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公开(公告)号：US20230194750A1
公开(公告)日：2023-06-22
申请号：US18167988
申请日：2023-02-13
Applicant: X Development LLC
Inventor： Kenton Lee Prindle , Artem Goncharuk , Neil David Treat , Kevin Forsythe Smith , Thomas Peter Hunt , Karen R Davis , Allen Richard Zhao
CPC classification number: G01V99/005 , G01V1/282
Abstract: This disclosure describes a system and method for generating a subsurface model representing lithological characteristics and attributes of the subsurface of a celestial body or planet. By automatically ingesting data from many sources, a machine learning system can infer information about the characteristics of regions of the subsurface and build a model representing the subsurface rock properties. In some cases, this can provide information about a region using inferred data, where no direct measurements have been taken. Remote sensing data, such as aerial or satellite imagery, gravimetric data, magnetic field data, electromagnetic data, and other information can be readily collected or is already available at scale. Lithological attributes and characteristics present in available geoscience data can be correlated with related remote sensing data using a machine learning model, which can then infer lithological attributes and characteristics for regions where remote sensing data is available, but geoscience data is not.
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公开(公告)号：US20220136959A1
公开(公告)日：2022-05-05
申请号：US16949601
申请日：2020-11-05
Applicant: X Development LLC
Inventor： Gearoid Murphy , Diosdado Rey Banatao , Artem Goncharuk , Neil Treat
IPC: G01N21/25 , G01N21/3563 , G01N33/44 , G06N3/12
Abstract: Techniques for selecting a spectroscopic light source include obtaining a light source dataset and a spectroscopic dataset, initializing a genetic algorithm, selecting a first individual solution and a second individual solution from an initial generation of solutions, generating a new individual solution from the first and second individual solutions by combining their respective chromosome encodings, evaluating a specificity of the new individual solution to a target material, adding the new individual solution to a new generation of solutions, populating the new generation of solutions with a plurality of additional individual solutions, generating one or more descendent generations of solutions by iterating the genetic algorithm, selecting one or more implementation individual solutions exhibiting a threshold specificity to the target material, and outputting the one or more implementation individual solutions.
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公开(公告)号：US20210049344A1
公开(公告)日：2021-02-18
申请号：US16991757
申请日：2020-08-12
Applicant: X Development LLC
Inventor： Neil David Treat , Thomas Peter Hunt , Artem Goncharuk , Karen R Davis , Vikram Neal Sahney
Abstract: Techniques for improving a blast pattern at a mining site include conducting an initial blast and recording the initial blast as a high speed optical video. The high speed optical video, and the blast pattern used in the initial blast are sent as inputs to a machine learning model, which correlates one or more characteristics of the region being blasted with measurements associated with characteristics of the region being blasted obtained from the high speed optical video. The machine learning model can then determine an improved blast pattern based on the correlation made. This improved blast pattern can be displayed on a user computing device, or transmitted to a drilling system to automatically drill the improved blast pattern for subsequent blasts.
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公开(公告)号：US20250060498A1
公开(公告)日：2025-02-20
申请号：US18233584
申请日：2023-08-14
Applicant: X Development LLC
Inventor： Alex S. Miller , Robert Clapp , Aparajit Raghavan , Artem Goncharuk , Kevin Forsythe Smith
Abstract: Techniques for imaging a subterranean formation include activating an acoustic energy source that is at least partially submerged in a volume of liquid on or under a terranean surface; based on the activating, producing acoustic wave energy that travels through the volume of liquid and to a subterranean zone below the terranean surface; receiving, at one or more acoustic receivers, reflected acoustic wave energy from the subterranean zone; and generating, with a control system, data associated with the subterranean zone based on the reflected acoustic wave energy.
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公开(公告)号：US20240426609A1
公开(公告)日：2024-12-26
申请号：US18726318
申请日：2024-03-29
Applicant: X Development LLC
Inventor： Artem Goncharuk , Kevin Forsythe Smith , Alex S. Miller
Abstract: Techniques for determining a mineralogy of a portion of a drainage basin include identifying topography data associated with a drainage basin comprising at least one body of water; identifying weather data associated with the drainage basin; identifying first sensor data associated with a first water sensor installed in the drainage basin; identifying second sensor data associated with a second water sensor that is located downstream of the first water sensor in the drainage basin; providing the first sensor data, second sensor data, topography data, and weather data as input to a machine learning algorithm; and determining, by the machine learning algorithm, a mineralogy of a portion of the drainage basin.
