Patents Examined by Mischita L Henson
  • Patent number: 11409011
    Abstract: A computer-implemented method for obtaining reconstructed seismic data for determining a subsurface feature, includes: determining an initial training velocity model, training a machine learning model based on first training seismic data and second training seismic data generated from the training velocity model, the first training seismic data corresponding to one or more first frequencies, the second training seismic data corresponding to one or more second frequencies lower than the one or more first frequencies, obtaining, based on measured seismic data and the machine learning model, reconstructed seismic data corresponding to the one or more second frequencies, generating a velocity model based on the measured seismic data, the reconstructed seismic data, and a full waveform inversion (FWI), and when the generated velocity model does not satisfy a preset condition, updating the training velocity model based on the generated velocity model, to obtain updated reconstructed seismic data for determining a s
    Type: Grant
    Filed: July 8, 2020
    Date of Patent: August 9, 2022
    Assignee: Advanced Geophysical Technology Inc.
    Inventor: Wenyi Hu
  • Patent number: 11402403
    Abstract: A vehicle detection method includes using a first sensor and a second sensor coupled to a structure to detect vibrations generated by one or more vehicles that have passed over the structure. Based on the vibrations detected by the first sensor, a first plurality of peaks are extracted, and based on the vibrations detected by the second sensor, a second plurality of peaks are extracted. Each of the first plurality of peaks and the second plurality of peaks corresponds to an axle of the one or more vehicles. The first plurality of peaks and the second plurality of peaks are then computed to determine a number of vehicles that have passed over the structure.
    Type: Grant
    Filed: December 11, 2019
    Date of Patent: August 2, 2022
    Assignee: Seiko Epson Corporation
    Inventors: Chitoshi Miki, Hidehiko Sekiya, Keishi Omori
  • Patent number: 11397279
    Abstract: Well information may define subsurface configuration of different wells. Marker information defining marker positions within the wells may be obtained. A dissimilarity matrix for the wells may generated, with the element values of the dissimilarity matrix determined based on comparison of corresponding subsurface configuration of the wells. A gated dissimilarity matrix may be generated from the dissimilarity matrix based on the marker positions within the wells. The elements values of the gated dissimilarity matrix corresponding to one set of marker positions and not corresponding to the other set of marker positions may be changed. Correlation between the wells may be determined based on the gated dissimilarity matrix such that correlation exists between a marker position in one well and a marker position in another well.
    Type: Grant
    Filed: March 27, 2020
    Date of Patent: July 26, 2022
    Assignee: Chevron U.S.A. Inc.
    Inventors: Brett M. Hern, Tao Sun, Brian J. Willis, Fabien J. Laugier, Ashley D. Harris
  • Patent number: 11392114
    Abstract: An abnormality determination support apparatus includes an analysis object data preparation unit, a primary determination unit, and a secondary determination unit. The analysis object data preparation unit acquires a time-series signal representing at least one of a state of the manufacturing facility and a product quality from a data collection apparatus of the manufacturing facility, and extracts analysis object data from the time-series signal. The primary determination unit derives a plurality of primary determination results from common analysis object data by applying a plurality of different types of analysis methods to the analysis object data extracted by the analysis object data preparation unit. The secondary determination unit includes a machine learning device.
    Type: Grant
    Filed: March 26, 2019
    Date of Patent: July 19, 2022
    Assignee: TOSHIBA MITSUBISHI-ELECTRIC INDUSTRIAL SYSTEMS CORPORATION
    Inventors: Hiroyuki Imanari, Naoki Shimoda
  • Patent number: 11391855
    Abstract: Systems and methods develop a three-dimensional model of a subterranean formation based on vertical seismic profiles at a plurality of well locations.
