Abstract: Methods for measuring seismic velocities and for monitoring local changes in inter-well seismic velocities in real time are described. Two or more spaced-apart observation wells are provided. Seismic receiver arrays are placed in the observation wells, and a seismic source array is provided at surface locations away from the well bores and producing areas. Compression (P), vertical shear (Sv) and/or horizontal shear (Sh) seismic wave signals are generated from each element of the seismic source array, and the seismic signals arriving at the receivers in the observation wells are recorded. The virtual source method is then applied to the recorded data to compute emulated cross-well seismic signals of the virtual sources at receiver locations in one observation well propagating toward the receivers at other observation wells. Analysis of direct arrivals of emulated cross-well seismic signals can be completed to extract travel times, inter-well seismic velocities, and rock properties.

Abstract: Embodiments represent acceleration along three orthogonal axes at two or more times as a three dimensional plot. Each point in the plot is positioned according to three coordinates, each of which is proportional to the amount of acceleration along one of the orthogonal axes at a moment in time. Some embodiments render the three dimensional plot as a three dimensional article of manufacture in which each point in the plot is represented by a volume of material. Some embodiments represent the three dimensional plot in two dimensions in a graphical interface. System embodiments may include an accelerometer, processor, output device, and a non-transitory computer readable medium storing instructions causing the processor to map points with coordinates proportional to acceleration along the respective axes to a virtual three-dimensional plot and then control the output device to render the plot in two or three dimensions.

Abstract: A method is provided for identifying and characterizing structures of interest in a formation traversed by a wellbore, which involves obtaining waveform data associated with received acoustic signals as a function of measured depth in the wellbore. A set of arrival events and corresponding time picks is identified by automatic and/or manual methods that analyze the waveform data. A ray tracing inversion is carried out for each arrival event (and corresponding time pick) over a number of possible raypath types to determine i) two-dimensional reflector positions corresponding to the arrival event for the number of possible raypath types and ii) predicted inclination angles of the reflected wavefield for the number of possible raypath types.

Abstract: An inspection device includes a first data storage unit configured to store a first data which is time series according to a state of an inspection object, a second data generation unit configured to generate second data, which is a spectrogram including a first frequency component, a time component, and an amplitude component by performing short-time Fourier transform on the first data, a third data generation unit configured to generate third data including the first frequency component, a second frequency component, and the amplitude component by performing Fourier transform on time-amplitude data for each first frequency component in the second data, respectively, and a determination unit configured to determine the state of the inspection object based on the third data.

Abstract: A method for optimizing pressure exchange includes providing a first pressure exchange system comprising an energy recovery device (ERD). A second system supplies high-pressure fluid, energized by a positive displacement pump, to the ERD. A third system supplies low-pressure fluid to the ERD. The first system energizes the low-pressure fluid with the high-pressure fluid to form a high-pressure fracking fluid, which is delivered from the first system to a well-head. A rate of required flow is input into a control system, which determines a rate of flow of the high-pressure fluid, a rate of flow of the low-pressure fluid, and an actual rate of flow of the fracking fluid at the well-head. The control system then adjusts to equilibrium: the rate of flow of the high-pressure fluid based on the actual rate of flow; and the rate of flow of the low-pressure fluid based on the actual rate of flow.

Abstract: A system (100), method and computer program product for optimization of crop protection. A generator module (120) accesses one or more configuration data structures (220) wherein the one or more configuration data structures include data fields to store crop data (221), advice data (222) related to respective crop data, and crop protection product data (223) related to respective advice. Further, it accesses a plurality of code snippets (230) wherein each code snippet (231, 232, 233) has a condition which relates either to at least one property field of the one or more data structures (220) or to a result of another code snippet, and further includes generic program logic associated with the condition, and wherein each property field is used in the condition of at least one code snippet. The plurality of code snippets is applied to the one or more configuration data structures to generate an advice logic program.

Abstract: An apparatus, methods and systems for data collection in an industrial environment are disclosed. A monitoring system can include a data collector communicatively coupled to each one of a plurality of input channels utilizing one of a plurality of collector routes, wherein each input channel includes data corresponding to an element of a first industrial machine, and wherein each of the plurality of collector routes includes a distinct data collection routine, a data storage circuit structured to store a plurality of detection values that corresponds to the plurality of input channels, and a data marketplace circuit structured to communicate at least a portion of the detection values to a data marketplace, wherein the data marketplace circuit performs at least one of self-organizing the data marketplace and automating the data marketplace.

Abstract: A wearable device includes a blood pressure sensor configured to continuously measure blood pressure of a measurement subject; a check section configured to, in response to an instruction for commencing a continuous measurement of the blood pressure, check whether a treatment device to be used during the continuous measurement of the blood pressure is attached to the measurement subject; a measurement controller configured to, when the check section confirms that the treatment device is attached, execute a continuous measurement of the blood pressure with the blood pressure sensor; and a display section configured to, when the check section does not confirm that the treatment device is attached, display a form of guidance to prompt attachment of the treatment device.

Abstract: In an energy treatment system, a processor temporally detects an electrical property value of an ultrasonic transducer, holds a temporary peak value of the electrical property value, detects an impedance value between the probe electrode and the jaw electrode, and compares the electrical property value and the temporary peak value to determine whether a predetermined condition is satisfied, and whether the impedance value exceeds a predetermined threshold. In response to determining that the electric property value satisfies the predetermined condition and the impedance value is larger than the predetermined threshold, the processor performs at least one of: (i) stopping and (ii) decreasing output from the first power supply, and notifying the determination result.

