Abstract: Techniques to facilitate synchronization of industrial assets in an industrial automation environment are disclosed herein. In at least one implementation, a computing system receives time-series industrial process data associated with a plurality of process subsystems of an industrial automation process. The time-series industrial process data is fed into a machine learning model associated with the industrial automation process to dynamically generate a process duration prediction for a first one of the process subsystems and responsively determine an updated set point for a second one of the process subsystems based on the process duration prediction for the first one of the process subsystems. The updated set point for the second one of the process subsystems is provided to an industrial controller associated with the second one of the process subsystems.

Abstract: A synchronization system for an acoustic signal-based and inertial signal-based positioning system is provided that generates a magnetic field as a synchronization signal. The modulated magnetic synchronization signal is transmitted by a transmitter of the positioning system and received by the receiver of the positioning system. The receiver may make an acoustic position determination for the transmitter based on a received modulated synchronization signal and may make an inertial position determination for the transmitter based on the received inertial signal, such that the acoustic position determination and the inertial position determination are fused.

Abstract: A method and apparatus for seismic interpretation including machine learning (ML). A method of training a ML system for seismic interpretation includes: preparing a collection of seismic images as training data; training an interpreter ML model to learn to interpret the training data, wherein: the interpreter ML model comprises a geologic objective function, and the learning is regularized by one or more geologic priors; and training a discriminator ML model to learn the one or more geologic priors from the training data. A method of hydrocarbon management includes: training the ML system for seismic interpretation; obtaining test data comprising a second collection of seismic images; applying the trained ML system to the test data to generate output; and managing hydrocarbons based on the output. A method includes performing an inference on test data with the interpreter and discriminator ML models to generate a feature probability map representative of subsurface features.

Abstract: A system (100) for monitoring a pipe system (10) includes a first sensor device (102). The first sensor device (102) includes at least one sensor, a wake-up circuit (170), and a processor (172). The at least one sensor is configured to sense an operating characteristic of a piping section (12) of the pipe system (10), and includes a transducer configured such that an audio signal emanating in the piping section induces the transducer to produce a voltage signal indicative of the audio signal. The wake-up circuit (170) is operatively connected with the transducer, and generates a wake-up signal in response to the voltage signal being above a predetermined threshold. The processor (172) is operatively connected to the wake-up circuit (170) and to the at least one sensor, and is configured to identify an operating condition of the pipe system (10) with reference to the operating characteristic sensed by the at least one sensor in response to receiving the wake-up signal.

Abstract: A method for monitoring performance of at least one component on a moving platform, the method including receiving sensor data for the at least one component, along with supplemental data, at a processing node; and processing the sensor data, the processing using the supplemental data to filter the sensor data.

Abstract: A system for monitoring the levelness of an agricultural implement may include first and second tools rotatably supported on the agricultural implement, with the first and second tools being spaced apart from each other in at least one of a longitudinal direction or a lateral direction of the agricultural implement. The system may further include a first rotational speed sensor configured to detect a rotational speed of the first tool and a second rotational speed sensor configured to detect a rotational speed of the second tool. Additionally, the system may include a controller communicatively coupled to the first and second rotational speed sensors, with the controller being configured to identify a levelness state of at least a portion of the agricultural implement based at least in part on the rotational speeds of the first and second tools.

Abstract: A sensing system is embedded into a fabric or material that conforms to a portion of a user's body. The fabric or material has transmitting antennas and receiving antennas placed thereon. Movement of the fabric or material with the transmitting and receiving antennas placed thereon are able to measure the changes in the signals received by the receiving antennas. Measurement of the changes are used to determine movement of and position of parts of the body within and/or distal to the fabric or material by determining localized pressure deformation to reconstruct volumetric changes.

Abstract: Example methods and systems for calibrating sensors using road map data are provided. An autonomous vehicle may use various vehicle sensors to assist in navigation. Within examples, the autonomous vehicle may calibrate vehicle sensors through performing a comparison or analysis between information about the environment received by sensors with similar information provided by map data (e.g., a road map). The autonomous vehicle may compare object locations as provided by the sensors and as shown by map data. Based on the comparison, the autonomous vehicle may adjust various sensors to accurately reflect the information as provided by the road map. In some instances, the autonomous vehicle may adjust the position, height, orientation, direction-of-focus, scaling, or other parameters of a sensor based on the information provided by a road map.

Abstract: Methods and systems for calibrating depth in a well to seismic data in a subsurface volume of interest are disclosed. Exemplary implementations may: obtain well data corresponding to the well in the subsurface volume of interest; convert the well data to converted well data; obtain a seismic trace and a corresponding wavelet; generate a transform model; apply the transform model to the converted well data to transform the converted well data into transformed well data; apply the corresponding wavelet to the transformed well data to generate a modified signal; generate a correspondence between the modified signal and the seismic trace; repeat one or more steps to select a given modified signal; and calibrate the well data to the seismic trace.

Abstract: A method and apparatus includes at least one first sensor configured to be mounted to an infrastructure component, wherein the at least one sensor comprises an environmental sensor. At least one second sensor is configured to be mounted to the infrastructure component, and is configured to sense movement of the infrastructure component. The method and apparatus also includes a system that uses the at least one first sensor to detect an object position and determines an amount of correction for the object position based on movement detected by the at least one second sensor.