    Type: Grant
    Filed: March 13, 2020
    Date of Patent: July 19, 2022
    Assignee: Saudi Arabian Oil Company
    Inventors: Husain Salman Nasser, Ali Ahmed Shaikh Sulaiman
  • Patent number: 11391856
    Abstract: Implementations of the present disclosure provide techniques for stochastic stratigraphic correlation that produce quantitative estimation of uncertainty by generating multiple viable correlations. In contrast to deterministic models where the output of the model is fully determined by the parameter values and the initial conditions, stochastic models possess some inherent randomness. Using stochastic models, the same set of parameter values and initial conditions will lead to an ensemble of different outputs. The described techniques include introducing probabilistic sampling into dynamic time warping processes. In some implementations, the techniques allow for a user to interactively update correlation markers and their associated uncertainties. The techniques can adhere to these markers and produce multiple viable solutions.
    Type: Grant
    Filed: July 8, 2020
    Date of Patent: July 19, 2022
    Assignee: Saudi Arabian Oil Company
    Inventor: Mustafa A. Al Ibrahim
  • Patent number: 11377946
    Abstract: The disclosed embodiments include systems and methods to image a borehole. In one embodiment, a borehole imaging system having a borehole imaging tool and a processor is provided. The borehole imaging tool includes a magnetic field source and an array of electrode buttons. The borehole imaging tool also includes a galvanic source operable to inject an electrical current through one or more electrode buttons of the array of electrode buttons into the formation. The processor is operable to determine a differential voltage between at least two electrode buttons of the array of the electrode buttons, and determine the current through the one or more electrode buttons. The processor is also operable to determine a magnetic susceptibility and a resistivity of the formation based on the differential voltage and the current, respectively, and construct a visual representation of the formation based on the resistivity and the magnetic susceptibility of the formation.
    Type: Grant
    Filed: March 13, 2018
    Date of Patent: July 5, 2022
    Assignee: Halliburton Energy Services, Inc.
    Inventors: Burkay Donderici, Wei-Bin Ewe, Ahmed E. Fouda
  • Patent number: 11378944
    Abstract: A system analysis method includes: acquiring history information indicating, based on sensor values outputted by sensors, whether one of sensor values outputted by respective sensors indicates abnormality and/or whether individual relationship between sensor values outputted by different sensors indicates abnormality in time-series manner; estimating a change point group of change points, each indicating a time point system state has changed, based on history information; estimating relevance levels, each indicating relevance to the system state between two arbitrary time points included in the change point group; generating groups of change point groups by classifying the change point group into a plurality of groups based on the history information and the relevance levels; and generating and outputting output information, as information relating abnormality per group of the change point groups.
    Type: Grant
    Filed: October 10, 2017
    Date of Patent: July 5, 2022
    Assignee: NEC CORPORATION
    Inventor: Masanao Natsumeda
  • Patent number: 11360235
    Abstract: A modeling method is provided. The modeling method includes: extracting multiple pieces of logging data corresponding to a plurality of logging characteristic parameters at different drilling depths of a sample well, based on a logging information of the sample well; marking the different drilling depths based on a lost circulation information of the sample well to distinguish lost circulation points and non-lost circulation points; and classifying the lost circulation points and the non-lost circulation points by adopting a random forest algorithm, based on the plurality of logging characteristic parameters and the multiple pieces of marked logging data at the different drilling depths, to establish a plurality of corresponding relations between the logging characteristic parameters and a lost circulation or non-lost circulation result, so as to obtain a diagnosis model.
    Type: Grant
    Filed: August 2, 2019
    Date of Patent: June 14, 2022
    Assignee: China University of Petroleum (Beijing)
    Inventors: Yunhu Lu, Yan Jin, Mian Chen, Zejun Li, Hanqing Wang, Yang Xia, Zhou Zhou, Bing Hou, Botao Lin, Xuyang Guo
  • Patent number: 11353554
    Abstract: Systems and methods are provided for impervious surface mapping of a target geographic area. The impervious surface mapping utilizes four-band imagery data and light detection and ranging (LIDAR) data collected from the target geographic area. The identified impervious surfaces can be attributed to parcels within the target geographic area for purposes of generating bills for storm water runoff to parcel owners.
    Type: Grant
    Filed: January 25, 2021
    Date of Patent: June 7, 2022
    Assignee: Woolpert, Inc.
