Subsurface lithological model with machine learning

    公开(公告)号:US12007519B2

    公开(公告)日:2024-06-11

    申请号:US18167988

    申请日:2023-02-13

    CPC classification number: G01V20/00 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.

    SUBSURFACE LITHOLOGICAL MODEL WITH MACHINE LEARNING

    公开(公告)号:US20230194750A1

    公开(公告)日:2023-06-22

    申请号:US18167988

    申请日:2023-02-13

    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.

    Nuclear radiation detection
    23.
    发明授权

    公开(公告)号:US11579319B2

    公开(公告)日:2023-02-14

    申请号:US17104361

    申请日:2020-11-25

    Abstract: A nuclear radiation detector is disclosed. The detector includes a housing including therein: a scintillator; and a multi-pixel optical sensor positioned, relative to the scintillator, to receive photons emitted by the scintillator in response to interactions with nuclear radiation. The housing isolates the scintillator and the multi-pixel optical sensor from external light. The detector includes one or more processors operably connectable to the multi-pixel optical sensor; and one or more data stores coupled to the processors having instructions stored thereon which cause the processors to perform operations. The operations include: responsive to the multi-pixel optical sensor detecting photons emitted by the scintillator, receiving, from the multi-pixel optical sensor, data signals indicating 1) spatial locations of individual pixels that detected the photons and 2) temporal data indicating when the detections occurred; and generating, from the data signals, a spatially and temporally resolved image of radiation incident on the scintillator.

    SYSTEMS AND METHODS FOR TRANSCRANIAL BRAIN STIMULATION USING ULTRASOUND

    公开(公告)号:US20210393991A1

    公开(公告)日:2021-12-23

    申请号:US17350542

    申请日:2021-06-17

    Abstract: A transcranial ultrasonic stimulation headset includes a coupling system, one or more ultrasound transducers configured to generate and direct a first focused ultrasound beam at a region within a portion of a subject's brain, one or more sensors configured to measure a response from the portion of the subject's brain in response to the first focused ultrasound beam, and an electronic controller in communication with the one or more ultrasound transducers configured to dynamically adjust, based on the measured response from the portion of the subject's brain, a particular stimulation parameter for the one or more ultrasound transducers to generate and direct a second focused ultrasound beam at the region within a portion of the subject's brain.

    NUCLEAR RADIATION DETECTION
    26.
    发明申请

    公开(公告)号:US20210165118A1

    公开(公告)日:2021-06-03

    申请号:US17104361

    申请日:2020-11-25

    Abstract: A nuclear radiation detector is disclosed. The detector includes a housing including therein: a scintillator; and a multi-pixel optical sensor positioned, relative to the scintillator, to receive photons emitted by the scintillator in response to interactions with nuclear radiation. The housing isolates the scintillator and the multi-pixel optical sensor from external light. The detector includes one or more processors operably connectable to the multi-pixel optical sensor; and one or more data stores coupled to the processors having instructions stored thereon which cause the processors to perform operations. The operations include: responsive to the multi-pixel optical sensor detecting photons emitted by the scintillator, receiving, from the multi-pixel optical sensor, data signals indicating 1) spatial locations of individual pixels that detected the photons and 2) temporal data indicating when the detections occurred; and generating, from the data signals, a spatially and temporally resolved image of radiation incident on the scintillator.

    BLAST PATTERNS
    27.
    发明申请

    公开(公告)号:US20210049344A1

    公开(公告)日:2021-02-18

    申请号:US16991757

    申请日:2020-08-12

    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.

    Synthetic imaging
    28.
    发明授权

    公开(公告)号:US10009550B1

    公开(公告)日:2018-06-26

    申请号:US15388884

    申请日:2016-12-22

    CPC classification number: H04N5/265 H04N5/2224 H04N5/247

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for synthetic imaging. In one aspect, a method includes receiving from each digital camera respective imaging data, each digital camera having a viewpoint that is different from the viewpoints of each other digital camera and having a field of view that is overlapping with at least one other digital camera; for a synthetic viewpoint that is a viewpoint that is within a geometry defined by the viewpoints of the digital cameras, selecting respective imaging data that each has a field of view that overlaps a field of view of the synthetic viewpoint and generating, from the selected respective imaging data, synthetic imaging data that depicts an image captured from a virtual camera positioned at the synthetic viewpoint.

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