Abstract: Various aspects described herein relate to a machine learning based detecting of fracture hits in offset monitoring wells when designing hydraulic fracturing processes for a particular well. In one example, a computer-implemented method includes receiving a set of features for a first well proximate to a second well, the second well undergoing a hydraulic fracturing process for extraction of natural resources from underground formations; inputting the set of features into a trained neural network; and providing, as output of the trained neural network, a probability of a fracture hit at a location associated with the set of features in the first well during a given completion stage of the hydraulic fracturing process in the second well.

Abstract: A measurement data acquisition section acquires the measurement data indicating at least one from among the position, the orientation, the velocity, the acceleration, the angular velocity, and the angular acceleration measured by the sensor. A measurement-data-with-settings generation section generates measurement data with settings including the measurement data and coordinate system setting data indicating settings for a coordinate system used for expressing at least one from among the position, the orientation, the velocity, the acceleration, the angular velocity, and the angular acceleration indicated by the measurement data. A measurement-data-with-settings output section outputs the measurement data with settings.

Abstract: A method and system is presented for short to long-term flood forecasting. At the core of the method is a neural network-based flood forecasting model. The method and system performs the steps to implement and use the neural network-based flood forecasting model comprising obtaining historical data from the region, including but not limited to climate and water level data; sampling and structuring the historical data in conjunction with data queried from a GIS (geographic information system) into a dataset; dividing the dataset into pre-processed training and validation partitions; configuring the neural network and training hyperparameters; training the neural network-based flood forecasting model on the pre-processed training partition; performing validation on the neural network-based flood forecasting model with the pre-processed validation partition. Embodiments of the invention are capable of performing flood forecasting over a region in short to long-term time intervals.

Abstract: The present invention is a method or system for acceptance testing and commissioning of a LINAC and treatment planning system (TPS). For a LINAC commissioning, the present invention collects reference data from a fully calibrated LINAC and compares the reference data with machine performance data collected from LINAC. The compared results are analyzed to assess accuracy of the testing LINAC. For a TPS commissioning, the present invention collects standard reference data from standard treatment plans and standard input data and compares the standard reference data with results from standard tests that are performed by a testing treatment plan system. The compares results are analyzed to assess accuracy of the testing treatment plan system.

Abstract: Disclosed herein are earthquake detection devices capable of initiating a safety response in the event of an earthquake. The earthquake detection devices comprise a plurality of three-component accelerometers for measuring acceleration in three directions; and a processing unit for: receiving acceleration measurements from each of the plurality of accelerometers, determining if the acceleration measurements meet or exceed a predetermined threshold value and sending a signal to one or more transducers.

Abstract: A goods processing apparatus can include a pivotable display, a sensor, and a controller. The sensor detects an angle of inclination of the pivotable display. The pivotable display is rotatable about a x-axis of a Cartesian coordinate system. The sensor is disposed on the pivotable display and includes respective transducers at least in a direction of a y-axis and a z-axis of the Cartesian coordinate system. The sensor generates respective digital measured values for each of the y-axis and the z-axis. The controller processes the two digital measured values to derive the angle of inclination of the pivotable display based on the two digital measured values, and stores, in a memory of the goods processing apparatus, the derived angle of inclination.

Abstract: A fracture mapping system for use in hydraulic fracturing operations utilizing non-directionally sensitive fiber optic cable, based on distributed acoustic sensing, deployed in an observation well to detect microseismic events and to determine microseismic event locations in 3D space during the hydraulic fracturing operation. The system may include a weighted probability density function to improve the resolution of the microseismic event on the fiber optic cable.

Abstract: Provided is an application method of a Micro Electro Mechanical Systems (MEMS) inertial sensor and an electronic device. An application method of an accelerometer includes: based on an influence of a strain, generated under the action of an external force, of the accelerometer on a detection signal of the accelerometer, adopting the detection signal to reflect the external force. An application method of a gyroscope includes: based on an influence of a strain, generated under the action of an external force, of the gyroscope on a detection signal of the gyroscope, adopting the detection signal to reflect the external force. Further provided is an electronic device adopting the foregoing methods.

Abstract: A system and method for computing a metric indicating a user operation of an application is described. The system accesses online activity data of a user operation of the application. The system filters the online activity data based on a preset time range. An after-hours activity score is calculated based on a type of activity or a duration of an activity from the filtered online activity data, and a weight assigned to the type of activity or the duration of the activity. The system computes an after-hours metric based on the after-hours activity score. A configuration setting for the application based on the after-hours metric is applied to the application.

Abstract: Ringdown noise can be estimated and removed from a waveform captured by a downhole tool. Ringdown may be estimated by calculating a median of waveforms from a number of tool firings. The estimated ringdown may then be subtracted from a waveform currently being processed. The resulting waveform contains a more accurate representation of a true echo signal reflected from the borehole wall or formation. In some embodiments, the acoustic transducer's deterministic waveform may be learned by statistical analysis of other waveforms near in time to the presently measured waveform. In other embodiments, the deterministic waveform may be learned via previously acquired waveforms now stored in memory, or through predictive waveforms developed in laboratory testing conditions similar to those experienced downhole.

Abstract: Methods of identifying a subterranean tunnel using digital imaging that may include: obtaining data of a propagating wavefield through a propagating volume that includes a portion of the earth's subsurface; obtaining a reference digital image of the propagating volume; selecting a holographic computational method of wavefield imaging; selecting a wavefield based on one or more parameters; calculating a sampling ratio by dividing a number of data samples in the data subset by a number of image samples in the data subset; decimating the data subset; generating a new digital image based on the selected holographic computational method of imaging, the decimated data subset, and parameters corresponding to the data subset; determining a quantitative difference measure between the reference digital image and the new digital image, and image quality; and identifying the subterranean tunnel.

