Abstract: A system for automatically associating an image with an asset tag which includes a historian server system. A path command is sent to a mobile asset, the path command comprising instructions that enable the mobile asset to travel along a path to an instrumented asset. A collection command is sent to the mobile asset to collect asset data comprising a digital representation of the instrumented asset and send the asset data to one or more computers. The asset data can also comprise an instrument asset identification, one or more instrument data values indicative of a physical parameter of the instrumented asset, and a time stamp comprising an approximate time of collection command execution. The system generates a tag value comprising an asset link between the one or more instrument data values, the instrument identification, and the time stamp.

Abstract: Systems, apparatus, and related methods for vehicle sensor calibration are disclosed. An example vehicle includes a sensor including an output; sensor interface circuitry including a transistor, the sensor interface circuitry communicatively coupled to the output; and processor circuitry communicatively coupled to the sensor via the sensor interface circuitry. The processor circuitry is to cause the transistor to activate to electrically couple the output to one of (a) a ground potential or (b) a voltage source associated with a voltage different than a voltage corresponding to an output voltage range of the sensor; and cause a code to be transmitted to the sensor. The sensor is to perform a calibration in response to the electrical coupling of the output to the ground potential or the voltage source and receipt of the code.

Abstract: A method for detecting a defect in a structure of a device includes generating, only using the device, a low-frequency signal that makes the structure vibrate, generating a high-frequency signal in the structure, and measuring a vibratory signal caused by the generated low-frequency and high-frequency signals at the same time then adaptively re-sampling these measurements to obtain a re-sampled vibratory signal the power spectrum. The resampling includes a first frequency range [uBFmin; uBFmax] of width larger than 5 Hz that contains 95% of the power of the low-frequency signal, a second frequency range [uHFmin; uHFmax] of width systematically smaller than uBFmin that contains 95% of the power of the low-frequency signal. A defect is signaled in the structure if an additional power lobe is detected outside of the ranges [uBFmin; uBFmax] and [uHFmin; uHFmax].

Abstract: A magnetic sensor device includes first and second surfaces, and first and second inclined surfaces, which are inclined with respect to the first surface; first through third magnetic sensor units for detecting magnetism in first through third axial directions; and a signal processing unit that performs signal processing on the basis of first through third sensor signals output from the first through third magnetic sensor units. The first axial direction is a direction orthogonal to the first surface, and the second and third axial directions are directions orthogonal to each other on the first surface. The first and second magnetic sensor units are provided on the second inclined surface, respectively. A corrected signal generation unit included in the signal processing unit generates first and second corrected signals, which are the first and second sensor signals corrected in accordance with the inclination angles of the first and second inclined surfaces.

Abstract: A sand shale formation lithology evaluation method and system for precise deep oil and gas navigation aims to solve the problem in the prior art, that is, the accuracy of the logging-while-drilling (LWD) azimuthal resistivity is insufficient due to an equipment or technology deficiency. The method includes: acquiring density distribution data, gamma distribution data, and resistivity distribution data of a target location; amplifying the data to acquire amplified logging distribution data; clustering the data to acquire clustered logging data; adding stratigraphic information to the clustered data; performing dimensionality reduction by a principal component analysis (PCA) method, and taking dimensionality-reduced data as a weight of azimuthal logging data to acquire an LWD feature dataset; predicting missing LWD photoelectric data through the LWD feature dataset; and acquiring a formation lithology evaluation result based on an LWD photoelectric data prediction curve.

Abstract: A method is described for seismic amplitude analysis that uses a set of artificial and individually separable reflectors consistent with dip fields in the subsurface volume of interest to define an AVA basis functions; the AVA basis functions are used in true-3D AVA modeling and true-3D AVA inversion. The inversion result and well logs representative of the subsurface volume of interest are used to train a model to create a rock property prediction model. The method may apply the rock property prediction model to a second seismic image to generate a rock property volume. The method is executed by a computer system.

Abstract: The present disclosure is directed to vehicle-based systems for locating and mapping buried utility lines using principal components. Vehicle-based utility locating devices receive magnetic field signals emitted by utility lines and, with determined position data, implement principal component analysis to locate and map the utility lines.

Abstract: A strategy selection method for estimating a charge time includes, when a target state of charge for a traction battery is a full charge, establishing an estimated time required to charge the traction battery using a first strategy, and when a target state of charge for the traction battery is less than a full charge, establishing the estimated time required to charge the traction battery using a different, second strategy.

Abstract: Systems and methods are disclosed for providing virtual assays of an oil sample such as crude oil based on time of flight mass spectroscopy (TOF-MS) carried out on the oil sample, and the density of the oil sample. The virtual assay provides a full range of information about fractions of the oil sample including naphtha, gas oil, vacuum gas oil, vacuum residue, and other information about the properties of the oil sample. Using the system and method herein, the virtual assay data pertaining to these several fractions of the oil sample and the oil sample itself are obtained without fractionation of the oil sample into the several components.

