Abstract: Systems and methods for determining mechanical properties of anisotropic media are disclosed. A method for determining mechanical properties of an anisotropic media includes obtaining log data of the anisotropic media, the log data corresponding to measurements of the anisotropic media collected with a logging tool; determining values for a plurality of first stiffness components of a stiffness matrix based on horizontal and vertical velocities derived from the log data; determining an upper bound for a second stiffness component of the stiffness matrix based on the values for the plurality of first stiffness components; estimating a value for the second stiffness component based on the determined upper bound; determining a mechanical property of the anisotropic media based on the estimated value of the second stiffness component; and providing the determined mechanical property.

Abstract: A method is described for property estimation including receiving a seismic dataset representative of a subsurface volume of interest and a well log from a well location within the subsurface volume of interest; identifying seismic traces in the seismic dataset that correspond to the well location to obtain a subset of seismic traces; windowing the subset of seismic traces and the well log to generate windowed seismic traces and a windowed well log; multiplying the windowed seismic traces and the windowed well log by a random matrix to generate a plurality of training datasets; and training a neural network using the plurality of training datasets. The method may be executed by a computer system.

Abstract: Methods and systems for data collection in an industrial environment include a data collector communicatively coupled to a plurality of input channels, wherein at least one of the input channels is connected to a vibration detection facility coupled to a plurality of vibration components. A data storage stores a plurality of vibration patterns for the plurality of vibration components in a library of vibration patterns. A data acquisition circuit interprets a plurality of detection values, each comprising a representation of collected data corresponding to at least one of the plurality of input channels. An expert system analysis circuit analyzes the plurality of detection values to determine if one of the plurality of vibration components has a recognized vibration pattern corresponding to a stored vibration pattern from the library of vibration patterns. A response circuit provides an alarm condition in response to the vibration component having the recognized vibration pattern.

Abstract: The present disclosure relates to a method for detecting a fault state at an FMCW-based fill level measuring device, including performing two reference measurements successively in time, a first reference measurement signal and a second reference measurement signal, using the filling level measuring device under a predefined reference measurement condition. In each of the two reference measurement signals a characteristic parameter is determined, wherein a change in the characteristic parameter over time is determined by comparing the two reference measurement signals. A fault state is detected when the change in the characteristic parameter exceeds a predefined maximum characteristic parameter change.

Abstract: System for data collection and monitoring in an industrial environment are disclosed. A data acquisition circuit may interpret a plurality of detection values, each of the plurality of detection values corresponding to at least one of a plurality of input sensors. A data storage circuit may store sensor specifications, anticipated state information and detected values for use by a signal evaluation to determine a sensor overload status, a sensor fault status or a sensor validity value of at least one sensor in response to the plurality of detection values and at least one of an anticipated state information or a sensor specification. A response circuit may perform an operation in response to one of a sensor overload status, a sensor health status, or a sensor validity status.

Abstract: Apparatus and methods to investigate a multiple nested conductive pipe structure can be implemented in a variety of applications. An electromagnetic pulsed tool disposed in the multiple nested conductive pipe structure in a wellbore can make a set of log measurements and provide a measured log at different depths in the multiple nested conductive pipe structure. A test setup or library can provide a set of small defect log measurements. Processing circuitry can process the set of log measurements to generate thickness estimations of the multiple nested conductive pipes and processing circuitry can process the set of small defect log measurements to generate small defect thickness estimations. Processing circuitry can solve a system of equations involving the thickness estimations and the small defect thickness estimations to generate thickness variations for the multiple nested conducted pipes over the different depths. Additional apparatus, systems, and methods are disclosed.

Abstract: A device is provided for use with a database having stored therein, a plurality of signatures corresponding to a plurality of fields, respectively, wherein the plurality of fields correspond to a plurality of locations, respectively. The device includes an accessing component, a field-detecting component, a comparing component and an identifying component. The accessing component can access one of the plurality of signatures from the database. The field-detecting component can detect a first field based on a first location and can generate a detected field signature based on the detected first field. The comparing component can generate a comparison signal based on a comparison of the detected field signature and one of the plurality of signatures. The identifying component can identify the first location based on the comparison signal.

Abstract: Methods and systems for data collection in an industrial environment include a data collector communicatively coupled to a plurality of input channels, wherein at least one of the input channels is connected to a vibration detection facility coupled to a plurality of vibration components. A data storage stores a plurality of vibration patterns for the plurality of vibration components in a library of vibration patterns. A data acquisition circuit interprets a plurality of detection values, each comprising a representation of collected data corresponding to at least one of the plurality of input channels. A data analysis circuit analyzes the plurality of detection values to determine if one of the plurality of vibration components has a recognized vibration pattern corresponding to a stored vibration pattern from the library of vibration patterns. A response circuit adjusts a process of the environment in response to the vibration component having the recognized vibration pattern.

Abstract: A method for determining spatial information for a multi-segment articulated rigid body system having at least an anchored segment and a non-anchored segment coupled to the anchored segment, each segment in the multi-segment articulated rigid body system representing a respective body part of a user, the method comprising: obtaining signals recorded by a first autonomous movement sensor coupled to a body part of the user represented by the non-anchored segment; providing the obtained signals as input to a trained statistical model and obtaining corresponding output of the trained statistical model; and determining, based on the corresponding output of the trained statistical model, spatial information for at least the non-anchored segment of the multi-segment articulated rigid body system.

