WIRELESS SEISMIC SURVEY SYSTEM
    1.
    发明申请

    公开(公告)号:US20240418884A1

    公开(公告)日:2024-12-19

    申请号:US18814757

    申请日:2024-08-26

    Abstract: A system, computer-readable storage medium and method of reflection seismic survey in a wireless seismic network within a survey area is described. The method includes detecting, in each of a plurality of wireless seismic sensor nodes, seismic reflection signals from a seismic energy source; recording, in each of a plurality of wireless geophones, detected seismic signals; transmitting, by the geophones, the recorded seismic signals as digital data, using a combination of Orthogonal Frequency-Division Multiple Access (OFDMA) and Time Division Multiple Access (TDMA), to a central data receiving device; changing the seismic energy source location for seismic reflection; and repeating the detecting, recording and transmitting a number of times for each change in seismic energy source.

    APPARATUS AND METHOD FOR DEEP SEGMENTAL DENOISING NEURAL NETWORK FOR SEISMIC DATA

    公开(公告)号:US20240281651A1

    公开(公告)日:2024-08-22

    申请号:US18171551

    申请日:2023-02-20

    Inventor: Naveed IQBAL

    CPC classification number: G06N3/08

    Abstract: An apparatus, computer readable storage medium, and method for deep segmental denoising neural network for microseismic data is described. The apparatus includes a seismic data recording network with geophones each having a seismic data receiver and configured to record microseismic waves as a seismic trace received from a geological formation, a preprocessing stage and a deep neural network. The preprocessing stage transforms the recorded signal trace to a time-frequency representation as real number values. The deep neural network generates a denoised signal from the time-frequency representation. The deep neural network is trained based on a segment of noisy spectra and a clean spectra segment to learn a mapping function that generates the segment of the denoised microseismic signal.

    EVENT DETECTION AND DE-NOISING METHOD FOR PASSIVE SEISMIC DATA

    公开(公告)号:US20230251396A1

    公开(公告)日:2023-08-10

    申请号:US17667173

    申请日:2022-02-08

    CPC classification number: G01V1/288 G01V2210/123 G01V2210/324

    Abstract: An apparatus, a method, and a non-transitory computer readable medium for event detection of passive seismic data are disclosed. The apparatus includes processing circuitry extracts features from the passive seismic data based on a backbone subnetwork of a residual deep neural network. The processing circuitry generates bounding box proposals for a region of interest (ROI) in the passive seismic data based on the extracted features being input to a region proposal network of the residual deep neural network. The processing circuitry classifies the bounding box proposals into two groups. Each bounding box proposal in a first group indicates that a corresponding seismic signal presents in the ROI. Each bounding box proposal in a second group indicates that no seismic signal presents in the ROI. The processing circuitry determines at least one seismic signal in the ROI from the first group of bounding box proposals.

    OFDMA-TDMA-BASED SEISMIC DATA TRANSMISSION OVER TV WHITE SPACE

    公开(公告)号:US20230204807A1

    公开(公告)日:2023-06-29

    申请号:US17689461

    申请日:2022-03-08

    CPC classification number: G01V1/223 H04B7/2643 H04L27/2601

    Abstract: A system, computer-readable storage medium and method of reflection seismic survey in a wireless seismic network within a survey area is described. The method includes detecting, in each of a plurality of wireless seismic sensor nodes, seismic reflection signals from a seismic energy source; recording, in each of a plurality of wireless geophones, detected seismic signals; transmitting, by the geophones, the recorded seismic signals as digital data, using a combination of Orthogonal Frequency-Division Multiple Access (OFDMA) and Time Division Multiple Access (TDMA), to a central data receiving device; changing the seismic energy source location for seismic reflection; and repeating the detecting, recording and transmitting a number of times for each change in seismic energy source.