Abstract: A method includes obtaining data representing a subterranean volume, the data having been collected by a user in a field, generating a digital model representing at least the subterranean volume based in part on the data, searching the digital model based in part on one or more metadata parameters, identifying one or more gaps in the model, and determining a data acquisition activity based on the one or more gaps that were identified in the model.

Abstract: A data processing device processes measurement data measured by a sensor that measures three-dimensional coordinates of a measurement object from a first position and a second position which are different. The data processing device includes a controller. The controller acquires measurement data of three or more planes of the measurement object from the sensor, the planes having different normal vectors. The controller finds, from the acquired measurement data, a transformation expression that integrates a coordinate system of the sensor at the second position into a coordinate system of the sensor at the first position.

Abstract: A method of generating a soft sensor for a mechanical system includes defining a training dataset of sensor values received from at least one first sensor corresponding a first physical quantity. The method further includes training a Sparse Identification of Nonlinear Dynamics (SINDy) model using the training dataset to generate a mathematical function defining a relationship between the sensor values and soft sensor values corresponding to a second physical quantity. The method further includes embedding machine readable instructions based on the mathematical function into an embedded system of the mechanical system including at least one first sensor. The machine readable instructions, when executed by the embedded system, cause the embedded system to receive sensor values corresponding to the first physical quantity and generate soft sensor values based on the sensor values and the mathematical function.

Abstract: Systems and methods are disclosed for providing virtual assays of an oil sample such as crude oil based on Fourier transform ion cyclotron resonance (FT-ICR) mass spectroscopy carried out on the oil sample, and the density of the oil sample. The virtual assay provides a full range of information about fractions of the oil sample including naphtha, gas oil, vacuum gas oil, vacuum residue, and other information about the properties of the oil sample. Using the system and method herein, the virtual assay data pertaining to these several fractions of the oil sample and the oil sample itself are obtained without fractionation of the oil sample into the several components.

Abstract: Leveraging migration and demigration, here we propose a learning-based approach for fast denoising with applications to fast-track processing. The method is designed to directly work on raw data without separating each noise type and character. The automatic attenuation of noise is attained by performing migration/demigration guided sparse inversion. By discussing examples from a Permian Basin dataset with very challenging noise issues, we attest the feasibility of this learning-based approach as a fast turnaround alternative to conventional denoising methodology.

Abstract: This application discloses a calibration method for navigation of an unmanned aerial vehicle (UAV), a non-transitory computer-readable storage medium and a UAV implementing the same. The calibration method includes: collecting, during a flight of the UAV, reference data during two measurements of a reference vector performed by a vector sensor; acquiring a zero-point offset M0 of the vector sensor according to the reference data; acquiring original data Rk of any vector measured by the vector sensor; acquiring valid data Vk according to the zero-point offset M0 and the original data Rk; and control headings and postures of the UAV according to the valid data Vk. With the calibration method in this application, the valid data Vk is defined as a vector data acquired after a zero-point error of the original data Rk is eliminated, which is more closely approximated to an actual value of a to-be-measured vector.

Abstract: A camera of a mobile device may be used to capture an image of at least part of a component. The component is identified based at least in part on the captured image. Once the component has been identified, the mobile device communicates with a remote server to receive one or more real-time electrical parameter values that correspond to the component. A diagnostic image of the component is displayed on a display of the mobile device, the diagnostic image showing one or more wiring terminals of the component. One or more of the real-time electrical parameter values received from the remote server are superimposed on the diagnostic image, wherein each of the one or more real-time electrical parameter values that is superimposed is positioned adjacent to the corresponding one or more of the wiring terminals.

Abstract: A determination of a continuous oil density log for a hydrocarbon reservoir accessible via a well drilling into the formation having the reservoir. The logging operations may be conducted in the well to generate a carbon-oxygen ratio (C/O) log, a water saturation log, and a porosity log. A continuous oil density log may be determined using the C/O log, the water saturation log, the porosity log, and carbon and oxygen density values. The continuous oil density log may be used in further characterization and development of the hydrocarbon reservoir.

Abstract: A method, system, device, and medium for online stress monitoring without baseline data based on single-mode multi-frequency signal fusion are provided.

Abstract: A system can determine performance data for updates created by update creators that execute on devices during a time period, the performance data indicating performance of a group of metrics for a respective update of the updates. The system can determine a first ranking of the update creators for the time period based on the performance data. The system can determine a second ranking of the update creators based on applying a pairwise comparison count of respective rankings of update creators of the first ranking and rankings for time periods prior to the time period. The system can determine whether to publish a first update from a first update creator of the update creators based on a position of the first update creator among the update creators in the second ranking.

Abstract: A system of detecting loading and unloading of mobile containers such as grain carts utilizes two low pass filters to determine whether the contents of the container are changing by subtracting one filter signal from the other, and using the sign of the difference. Weighing performance is improved by utilizing accelerometers to compensate for measurement dynamics and non-level orientation. Failure and degradation of weight sensors is detected by testing sensor half bridges. Loading and unloading weights can be tied to specific vehicles by utilizing RF beacons.