Abstract: A method for estimating the depth-domain seismic wavelets from depth-domain seismic data and synthesizing depth-domain seismic records. The method includes: obtaining depth coordinates and P-wave velocity v and density from well log, calculating a corresponding reflectivity series r; performing constant-velocity depth conversion for a seismic trace S and a reflectivity series r by using a velocity vc as a reference velocity to obtain the converted seismic trace S1 and the converted reflectivity series r1; and estimating a depth-domain seismic wavelet w based on the Gibbs sampling method; synthesizing depth-domain seismic record by using the P-wave v, the reflectivity series r and the estimated depth-domain seismic wavelet w.

Abstract: A pressure testing system for analyzing a rock formation includes a tubular support member sized to pass into a wellbore of the rock formation and an adjustable loading device configured to exert a radial load against the wall of the wellbore. The adjustable loading device includes multiple expandable members distributed around a circumference of the tubular support member and configured to expand to respectively exert multiple radial pressures against the wall of the wellbore that together provide the radial load. The pressure testing system further includes a control module configured to selectively control expansion of each expandable member of the multiple expandable members to vary the radial load exerted by the adjustable loading device as a function of an angle around the circumference of the tubular support member.

Abstract: In a method for determining a position, in particular of a vehicle, a first position determination entity is defined as the active position determination entity. The position determined by the active position determination entity is output as the currently determined position. A further position determination entity is started and determines a position on the basis of the received sensor data. If the further position determination entity has reached a stable status, it is defined as the active position determination entity.

Abstract: The present disclosure provides a method, an apparatus, and a computing device for determining dissemination heat degree of information. The method for determining dissemination heat degree of information includes analyzing N levels of sharing data of specific network information to determine parameters related to each sharing level of the specific network information, where N is a natural number greater than 1; and calculating a dissemination heat degree S of the specific network information based on the parameters related to the sharing of the specific network information. The dissemination heat degree obtained according to the disclosed method, apparatus, and computing device can be used to predict the popular level of the specific network information during the subsequent dissemination process.

Abstract: There is provided an information processing device including a control unit that determines reliability of positioning information of a user calculated on a basis of sensed information output from a sensing unit built in a portable information processing device. According to the present disclosure, it is possible to determine the reliability of positioning information. Note that the effects described above are not necessarily limitative. With or in the place of the above effects, there may be achieved any one of the effects described in this specification or other effects that may be grasped from this specification.

Abstract: Provided, in one aspect, is a method for performing a rock core flow performance test. The method, in this aspect, includes containing un-cured cement within an in-situ cement curing test fixture. The method additionally includes placing the in-situ cement curing test fixture with the un-cured cement within a pressure vessel of a rock core flow test system, and subjecting the in-situ cement curing test fixture with the un-cured cement within the pressure vessel to non-ambient temperature or pressure to form in-situ cured cement.

Abstract: A field device is provided for detecting a process measurement variable, which is configured as a level measuring device for detecting a fill level of a medium, the field device including: a sensor arrangement to detect a measurement signal correlating with the process measurement variable; and a computing arrangement to determine a measurement value of the process measurement variable based on the measurement signal, the computing arrangement including at least one first computing device and at least one second computing device, the first computing device being configured to perform at least one deterministic computing operation, and the second computing device including at least one artificial intelligence module, and being configured to perform at least one probability-based and/or classification-based computing operation. A method of operating the field device is also provided.

Abstract: A method for calibrating a sensor of a vehicle is provided. In this method, a sensor measured value that includes a measuring position and a measurement time is received by a data processing unit. Based on the measuring position and the measurement time, the sensor measured value is assigned to at least one reference measured value, which has been ascertained with a reference sensor of a reference vehicle at a reference position and at a reference measurement time, if the measurement time of the sensor measured value and the reference measurement time deviate from one another by a maximum of 30 minutes. In addition, at least one reference calibration value of the reference sensor is communicated to the vehicle and/or provided to the vehicle, so that an instantaneous calibration value of the sensor may be adapted based on the reference calibration value.

Abstract: Systems and methods for transferring logging data from an offset well location to a target well location by adjusting the logging data to account for the difference in correlated depths between the target well and the offset well where logging data is acquired.

Abstract: Described herein are methods and systems for clustering events in temporal signals, such as physiological signals. In some embodiments, a method for identifying events of interest from noisy physiological signal data is provided, the method comprising: receiving physiological signal data; generating filtered signal using a filter defined by a spectral band; generating signal peak data by identifying, for each of a plurality of time windows, a signal peak in the filtered data; grouping waveforms corresponding to the time windows based on the signal peak data to generate clustered event data; determining parameters for a noise beta distribution; identifying a cluster of waveforms that does not fall within the noise beta distribution; generating a graphical representation based on the waveforms in the cluster; and displaying the graphical representation.

Abstract: A device intended to be installed in an aircraft, the device being adapted for functioning in a first so-called “on the ground” operating mode or a second so-called “in flight” operating mode, the device includes a radio module compliant with a low power wide area network standard adapted for sending messages comprising data issuing from a sensor and supplied by an energy storage element, the device being adapted for: (1) in the first operating mode: before the sending of each message, charging the energy storage element with a predefined energy, and (2) in the second operating mode: for each message to be sent, choosing a transmission power, determining, according to this transmission power, an energy necessary for the sending of the message by the radio module, and before the sending of the message, charging the energy storage element with the necessary energy determined.