Abstract: The disclosed embodiments include systems and methods to evaluate a formation dip of a formation bedding. The system includes memory configured to store a color image indicative of a log of a formation bedding. The system also includes a processor configured to execute instructions to filter colors of the color image to determine one or more cusps of the formation dip, and cross correlate a reference wave with the one or more cusps of the formation dip to match curvatures of the reference wave with the one or more cusps of the formation dip illustrated in the color image, wherein the curvatures of the reference wave are based on one or more parameters of the formation bedding. The processor is further operable to generate a wave that matches the one or more cusps of the formation dip with the reference wave, where the wave is indicative of the formation dip.

Abstract: A method may include obtaining various well logs or various core samples regarding a geological region of interest. The method may further include determining various permeability values, various porosity values, and various dolomite volume fraction values regarding the geological region of interest using the well logs or the core samples. The dolomite volume fraction values may correspond to a percentage of dolomite in a total mineral volume. The method may further include determining, using the porosity values, various permeability thresholds corresponding to various predetermined reservoir qualities. The method may further include generating, using the permeability thresholds, the permeability values, and the dolomite volume fraction values, a reservoir model including various dolomite boundaries defining the predetermined reservoir qualities. The method may further include determining a hydrocarbon trap prediction using the reservoir model.

Abstract: A downhole tool is positioned in a borehole of a geological formation at a given depth. A formation property is determined at the given depth. The positioning and determining is repeated to form data points of a data set indicative of formation properties at various depths in the borehole. One or more outlier data points is removed from the data set based on first gradients to form an updated data set. One or more properties associated with a reservoir compartment are determined based on second respective gradients associated with the updated data set.

Abstract: Property values inside an explored underground subsurface are determined using hybrid analytic and machine learning. A training dataset representing survey data acquired over the explored underground structure is used to obtain labels via an analytic inversion. A deep neural network model generated using the training dataset and the labels is used to predict property values corresponding to the survey data using the DNN model.

Abstract: Methods and systems for predicting surface failure of a surface, for example a method comprising the steps of: obtaining a group of measured datasets, each including: a measurement value of at least a first type for each of a plurality of grid elements, each grid element associated with a location on the surface; and a time value, such that the group of datasets includes datasets associated with a plurality of unique time values, identifying an interface set of grid elements for each measured dataset, each interface set comprising grid elements of the associated measured dataset meeting a connection threshold according to a connection rule in dependence on the measurement values of the grid elements, determining a risk of surface failure in accordance with identification of a pattern of grid elements of the interface set which has a persistent location with respect to the surface of interface sets over a plurality of measured datasets.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media for utility monitoring and utility usage determination, control and optimization. The system receives utility usage information from one or more sensor devices, and obtains water usage information from a first sensor device coupled to a water pipe, obtains electricity usage information from a second sensor device coupled to an electrical panel, and/or obtains water heater usage information from a third sensor device coupled to a water heater. The system may use the obtained utility information to determine types of utility activities and/or appliances being used corresponding to the utility usage.

Abstract: A system for controlling a flow of fluid includes a flow control device having a fluid channel configured to transport a fluid between a subterranean region and a borehole conduit, a resonant sensing assembly including a resonator body disposed in fluid communication with the fluid channel, and a controller configured to cause the resonator body to vibrate according to an expected resonance frequency of the resonator body. The system also includes a processing device configured to acquire a measurement signal generated by the resonator body, estimate a property of the fluid based on the measurement signal, and control a flow of the fluid through the flow control device based on the property of the fluid.

Abstract: A system and method for selecting plants based on climate data and plant data. The system receives climate data and plant data and selects plants for a geographical division based on the climate data and plant data. The system generates durable plant tags with for the plants that have an icon that identifies the lighting level and watering level of the plants using a color and a number.

Abstract: A method of detecting sand inflow into a wellbore is disclosed. The method can include obtaining a sample data set, detecting a broadband signal within the sample data set, comparing the broadband signal with a signal reference, determining that the broadband signal meets or exceeds the signal reference, and determining the presence of sand inflow into the wellbore based on determining that the broadband signal meets or exceeds the signal reference. The sample data set can be a sample of an acoustic signal originating within a wellbore including a fluid, and the broadband signal at least includes a portion of the sample data set at frequencies above 0.5 kHz.

Abstract: Embodiments determine anomalies in sensor data generated by a sensor by receiving an evaluation time window of clean sensor data generated by the sensor. Embodiments receive a threshold value for determining anomalies. When the clean sensor data has a cyclic pattern, embodiments divide the evaluation time window into a plurality of segments of equal length, wherein each equal length comprises the cyclic pattern. When the clean sensor data does not have the cyclic pattern, embodiments divide the evaluation time window into a pre-defined number of plurality of segments of equal length. Embodiments convert the evaluation time window and each of the plurality of segments into corresponding curves using Kernel Density Estimation (“KDE”). For each of the plurality of segments, embodiments determine a Kullback-Leibler (“KL”) divergence value between corresponding curves of the segment and the evaluation time window to generate a plurality of KL divergence values.

Abstract: A method and a wearable device are provided. The method includes providing a swimming mode in the wearable device, and storing standard swimming stroke data that have been collected in advance as corresponding template data, when a monitoring process starts, activating the swimming mode according to an instruction given by a user who will immediately enter water, and after the swimming mode has been activated, controlling a sensor to collect swimming stroke data of the user; obtaining test data for identifying a swimming state of the user from the swimming stroke data; and matching the test data with each template data, when the test data successfully matches the template data, identifying the swimming state of the user to be the swimming state that corresponds to the template data.