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公开(公告)号：US20230408717A1
公开(公告)日：2023-12-21
申请号：US18459153
申请日：2023-08-31
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：US20230020861A1
公开(公告)日：2023-01-19
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
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：US11487522B1
公开(公告)日：2022-11-01
申请号：US17318687
申请日：2021-05-12
Applicant: X Development LLC
Inventor： Rishabh Singh , Nisarg Vyas , Jayendra Parmar , Dhara Kotecha , Artem Goncharuk , David Andre
Abstract: Training and/or utilization of a neural decompiler that can be used to generate, from a lower-level compiled representation, a target source code snippet in a target programming language. In some implementations, the lower-level compiled representation is generated by compiling a base source code snippet that is in a base programming language, thereby enabling translation of the base programming language (e.g., C++) to a target programming language (e.g., Python). In some of those implementations, output(s) from the neural decompiler indicate canonical representation(s) of variables. Technique(s) can be used to match those canonical representation(s) to variable(s) of the base source code snippet. In some implementations, multiple candidate target source code snippets are generated using the neural decompiler, and a subset (e.g., one) is selected based on evaluation(s).
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公开(公告)号：US11351576B2
公开(公告)日：2022-06-07
申请号：US16892861
申请日：2020-06-04
Applicant: X Development LLC
Inventor： Thomas Peter Hunt , Neil David Treat , Karen R Davis , Artem Goncharuk , Vikram Neal Sahney
IPC: B07C5/34 , B07C5/342 , B07C5/344 , B07C5/346 , G01N23/20091 , G01N23/223 , G01N23/207 , G01N33/24 , G06N3/08 , G06V10/42 , G06V20/00
Abstract: Techniques for processing ore include the steps of causing an imaging capture system to record a plurality of images of a stream of ore fragments en route from a first location in an ore processing facility to a second location in the ore processing facility; correlating the plurality of images of the stream of ore fragments with at least one or more characteristics of the ore fragments using a machine learning model that includes a plurality of ore parameter measurements associated with the one or more characteristics of the ore fragments; determining, based on the correlation, at least one of the one or more characteristics of the ore fragments; and generating, for display on a user computing device, data indicating the one or more characteristics of the ore fragments or data indicating an action or decision based on the one or more characteristics of the ore fragments.
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公开(公告)号：US20210318465A1
公开(公告)日：2021-10-14
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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Patent Agency Ranking
公开(公告)号：US12270649B2
公开(公告)日：2025-04-08
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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公开(公告)号：US12038321B2
公开(公告)日：2024-07-16
申请号：US18048127
申请日：2022-10-20
Applicant: X Development LLC
Inventor： Artem Goncharuk , Kevin Forsythe Smith , Valey Kamalov , Mattia Cantono , Rafael Muller
Abstract: Systems and methods for detecting a mechanical disturbance are disclosed. One of the method may comprise the operation steps including: transmitting, by a transmitter, a pulse at a preset frequency along a first cable; receiving, by a receiver, a plurality of signals, wherein each of the plurality of signals travels along the first cable and a second cable connected to the receiver for a corresponding span; calculating one or more differential phases, wherein each differential phase is calculated based on respective phases and the corresponding spans of two of the plurality of signals; and determining a localization of the mechanical disturbance based on the one or more differential phases.
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公开(公告)号：US12007519B2
公开(公告)日：2024-06-11
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
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：US20240184003A1
公开(公告)日：2024-06-06
申请号：US18528036
申请日：2023-12-04
Applicant: X Development LLC
Inventor： Alex S. Miller , Artem Goncharuk , Kevin Forsythe Smith
CPC classification number: G01V1/133 , G01V1/226 , G01V1/301 , G01V2210/1299
Abstract: This disclosure describes a system and method for generating subsurface image data by inducing a first acoustic energy in a fluid contained within a pipe network at a predetermined location. The acoustic energy propagates through the pipe network and into a subsurface in which the pipe network is contained and is then recorded using an array of transducers. The recorded acoustic energy is provided as input to a machine learning algorithm to generate image data associated with the subsurface, which is used to generate a subsurface model for presentation in a graphical user interface.
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公开(公告)号：US20230243880A1
公开(公告)日：2023-08-03
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
CPC classification number: G01R29/0842 , G01R31/085 , G01R27/28 , G01R29/0878
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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