    Inventor: Daniel K. Ngoroi
  • Patent number: 11341684
    Abstract: The disclosure provides for a method of calibrating a detection system that is mounted on a vehicle. The method includes detecting characteristics of the mirror and characteristics of a vehicle portion using the detection system. The mirror reflects the vehicle portion to be detected using the detection system. The method also includes determining a first transform based on the detected one or more of mirror characteristics, determining a second transform based on the one or more vehicle portion characteristics, and determining a third transform based on a known position of the vehicle portion in relation to the vehicle. Further, the method includes determining a position of the detection system relative to the vehicle based on the first, second, and third transforms and then calibrating the detection system using the determined position of the detection system relative to the vehicle.
    Type: Grant
    Filed: February 1, 2021
    Date of Patent: May 24, 2022
    Assignee: Waymo LLC
    Inventors: Craig Lewin Robinson, Volker Grabe, Colin Braley, Zachary Morriss, Stephanie McArthur, Andrew Crawford
  • Patent number: 11333498
    Abstract: A method for compensating a magnetic heading includes one or more of obtaining a magnetic heading from a magnetic instrument deployed with an apparatus, determining location data for the apparatus, determining local field data based on the location data, obtaining a magnetic profile for the magnetic instrument deployed with the apparatus, and compensating the magnetic heading based the magnetic profile. For example, the magnetic profile may be responsive to perturbation of the local geomagnetic field by the apparatus, so that the compensated heading is more responsive to a directional heading of the apparatus, when deployed in the geomagnetic field. An apparatus for performing the method is also described, along with another method for calibrating the magnetic instrument when deployed with the apparatus, in order to generate the magnetic profile.
    Type: Grant
    Filed: January 11, 2020
    Date of Patent: May 17, 2022
    Assignee: ION Geophysical Corporation
    Inventor: Adam P. Jackson
  • Patent number: 11327475
    Abstract: An apparatus, methods and systems for a monitoring system for data collection in a vehicle are disclosed. The system can include a data acquisition circuit structured to interpret a plurality of detection values, each of the plurality of detection values corresponding to input received from at least one of a plurality of input sensors, each of the plurality of input sensors operatively coupled to at least one of a plurality of components of the vehicle, a data analysis circuit structured to determine a state value, wherein the data analysis circuit includes a pattern recognition circuit structured to determine the state value by analyzing a subset of the plurality of detection values and at least one external detection value using at least one of a neural net or an expert system, and an analysis response circuit structured to adjust a parameter of the vehicle in response to the state value.
    Type: Grant
    Filed: September 26, 2018
    Date of Patent: May 10, 2022
    Assignee: Strong Force IoT Portfolio 2016, LLC
    Inventors: Charles Howard Cella, Gerald William Duffy, Jr., Jeffrey P. McGuckin, Mehul Desai
  • Patent number: 11327476
    Abstract: A computer implemented method includes turning off a sensor, receiving fall curve data from the sensor, and comparing the received fall curve data to a set of fall curve signatures to identify the sensor or a sensor fault.
    Type: Grant
    Filed: November 13, 2018
    Date of Patent: May 10, 2022
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Tusher Chakraborty, Akshay Uttama Nambi Srirangam Narashiman, Ranveer Chandra, Rahul Anand Sharma, Manohar Swaminathan, Zerina Kapetanovic, Jonathan Appavoo
  • Patent number: 11327187
    Abstract: Seismic acquisition having high geophone densities is compressed based on Functional Quantization (FQ) for an infinite dimensional space. Using FQ, the entire sample path of the seismic waveform in a target function space is quantized. An efficient solution for the construction of a functional quantizer is given. It is based on Monte-Carlo simulation to circumvent the limitations of high dimensionality and avoids explicit construction of Voronoi regions to tessellate the function space of interest. The FQ architecture is then augmented with three different Vector Quantization (VQ) techniques which yield hybridized FQ strategies of 1) FQ-Classified VQ, 2) FQ-Residual/Multistage VQ and 3) FQ-Recursive VQ. Joint quantizers are obtained by replacing regular VQ codebooks in these hybrid quantizers by their FQ equivalents. Simulation results show that the FQ combined with any one of the different VQ techniques yields improved rate-distortion compared to either FQ or VQ techniques alone.
