predicted feature of interest from the predictive model.
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公开(公告)号：US11905809B2
公开(公告)日：2024-02-20
申请号：US17679996
申请日：2022-02-24
Applicant: Landmark Graphics Corporation
Inventor： Andrew Davies , Michael Simmons , Lawrence Cowliff , Estanislao Nicolás Kozlowski
IPC: E21B43/25 , E21B43/16 , E21B47/003 , E21B47/0224 , E21B49/00
CPC classification number: E21B43/25 , E21B43/16 , E21B47/003
Abstract: A system can determine a heterogeneity and a score for a reservoir for optimizing a drilling location. The system can receive a wireline log associated with a well that is positioned in a subterranean formation that includes a reservoir. The system can determine, using the wireline log, at least one statistical parameter for an interval of the well. The system can determine, using the at least one statistical parameter, a vertical heterogeneity of the reservoir. The system can determine, using the vertical heterogeneity, a score associated with the reservoir. The score can indicate an extraction difficulty and a carbon intensity of the reservoir. The system can output the score for optimizing a drilling location.
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