Abstract: A system for monitoring and reporting internal refrigeration unit temperatures includes a temperature measuring device for placement within the refrigeration unit. The temperature measuring device has a first temperature sensors situated in a liquid or solid mass (e.g. glycol or glass beads) for measuring an average temperature within the refrigeration unit and/or has a second temperature sensors exposed to ambient air within the refrigeration unit for measuring an instantaneous temperature within the refrigeration unit. A circuit periodically transmits the average temperature and/or the instantaneous temperature from the temperature measuring device to a server where the average temperature and the instantaneous temperature are analyzed to determine and/or predict a fault with the refrigeration unit. Upon determination and/or prediction of the fault, an alert is sent to at least one staff member indicating the refrigeration unit and fault.

Abstract: A timing alignment method for data acquired by monitoring units of a borehole-surface micro-seismic monitoring system includes acquiring two rock-burst waveform data segments with GPS timestamps; calculating a time difference and a number of sampling points between each pair of adjacent GPS timestamps; adding, on an equal-interval basis, a sampling time to a sampling point missing a timestamp between each pair of adjacent GPS timestamps; calculating average sampling frequencies of the two rock-burst waveform data segments, adding, on an equal-interval basis, a sampling time to a sampling point missing a timestamp except first and last GPS timestamps in each of the two data segments; obtaining sampling times of all sampling points, resampling the sampling times according to a uniform sampling frequency; calculating a rock-burst waveform data segment at a new sampling time with a linear interpolation formula, and aligning the sampling times of the two rock-burst waveform data segments.

Abstract: Systems and methods are provided that address the need to frequently calibrate analyte sensors, according to implementation. In more detail, systems and methods provide a preconnected analyte sensor system that physically combines an analyte sensor to measurement electronics during the manufacturing phase of the sensor and in some cases in subsequent life phases of the sensor, so as to allow an improved recognition of sensor environment over time to improve subsequent calibration of the sensor.

Abstract: A LIDAR system includes a LIDAR chip configured that outputs a LIDAR output signal. The LIDAR system also includes a LIDAR adapter that receives the LIDAR output signal from the LIDAR chip and also outputs the LIDAR output signal from the LIDAR system and toward a sample region in a field of view. The LIDAR adapter also receives a LIDAR return signal that includes light from the LIDAR output signal after the LIDAR output signal is reflected by an object located in the sample region. The LIDAR output signal and the LIDAR return signal travel the same optical pathway between the LIDAR adapter and the object. The LIDAR adapter is also configured to output a LIDAR input signal that is received by the LIDAR chip and includes or consists of light from the LIDAR return signal. The LIDAR input signal and the LIDAR output signal travel different optical pathways between the LIDAR adapter and the LIDAR chip.

Abstract: Various embodiments herein relate to systems and methods for detecting seismic events. Systems may include inertial sensors distributed on or in communication with a network of optically switchable windows in the building. In some systems, inertial sensors are located within a window controller, within an insulated glass unit, or in some way rigidly attached to the structure of a building. Logic is described for leveraging sensed inertial data to predicted a seismic event and/or evaluate the structural health of the building. In some cases, logic may be used to issue an alert to building occupants about impending shear waves that will arrive at the building's location. In some cases, a window network may respond to a detected seismic event by, e.g., changing the optical state of windows and/or providing occupants with evacuation instructions.

Abstract: Methods, apparatuses, and non-transitory machine-readable media associated with relative humidity (RH) sensors are described. Examples can include receiving from an RH sensor RH information of an environment of a processing resource or a memory resource coupled to the processing resource, or both, determining that the RH information indicates an RH level above a particular threshold for the processing resource or the memory resource, or both, and disabling one or more aspects of the processing resource or the memory resource, or both, to mitigate damage to the processing resource or the memory resource, or both, responsive to determining that the RH is above the particular threshold.

Abstract: A system, apparatus, and method for determining intact versus fractured rock zones based on performance monitoring of an electric drilling machine when drilling a blasthole. The determination can be based on a calculation of compensated blastability index (“CBI”) values using transformed performance monitoring data collected in real-time as the drilling machine drills the blasthole.

Abstract: Processes and systems described herein are directed to imaging a subterranean formation from seismic data recorded in a marine survey with moving marine vibrators. The marine vibrators generate random sweeps with random sweep signatures. Processes and systems generate an up-going pressure wavefield from measured pressure and vertical velocity wavefield data recorded in the marine survey and obtain a downgoing vertical acceleration wavefield that records source wavefields, directivity, source ghosts, and random signatures of the random sweeps. The downgoing vertical acceleration wavefield data is deconvolved from the up-going pressure wavefield to obtain a subsurface reflectivity wavefield that is used to generate an image of the subterranean formation with reduced contamination from source wavefields, directivity, source ghosts, and random signatures of the random sweeps.

Abstract: Methods and systems for identifying a pay zone in a subterranean formation can include: logging a well extending into the subterranean formation including measuring bulk density, compressional wave travel time and shear wave travel time at different depths in the subterranean formation; calculating elastic attributes including acoustic impedance and compressional velocity-shear velocity ratio at different depths in the subterranean formation; and displaying and analyzing the calculated elastic attributes to identify the low resistivity pay zones.