Abstract: Systems and methods for interpreting and visualizing multi-Z horizons from seismic data are disclosed. A two-dimensional (2D) representation of seismic data is displayed via a graphical user interface (GUI). User input is received via the GUI for interpreting a multi-Z horizon within a portion of the displayed 2D representation. The user's input is tracked relative to displayed 2D representation within the GUI. Based on the tracking, each of a plurality of surfaces for the multi-Z horizon is determined. At least one intersection point between the multi-Z horizon surfaces is identified. A depth position for each surface relative to other surfaces is determined. The 2D representation of the seismic data is dynamically updated to include visual indications for the plurality of surfaces and the intersection point(s), based on the depth position of each surface, where the visual indications use different visualization styles to represent the surfaces and intersection point(s).

Abstract: Hydrocarbon exploration and extraction can be facilitated using machine-learning models. For example, a system described herein can receive seismic data indicating locations of geological bodies in a target area of a subterranean formation. The system can provide the seismic data as input to a trained machine-learning model for determining whether the target area of the subterranean formation includes one or more types of geological bodies. The system can receive an output from the trained machine-learning model indicating whether or not the target area of the subterranean formation includes the one or more types of geological bodies. The system can then execute one or more processing operations for facilitating hydrocarbon exploration or extraction based on the seismic data and the output from the trained machine-learning model.

Abstract: The processing device includes: a temperature transition acquisition unit that acquires rising transition of the temperature of the winding in a state in which a first voltage is applied in order to raise a temperature of the winding to a first temperature and further acquires falling transition of the temperature of the winding in a state in which a second voltage is applied in order to lower the temperature of the winding to a second temperature that is lower than the first temperature after the temperature of the winding converges to the first temperature; and a decision unit that calculates stator-related parameters on the basis of the falling transition to decide a stator temperature characteristic mode and further calculates winding-related parameters on the basis of the rising transition and a stator temperature characteristic model to decide a winding temperature characteristic model.

Abstract: Methods, systems, and computer programs encoded on computer storage medium, for identifying, for a power source, a lookup table (LUT) that includes, for each condition of the power source, i) a maximum power (p-max) of the power source for the condition and ii) a sustained power (p-sus) of the power source for the condition; examining the LUT to define calibration triggers associated with the conditions; identifying an event that satisfies a particular calibration trigger of the calibration triggers; in response to identifying the event, creating a workload for the power source; in response to the workload, determining for a particular condition associated with the particular calibration trigger, an updated p-max value for the particular condition and an updated p-sus value of the power source for the particular condition; and updating the LUT, for the particular condition, based on the updated p-max value and the updated p-sus value.

Abstract: Disclosed examples include methods and systems to measure fluid flow, including a transmit circuit to provide a transducer transmit signal based on a transmit pulse signal, a receive circuit to receive a transducer receive signal, an ADC to sample a receive signal from the receive circuit and provide a sampled signal, and a processing circuit that computes a transit time based on the sampled signal, and provides the transmit pulse signal including a first portion with a frequency in a first frequency band, and a second portion with a second frequency outside the first frequency band to mitigate undesired transducer vibration, where the second frequency is outside a transducer frequency bandwidth of the transducer.

Abstract: A method for creating a measurement protocol in a computer, such as the measurement computer of a coordinate-measuring machine or a computer remote therefrom, includes: providing data necessary for creating a measurement protocol generated on the basis of a measurement sequence by the coordinate-measuring machine; providing specification data specifying predefined conditions under which a measurement sequence should be performed and/or specifying predefined conditions under which examination features should be evaluated; checking the data necessary for creating a measurement protocol as to whether the predefined conditions under which the entire measurement sequence should be performed were met and/or as to whether the predefined conditions under which individual examination features to be examined should be evaluated were met; and, creating a measurement protocol in the form of an electronic document, in which compliance and/or non-compliance with the conditions in accordance with the specification data is d

Abstract: A method for taking measurements in a wellbore including lowering a downhole logging tool in the wellbore; obtaining, via the logging tool, a plurality measurements of a downhole element; processing the plurality of measurements to obtain a plurality of processed measurements; calculating a contour model based on the plurality of processed measurements; and determining a parameter of the downhole element based on the contour model.

Abstract: A method is used for determining a status of an encapsulation and/or a passivation layer of the encapsulation. The encapsulation forms a multi-layer system from multiple passivation layers arranged on top of one another and electrically contacted intermediate layers arranged between the passivation layers. The multi-layer system protects an implant surrounded by the encapsulation. In the method, an electrical measurement is carried out between a reference potential and at least one electrically contacted intermediate layer, and at least one current flowing between the reference potential and the at least one electrically contacted intermediate layer is detected. The at least one detected current is compared with at least one pre-determined threshold value. If the detected current falls below or exceeds the at least one threshold value, this indicates a functional state of a passivation layer adjacent to the at least one electrically contacted intermediate layer.

Abstract: Disclosed is a fault signal recovery system including a data processor configured to generate a signal subset U* by removing, from a signal set U for a plurality of tags, some tags including a fault signal, and a first learning signal subset X* by removing tags disposed at positions corresponding to the some tags from a learning signal set X containing only tags of normal signals, a modeling unit configured to generate feature information F extractable from the first learning signal subset X* and recovery information P on a plurality of recovery models usable for restoring the fault signal, and a recovery unit configured to select an optimum recovery model by matching the feature of the learning signal set X with the recovery models generated through the recovery in formation P to estimate and recover normal signals for the some tags.