Abstract: The disclosure relates generally to the inversion of geophysical and/or logging measurements for formation evaluation and monitoring. The disclosure may be related to methods of deconvolution and/or inversion of piecewise formation properties. A method for formation evaluation from a downhole tool may comprise disposing a downhole tool into a wellbore, broadcasting a signal into a formation penetrated by the wellbore, recording the signal from the formation with at least one receiver disposed on the downhole tool, computing an objective function, and determining formation properties by minimizing the objective function.

Abstract: Systems and methods are disclosed that include generating reservoir property profiles corresponding to reservoir properties for pseudo wells based on reservoir data, generating seismic attributes for the pseudo wells, and training a machine learning model by comparing the reservoir property profiles against the seismic attributes. In this manner, the machine learning model may be used to predict reservoir properties for use with seismic exploration above a region of a subsurface that contains structural or stratigraphic features conducive to a presence, migration, or accumulation of hydrocarbons.

Abstract: A method for processing an audio signal in accordance with a room impulse response is described. The audio signal is separately processed with an early part and a late reverberation of the room impulse response, and the processed early part of the audio signal and the reverberated signal are combined. A transition from the early part to the late reverberation in the room impulse response is reached when a correlation measure reaches a threshold, the threshold being set dependent on the correlation measure for a selected one of the early reflections in the early part of the room impulse response.

Abstract: A method for de-blending seismic data associated with an interface located in a subsurface of the earth, includes receiving blended seismic data E generated by firing N source arrays according to a pre-determined sequence Seq; selecting N sub-datasets SDn from the blended seismic data E; interpolating each selected sub-dataset SDn to reference positions ref, where the blended seismic data E is expected to be recorded, to generate interpolated data k; de-blending, in a processor, the interpolated data k to generate de-blended data o; and generating an image of the interface of the subsurface based on the de-blended data o.

Abstract: Systems and methods for data collection in an industrial environment are disclosed. A system can include a plurality of analog sensors, wherein each of the plurality of analog sensors is operationally coupled to a respective data collection point of a machine component, and generates a respective stream of detection values. A data acquisition and analysis circuit can receive the respective stream of detection values and analyze the respective stream of detection values using an expert system analysis circuit, wherein the expert system analysis circuit determines an occurrence of an anomalous condition based on an analysis of the respective stream of detection values, wherein the expert system analysis circuit utilizes a neural network including one of a probabilistic, a time delay, and a convolutional neural network.

Abstract: A method includes generating a seismic shot by a seismic source, the seismic shot directed at a geological subsurface, and receiving, by one or more receivers, a plurality of reflected seismic traces from the seismic shot. The method further includes generating a correlogram of each reflected seismic trace to generate a plurality of correlograms, isolating a coda wave train of each correlogram of the plurality of correlograms, and computing an energy ratio between an energy of the coda wave train of each correlogram and a total energy of a corresponding correlogram of the plurality of correlograms to generate a plurality of energy ratios. The method further includes determining an average of the plurality of energy ratios to generate an average energy ratio of the seismic shot and determining a likelihood of striking a subsurface geohazard when drilling into the geological subsurface based on the average energy ratio.

Abstract: Methods and systems for data collection in an industrial environment with haptic feedback and data communication and bandwidth control are disclosed. A system can include a data collector to collect data based on a selected data collection routine, a data storage to store a plurality of collector routes and data, a data acquisition circuit to interpret the data and determine an occurrence of an anomalous condition, a data analysis circuit to evaluate a data communication constraint and adjust a volume of data communicated between the input channels and the data storage, wherein the data analysis circuit determines an aggregate rate of data being collected, and, if the aggregate rate exceeds a current bandwidth allocation rate, request an increase to the current bandwidth allocation rate, and a haptic user device for generating a haptic stimulation in response an occurrence of a specified anomalous condition.

Abstract: A method for depth determination of drilled rock cuttings is disclosed. The taggant is injected and transported downhole along the mud stream and attaches to the rock cuttings. Taggant impregnated cuttings are detected at the surface based on molecular weight, emission wavelengths or radio frequency characteristics for encoding the taggant. The identification code identifies the depth of the drill bit when the particular batch of the taggant is released into the mud. The detection data, in addition to mud properties, flow rates, drill volume and penetration rates, formation characteristics, and well specifications are transferred to and analyzed by a taggant analysis and control engine. The taggant analysis and control engine controls an IoT controller that adapts the parameters of the taggant injection pump to achieve an intelligent controlled release to optimize the depth characterization process.

Abstract: A method of compressing data from seismic waves using Gabor frames utilizes a plurality of geophones positioned within a region of interest. Each of the plurality of geophones is communicably coupled with at least one remote server. Thus, a plurality of reflected-seismic signals received through the plurality of geophones can be transmitted to the at least one remote server for analyzing and calculations. The plurality of reflected-seismic signals is converted into a set of Gabor frames, wherein the Gabor frames is generated via a plurality of prolate spheroidal wave functions (PSWF). A Gabor frame-generating calculation module utilizes the plurality of PSWF to generate the set of Gabor frames. A dual frame for each of the set of Gabor frames is derived and used for quantization purposes. Preferably, a tree structured vector quantization process is followed.

Abstract: Devices, systems, and techniques relating to steam trap monitoring are described. These include battery-less steam trap monitors that run on power harvested from their environments, systems for acquiring steam trap monitor data for the traps in a facility or across multiple facilities, and techniques for processing steam trap monitor data to reliably determine the status of individual steam traps and potentially other system parameters.