    SYSTEM AND METHOD FOR LIGHTWEIGHT IN-FIELD COMPRESSION OF SEISMIC DATA

    公开(公告)号:US20250030435A1

    公开(公告)日:2025-01-23

    申请号:US18355832

    申请日:2023-07-20

    Inventor: Naveed IQBAL

    Abstract: A system, method, and non-transitory computer readable medium for in-field seismic data compression. The system includes geophones each having a 1-bit adaptive delta modulation for converting analog seismic signals to a modulated signal and transmitting the modulated signal, and a data collection center having a 1D convolutional neural network for receiving and compressing the transmitted modulated signal. The 1D CNN is configured to suppress quantization and random noise in the modulated signal.

    Apparatus and System for Identifying Seismic Features

    公开(公告)号:US20240310543A1

    公开(公告)日:2024-09-19

    申请号:US18641972

    申请日:2024-04-22

    CPC classification number: G01V1/288 G01V2210/123 G01V2210/324

    Abstract: An apparatus, a method, and a non-transitory computer readable medium for event detection of passive seismic data are disclosed. The apparatus includes processing circuitry extracts features from the passive seismic data based on a backbone subnetwork of a residual deep neural network. The processing circuitry generates bounding box proposals for a region of interest (ROI) in the passive seismic data based on the extracted features being input to a region proposal network of the residual deep neural network. The processing circuitry classifies the bounding box proposals into two groups. Each bounding box proposal in a first group indicates that a corresponding seismic signal presents in the ROI. Each bounding box proposal in a second group indicates that no seismic signal presents in the ROI. The processing circuitry determines at least one seismic signal in the ROI from the first group of bounding box proposals.

    Computer System for Event Detection of Passive Seismic Data

    公开(公告)号:US20240310541A1

    公开(公告)日:2024-09-19

    申请号:US18641933

    申请日:2024-04-22

    CPC classification number: G01V1/288 G01V2210/123 G01V2210/324

    Abstract: An apparatus, a method, and a non-transitory computer readable medium for event detection of passive seismic data are disclosed. The apparatus includes processing circuitry extracts features from the passive seismic data based on a backbone subnetwork of a residual deep neural network. The processing circuitry generates bounding box proposals for a region of interest (ROI) in the passive seismic data based on the extracted features being input to a region proposal network of the residual deep neural network. The processing circuitry classifies the bounding box proposals into two groups. Each bounding box proposal in a first group indicates that a corresponding seismic signal presents in the ROI. Each bounding box proposal in a 10 second group indicates that no seismic signal presents in the ROI. The processing circuitry determines at least one seismic signal in the ROI from the first group of bounding box proposals.

    ADAPTIVE NOISE ESTIMATION AND REMOVAL METHOD FOR MICROSEISMIC DATA

    公开(公告)号:US20210181365A1

    公开(公告)日:2021-06-17

    申请号:US16711576

    申请日:2019-12-12

    Inventor: Naveed IQBAL Bo Liu

    Abstract: A data-driven linear filtering method to recover microseismic signals from noisy data/observations based on statistics of background noise and observation, which are directly extracted from recorded data without prior statistical knowledge of the microseismic source signal. The method does not depend on any specific underlying noise statistics and works for any type of noise, e.g., uncorrelated (random/white Gaussian), temporally correlated and spatially correlated noises. The method is suitable for microquake data sets that are recorded in contrastive noise environments. The method is demonstrated with both field and synthetic data sets and shows a robust performance.

    METHOD FOR SURVEYING WITH A WIRELESS SEISMIC NETWORK

    公开(公告)号:US20240418885A1

    公开(公告)日:2024-12-19

    申请号:US18814777

    申请日:2024-08-26

    Abstract: A system, computer-readable storage medium and method of reflection seismic survey in a wireless seismic network within a survey area is described. The method includes detecting, in each of a plurality of wireless seismic sensor nodes, seismic reflection signals from a seismic energy source; recording, in each of a plurality of wireless geophones, detected seismic signals; transmitting, by the geophones, the recorded seismic signals as digital data, using a combination of Orthogonal Frequency-Division Multiple Access (OFDMA) and Time Division Multiple Access (TDMA), to a central data receiving device; changing the seismic energy source location for seismic reflection; and repeating the detecting, recording and transmitting a number of times for each change in seismic energy source.

Patent Agency Ranking