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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
申请人： X Development LLC
CPC分类号： G01V1/30 , G01V1/18 , G01V2210/121 , G01V2210/1295 , G01V2210/1425 , G01V2210/66
摘要： 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
申请人： X Development LLC
摘要： 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
申请人： X Development LLC
发明人： Rishabh Singh , Nisarg Vyas , Jayendra Parmar , Dhara Kotecha , Artem Goncharuk , David Andre
摘要： 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
申请人： X Development LLC
IPC分类号： B07C5/34 , B07C5/342 , B07C5/344 , B07C5/346 , G01N23/20091 , G01N23/223 , G01N23/207 , G01N33/24 , G06N3/08 , G06V10/42 , G06V20/00
摘要： 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
申请人： X Development LLC
发明人： Kenton Lee Prindle , Artem Goncharuk , Neil David Treat , Kevin Forsythe Smith , Thomas Peter Hunt , Karen R. Davis , Allen Richard Zhao
摘要： 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：US11835560B2
公开(公告)日：2023-12-05
申请号：US18160651
申请日：2023-01-27
申请人： X Development LLC
IPC分类号： H01H31/02 , G01R29/08 , G01R27/28 , G01R31/08 , G01R31/52 , G01R31/58 , G01R1/067 , H04M1/24 , H04M3/28 , H04M3/30
CPC分类号： G01R29/0842 , G01R1/06788 , G01R27/28 , G01R29/0878 , G01R31/085 , G01R31/52 , G01R31/58 , H04M1/24 , H04M3/28 , H04M3/30
摘要： 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
申请人： X Development LLC
IPC分类号： G01N21/25 , G01N21/3563 , G01N33/44 , G06N3/126
CPC分类号： G01N21/255 , G01N21/3563 , G01N33/442 , G06N3/126
摘要： 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
申请人： X Development LLC
CPC分类号： G01V1/30 , G01V1/18 , G01V2210/121 , G01V2210/1295 , G01V2210/1425 , G01V2210/66
摘要： 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
申请人： X Development LLC
发明人： Kenton Lee Prindle , Artem Goncharuk , Neil David Treat , Kevin Forsythe Smith , Thomas Peter Hunt , Karen R Davis , Allen Richard Zhao
摘要： 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
申请人： X Development LLC
摘要： 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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