Abstract: The present invention belongs to the field of treatment for data identification and recording carriers, and specifically relates to a method and system for analyzing filling for a karst reservoir based on spectrum decomposition and machine learning, which aims to solve the problems that by adopting the existing petroleum exploration technology, the reservoir with fast lateral change cannot be predicted, and the development characteristics of a carbonate cave type reservoir in a large-scale complex basin cannot be identified. The method comprises: acquiring data of standardized logging curves; obtaining a high-precision 3D seismic amplitude data body by mixed-phase wavelet estimation and maximum posteriori deconvolution and enhancing diffusion filtering. According to the method and the system, the effect of identifying the development characteristics of the carbonate karst cave type reservoir in the large-scale complex basin can be achieved, and the characterization precision is improved.

Abstract: A vibratory meter (5, 1600) configured to predict and reduce noise in the vibratory meter (5, 1600). The vibratory meter (5, 1600) includes a sensor assembly (10, 1610) and a meter electronics (20, 1620) in communication with the sensor assembly (10, 1610). The meter electronics (20, 1620) is configured to provide a drive signal to a sensor assembly (10, 1610), receive a sensor signal from the sensor assembly (10, 1610) having one or more components, and generate a signal to be applied to one of the sensor signal and the drive signal to compensate for the one or more components.

Abstract: A method of determining a shear-wave attenuated vertical component vertical seismic profile (VSP) dataset is disclosed. The method includes, obtaining a multi-component VSP dataset, including a vertical and a horizontal component, transforming the vertical component into a vertical spectrum and the horizontal component into a horizontal spectrum, and designing a band-pass filter based, at least in part, on an energetic signal of the horizontal spectrum. The method further includes determining a muted vertical amplitude spectrum by applying the pass-band filter to an amplitude spectrum of the vertical spectrum, determining an estimated noise model based on the muted vertical amplitude spectrum and the vertical spectrum; and determining the shear-wave attenuated vertical component VSP dataset by adaptively subtracting the estimated noise model from the vertical component of the multi-component VSP dataset.

Abstract: Methods for determination of mechanical properties of geological formations using deep learning include receiving, by a computer system, data acquired during drilling a geological formation. The computer system generates features of the data acquired during drilling. The features are indicative of mechanical properties of the geological formation. The computer system segments the features of the data acquired during drilling into sequences readable by a trained temporal convolutional network (TCN). The computer system determines the mechanical properties of the geological formation using the TCN based on the sequences obtained from the features of the data. A display device of the computer system generates a graphical representation of the mechanical properties of the geological formation.

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: A seismic observation device includes a data acquisition unit that acquires measurement data from each of a plurality of sensors that measure different types of state quantities related to movement of a ground, and an event determination unit that determines whether or not a predetermined event related to the movement of the ground has occurred on the basis of the measurement data from the plurality of sensors.

Abstract: Systems, computer readable, and methods concern receiving seismic data representing a subsurface volume. The method also includes determining, for the seismic data, analysis coordinates as a function of time. One or more of the analysis coordinates may vary in position over time. The method includes performing at least one of an interpolation or regularization process on the seismic data based at least partially on the analysis coordinates. The method also includes outputting a result of the at least one of the interpolation or regularization process.

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: 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: 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: 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.