    Type: Grant
    Filed: March 26, 2019
    Date of Patent: May 10, 2022
    Assignee: King Fahd University of Petroleum and Minerals
    Inventors: Hamood Khan, Salam A. Zummo
  • Patent number: 11326407
    Abstract: Effective prediction of downhole mixing and channeling at an interface between two or more wellbore fluids may prevent the unnecessary consumption of resources at a well site and enhance the performance of wellbore operations, including drilling operations, completion operations, and reservoir management. A model for a length and a volume of the interface between two wellbore fluids may be used to characterize the amount of mixing and channeling. The model may use known properties of the wellbore fluids before mixing and channeling occurs. The model may account for eccentricity in an annulus of the wellbore by partitioning a three dimensional flow profile in the wellbore into a plurality of segments for separate analysis. Outputs from the model may be used to determine one or more locations of the interface at one or more intervals of time as the wellbore fluids circulate through the wellbore.
    Type: Grant
    Filed: December 31, 2018
    Date of Patent: May 10, 2022
    Assignee: Halliburton Energy Services, Inc.
    Inventors: Vitor Lopes Pereira, Dale E. Jamison
  • Patent number: 11314242
    Abstract: An example method can comprise creating a non-linear neural network based model of a system based on historical operational data of the system and receiving first sensor data from a plurality of sensors associated with the system. Predicted next sensor data can be determined based on the received first sensor data and the non-linear network model. Second sensor data can be received from the plurality of sensors, and a measure of deviation between the predicted next sensor data and the received second sensor data is calculated. In response to the measured deviation exceeding a predefined threshold; it can be determined that a fault has occurred.
    Type: Grant
    Filed: January 15, 2020
    Date of Patent: April 26, 2022
    Assignee: ExxonMobil Research and Engineering Company
    Inventors: Weike Sun, Antonio R. Paiva, Peng Xu
  • Patent number: 11307254
    Abstract: A system of predicting a failure rate of a contactor before the generation of a failure by counting a lifespan index of the contactor based on normality of through-currents of a primary side and a secondary side of the contactor, and determining that a failure rate of the contactor increases when a count value for an abnormal through-current exceeds a predetermined threshold value.
    Type: Grant
    Filed: September 28, 2018
    Date of Patent: April 19, 2022
    Assignee: LG ENERGY SOLUTION, LTD.
    Inventors: Hyunki Cho, Chang Hyun Sung, Sang Hoon Lee, Yean Sik Choi
  • Patent number: 11307565
    Abstract: Systems and methods for data collection and detection of motor noise patterns are disclosed. A system may include a data collector communicatively coupled to at least one input channel, wherein the at least one input channel is operatively coupled to a vibration detection facility structured to detect a motor noise pattern of a motor, a library to store the detected motor noise pattern, an interface circuit structured to make the detected motor noise pattern available to a motor noise pattern data marketplace including a plurality of motor noise patterns from a plurality of motors, and a user interface for accessing at least one of the plurality of motor noise patterns of the motor noise pattern marketplace.
    Type: Grant
    Filed: December 21, 2018
    Date of Patent: April 19, 2022
    Assignee: Strong Force IoT Portfolio 2016, LLC
    Inventors: Charles Howard Cella, Gerald William Duffy, Jr., Jeffrey P. McGuckin, Mehul Desai
  • Patent number: 11287259
    Abstract: A method for the determination of heading by magnetic sensors, in which a magnetic field is measured by magnetometers and using recursive processing calculating for a given sampling time. An estimation of a heading prediction which is a function of the heading is determined at the preceding sampling time. A resetting of the predicted heading is then estimated as a function of a magnetic heading determined from magnetometer measurements. During the resetting, the calculating estimates the amplitude of the resetting as a function of a model of the change in magnetic disturbances between two sampling times, and of an a priori estimation of the amplitude of the disturbances.
    Type: Grant
    Filed: July 27, 2018
    Date of Patent: March 29, 2022
    Assignee: SYSNAV
    Inventors: David Vissiere, Charles-Ivan Chesneau, Mathieu Hillion, Christophe Prieur