Abstract: Disclosed are a method and system of magnetotelluric synchronous detection and real-time inversion. The system includes a detection and inversion host (M) with wireless networking function and N2-1 detection and inversion extensions (Si) with wireless communication functions. The distance between each two detection and inversion extensions (Si) is D, i=1, 2, . . . , N2-1, and N is an odd number. The detection and inversion host is configured for collecting magnetic field signals and electric field signals at measurement points, wireless networking and cooperation, synchronous detection and real-time inversion control of the detection and inversion extensions (Si) in detection area. The detection and inversion extensions (Si) are configured for synchronous collection of electric field signals at measurement points and real-time inversion of detection data at measurement points under cooperative control of the detection and inversion host.

Abstract: This disclosure presents methods and systems to perform fairway analysis on a computing system to automate tasks. The automation of the fairway analysis can reduce bias and uncertainty introduced by a user using their own set of assumptions, estimations, and preferred sequencing of rules and algorithms. The described processes can receive initial input parameters describing the area of interest (AOI) and a geological age range. The processes can retrieve appropriate geological and stratigraphic parameters using the initial input parameters. The combined input parameters can then be geoprocessed using age-aware rules and a determined sequence of algorithms and rules to generate synthesized geological data that can be upscaled and transformed into one or more chance maps indicating the presence and effectiveness of various hydrocarbon elements. The chance maps can be amalgamated and processed to produce a prospective map indicating the likelihood of success of further exploration of the specified AOI.

Abstract: Metrology methods and targets are provided, that expand metrological procedures beyond current technologies into multi-layered targets, quasi-periodic targets and device-like targets, without having to introduce offsets along the critical direction of the device design. Machine learning algorithm application to measurements and/or simulations of metrology measurements of metrology targets are disclosed for deriving metrology data such as overlays from multi-layered target and corresponding configurations of targets are provided to enable such measurements. Quasi-periodic targets which are based on device patterns are shown to improve the similarity between target and device designs. Offsets are introduced only in non-critical direction and/or sensitivity is calibrated to enable, together with the solutions for multi-layer measurements and quasi-periodic target measurements, direct device optical metrology measurements.

Abstract: Various fault types occurring at multiple possible locations in the solar panel network are simulated using the network simulation model. The dataset covering multiple fault scenarios and multiple no-fault scenarios is determined for training the CNN model. The fault scenarios include one fault type alone at particular location or multiple locations, as well as multiple fault types at multiple locations. The fault types include a short circuit fault, an open circuit fault, a shading fault, a soiling fault, a hot-spot fault, an arc fault, a degradation fault, and a clipping fault, the short circuit fault comprises a line-line fault, and a line-ground fault The convolutional neural network (CNN) model is trained with fault datasets and no-fault datasets covering various fault sensors and no-fault scenarios to generate the FDDL model. The fault datasets and no-fault datasets are determined based on the network simulation model of the solar panel network.

Abstract: Starting from a set of plans, such as, without limitation, blueprints, drawings, or Autocad® files, a system and method for calibrating such plans and transferring such plans into a computer readable file and loading a specially designed electronic version of such plans into a hardware based system that locates, adjusts, transfers, and prints, to a desired scale, a lasting image of said construction plans drawn onto a building surface.

Abstract: This invention concerns torque sensor systems and methods that computationally compensate in real-time for hysteresis in signals output from sense elements that are indicative of a torque, including a time-varying torque. In preferred embodiments, temperature effects can also be compensated for by such methods and systems.

Abstract: A system for automatic detection of inefficient household thermal insulation includes a server module and a plurality of household client modules. The system performs the following steps: acquiring data relating to each monitored household; identifying periods of HVAC down-time and determining indoor temperature gained during these periods; extracting parameters of temperature gain, relating to the measured rate of temperature gain during the down time; training a machine learning algorithm, to create at least one classification model, wherein all monitored households are classified according to the parameters of temperature gain; producing expected values for parameters of temperature gain per each household, according to household's class membership; producing the ratio between the expected and measured values for parameters of temperature gain per each monitored household; comparing the ratio among similar households; and identifying inefficiently insulated household according to the comparison.

Abstract: Starting from a set of plans, such as, without limitation, blueprints, drawings, or Autocad® files, a system and method for calibrating such plans and transferring such plans into a computer readable file and loading a specially designed electronic version of such plans into a hardware based system that locates, adjusts, transfers, and prints, to a desired scale, a lasting image of said construction plans drawn onto a building surface.

Abstract: A computing system for collecting hardware performance data includes a number of programmable counters associated with a number of units of a computing device. The computing system further includes an assignment module executed by a processor to assign a plurality of interleaving groups of counters based on a user-defined priority list of parameters.

Abstract: A device and a method for fault detection and/or identification of at least one sensor device is described, characterized by a measurement mechanism with at least one high-resolution, A/D converter device for recording at least one electrical signal (A, Iout) at one or more coupling points for the at least one sensor device.

Abstract: A vehicle-roadway interface for power and data exchange with roadway sensors system used along a road surface for use with at least one vehicle, with the system comprising at least one active vehicle-based adapter removably mounted to the at least one vehicle and a plurality of passive roadway-based beacons affixed to or within the road surface. The system utilizes an innovative transmitted power system that allows the vehicle-based adapter to provide power to each of the roadway beacons whenever the equipped vehicle passes within proximity of the roadway beacon, while the vehicle is normally traveling along the roadway. Each of the roadway-based beacons communicates in real time with the vehicle-based adapter to detect, collect, transmit, and receive information concerning at least temperature conditions, moisture conditions, lane management, traffic management, record-keeping of passing vehicles, and high-fidelity geographic location coordinates.