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Patent Agency Ranking
公开(公告)号：US11835560B2
公开(公告)日：2023-12-05
申请号：US18160651
申请日：2023-01-27
Applicant: X Development LLC
Inventor： Alex S. Miller , Artem Goncharuk , Allen Richard Zhao , Kevin Forsythe Smith
IPC: H01H31/02 , G01R29/08 , G01R27/28 , G01R31/08 , G01R31/52 , G01R31/58 , G01R1/067 , H04M1/24 , H04M3/28 , H04M3/30
CPC classification number: G01R29/0842 , G01R1/06788 , G01R27/28 , G01R29/0878 , G01R31/085 , G01R31/52 , G01R31/58 , H04M1/24 , H04M3/28 , H04M3/30
Abstract: This disclosure describes a system and method for generating images by performing TEM surveys using pre-existing infrastructure such as transmission lines, or power lines, and naturally occurring transients such as lightning strikes or load switching. A relatively inexpensive sensor array can be installed on overhead power lines (e.g., electrical transmission or sub-transmission lines) which can detect transients in the overhead power lines. Transients in the overhead power lines can cause the power lines to emit pulses of electromagnetic (EM) radiation, which propagate into the earth's subsurface. This sudden change in electromagnetic field in the subsurface can induce eddy currents, which in turn emit return EM radiation that can propagate back to the overhead power line and induce secondary voltage and current transients. The magnitude of these secondary transients, and their time delay from the original transient are influenced by the properties of the subsurface in which the eddy currents formed.
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公开(公告)号：US11781972B2
公开(公告)日：2023-10-10
申请号：US16949601
申请日：2020-11-05
Applicant: X Development LLC
Inventor： Gearoid Murphy , Diosdado Rey Banatao , Artem Goncharuk , Neil Treat
IPC: G01N21/25 , G01N21/3563 , G01N33/44 , G06N3/126
CPC classification number: G01N21/255 , G01N21/3563 , G01N33/442 , G06N3/126
Abstract: Techniques for selecting a spectroscopic light source include obtaining a light source dataset and a spectroscopic dataset, initializing a genetic algorithm, selecting a first individual solution and a second individual solution from an initial generation of solutions, generating a new individual solution from the first and second individual solutions by combining their respective chromosome encodings, evaluating a specificity of the new individual solution to a target material, adding the new individual solution to a new generation of solutions, populating the new generation of solutions with a plurality of additional individual solutions, generating one or more descendent generations of solutions by iterating the genetic algorithm, selecting one or more implementation individual solutions exhibiting a threshold specificity to the target material, and outputting the one or more implementation individual solutions.
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公开(公告)号：US11774614B2
公开(公告)日：2023-10-03
申请号：US17374320
申请日：2021-07-13
Applicant: X Development LLC
Inventor： Allen Richard Zhao , Kenton Lee Prindle , Kevin Forsythe Smith , Artem Goncharuk
CPC classification number: G01V1/30 , G01V1/18 , G01V2210/121 , G01V2210/1295 , G01V2210/1425 , G01V2210/66
Abstract: This disclosure describes a system and method for generating images and location data of a subsurface object using existing infrastructure as a source. Many infrastructure objects (e.g., pipes, cables, conduits, wells, foundation structures) are constructed of rigid materials and have a known shape and location. Additionally these infrastructure objects can have exposed portions that are above or near the surface and readily accessible. A signal generator can be affixed to the exposed portion of the infrastructure object, which induces acoustic energy, or vibrations in the object. The object with affixed signal generator can then be used as a source in performing a subsurface imaging of subsurface objects, which are not exposed.
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公开(公告)号：US11592594B2
公开(公告)日：2023-02-28
申请号：US17229391
申请日：2021-04-13
Applicant: X Development LLC
Inventor： Kenton Lee Prindle , Artem Goncharuk , Neil David Treat , Kevin Forsythe Smith , Thomas Peter Hunt , Karen R Davis , Allen Richard Zhao
Abstract: This disclosure describes a system and method for generating a subsurface model representing lithological characteristics and attributes of the subsurface of a celestial body or planet. By automatically ingesting data from many sources, a machine learning system can infer information about the characteristics of regions of the subsurface and build a model representing the subsurface rock properties. In some cases, this can provide information about a region using inferred data, where no direct measurements have been taken. Remote sensing data, such as aerial or satellite imagery, gravimetric data, magnetic field data, electromagnetic data, and other information can be readily collected or is already available at scale. Lithological attributes and characteristics present in available geoscience data can be correlated with related remote sensing data using a machine learning model, which can then infer lithological attributes and characteristics for regions where remote sensing data is available, but geoscience data is not.
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公开(公告)号：US11475659B2
公开(公告)日：2022-10-18
申请号：US16991757
申请日：2020-08-12
Applicant: X Development LLC
Inventor： Neil David Treat , Thomas Peter Hunt , Artem Goncharuk , Karen R Davis , Vikram Neal Sahney
Abstract: Techniques for improving a blast pattern at a mining site include conducting an initial blast and recording the initial blast as a high speed optical video. The high speed optical video, and the blast pattern used in the initial blast are sent as inputs to a machine learning model, which correlates one or more characteristics of the region being blasted with measurements associated with characteristics of the region being blasted obtained from the high speed optical video. The machine learning model can then determine an improved blast pattern based on the correlation made. This improved blast pattern can be displayed on a user computing device, or transmitted to a drilling system to automatically drill the improved blast pattern for subsequent blasts.
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