Abstract: A method for estimating the efficiency of hole cleaning of a well-bore during drilling operations includes (a) selecting at least one feature of the drilling operation for monitoring; (b) receiving, from a sensor, data regarding the at least one feature; (c) comparing the data to a predetermined condition for the at least one feature; (d) defining an event when the data meets the predetermined condition; (e) assigning a weight to the event based on a duration of the event; and (f) estimating an efficiency of the hole cleaning based on the event and the weight of the event. The at least one feature being selected from the list consisting of: hole angle, circulation, tight spot, static hole, and bit hydraulics.

Abstract: An apparatus and method for performing automated pump-down operations. An apparatus may include a control system configured to be communicatively connected with a fluid pump disposed at a wellsite surface and with a conveyance device disposed at the wellsite surface. The control system may be operable to cause the conveyance device to unwind a conveyance line connected with a tool string disposed within a wellbore, and cause the fluid pump to pump a fluid into the wellbore such that the fluid moves the tool string along the wellbore while the conveyance device unwinds the conveyance line.

Abstract: Transmission-line voltage measurements in a digital-electricity power system are validated by acquiring a series of transmission-line voltage measurements during a sample period when a transmitter-disconnect device is in a non-conducting state. A numerical analysis is performed to determine a point in time at which AC components in the transmission line have diminished and at which the primary change in the transmission-line voltage measurement values is due to DC decay. A receiver acquires a series of receiver-voltage measurements during the same sample period; and a numerical analysis is performed on the receiver-voltage measurements to determine the point in time at which the AC components have diminished and where the primary change in the transmission-line voltage measurement values is due to DC decay. The transmitter-disconnect device is then placed in a non-conducting state based on an evaluation of those measurements.

Abstract: An industrial machine management system includes circuitry that collects changeable setting data of an industrial machine, determines, based on the setting data at each time point of multiple time points, whether a change has been made to the setting data, and outputs change information regarding the change when the change is determined as having been made to the setting data.

Abstract: A method for predicting formation permeability by measuring diffusional tortuosity in several directions by pulse gradient NMR. The method comprises evaluating an anisotropic diffusion coefficient by pulsed gradient NMR, determining diffusional tortuosity from the restricted diffusion data, supplementing the NMR results with resistivity and sonic logging data, measuring anisotropic tortuosity and porosity by resistivity and sonic data and combining all components in a single fitting model. The 11-coefficient model is trained to recognize the true values of permeability by comparing the real oil permeabilities measured in a library of oil-carrying rock cores with the NMR, resistivity and sonic correlates. The fitting coefficients are extracted by minimizing the discrepancy between the laboratory measured permeabilities and the predicted values combining all rapid logging information components with the agreement-maximizing weights.

Abstract: An anomalous sound detection training apparatus includes: a first acoustic feature extraction unit that extracts an acoustic feature of normal sound based on training data for normal sound by using an acoustic feature extractor; a normal sound model updating unit that updates a normal sound model by using the acoustic feature extracted; a second acoustic feature extraction unit that extracts an acoustic feature of anomalous sound based on simulated anomalous sound and extracts the acoustic feature of normal sound based on the training data for normal sound by using the acoustic feature extractor; and an acoustic feature extractor updating unit that updates the acoustic feature extractor by using the acoustic feature of anomalous sound and the acoustic feature of normal sound that have been extracted, in which processing by the units is repeatedly performed.

Abstract: A management device is connected to an AC power line provided with a plurality of connection ports, each of which can be connected to an electric device including a power storage unit. The management device includes a measurement unit configured to measure an electric signal on the AC power line, a determination unit configured to determine a type of the electric device connected to the AC power line via a connection port in the plurality of connection ports based on a measurement result of the measurement unit, and a first prediction unit configured to predict an amount of power supply on the AC power line due to discharge of the power storage unit based on a determination result of the determination unit.

Abstract: Provided are a computer program product, system, and method for using system errors and manufacturer defects in system components causing the system errors to determine a quality assessment value for the components. A system error message indicates at least one at least one system error resulting from an operation of at least one component deployed in the system. A manufacturing defect for the at least one component whose operation results in the at least one system error is determined from information from a manufacturer of the component. A quality assessment value is determined from the system error and manufacturing defect, for each of the at least one component for which there is a manufacturing defect. A message is transmitted to an administrator of the system indicating a negative assessment of the component in response to a comparison of the quality assessment value and a threshold value indicate a negative assessment.

Abstract: A computing system has a processor that receives input data including an electrical load list. The computing system dynamically generates a single-line diagram based on the input data. That is, the computing system may generate the single-line diagram while the input data is generated, modified, or the like. The input data may be provided by a customer via a graphical user interface (GUI). The single-line diagram may be rendered in the same GUI on a client device.

Abstract: A method and system for providing energy audits including installation, verification and inspection of energy consuming components and energy producing components. An energy audit is conducted offline on an energy audit application on a network device for energy consuming components (e.g., lighting, heating, ventilation, air condition, etc.) and energy producing components (e.g., solar, wind, water, etc.) and automatically synchronized to a server network device when the network device is able to connect to a communications network and go on-line. Energy audit templates are provided to ensure all energy consuming components and energy producing components are fully defined and consistently identified on an electronic floorplan for a commercial or industrial building.

Abstract: Systems and methods are described to create a comprehensive model from multiple input data sources in distributed manner for performing diagnostics and/or prognostics of a complex system/platform having its modules/parts implemented independent of each other. In an embodiment, the proposed system for creating a comprehensive connected model of a complex platform includes a input data receive module configured to receive data/content/information from one or more input data sources associated with different modules of the complex platform in a distributed manner, a dependency determination module configured to analyze a plurality of entities/variables retrieved from the data and determine dependency relationships between the plurality of entities by creating a edge list, and a connected model creation module configured to create a comprehensive connected model (connected graph) from the edge list.

Abstract: A method of identifying molecular parameters may include receiving observed transition frequencies, generating transition frequency sets and a spectral parameter sets, training one or more artificial neural networks by analyzing the transition frequency sets and the spectral parameter sets, analyzing the observed transition frequencies using the one or more trained artificial neural networks to predict estimated spectral parameters, and identifying molecular parameters by analyzing the estimated spectral parameters.

Abstract: A frequency adaptive harmonic current generator, including a microcontroller board (15) used for controlling the generation of harmonic currents and frequency adaptive operating function; an electronic relay (11) controlled and switched over the digital output of the microcontroller (21), the resistor (23) and the transistor (24); a data collection unit (13) to which the voltage divider (5), the buffer (6) and the current shunt (8) are connected for the measurement of voltage and current harmonics and which reads the current and voltage values and transfers such values to the panel type computer (14); and a panel type computer (14) which includes software for making, presenting and recording the measurements, the external connections of which are ensured by USB connectors (18) and a LAN connector (19), which displays the measurement values to the user, and which has push-button (20) for switching on/off operations.

Abstract: A system, method, and computer program product for reservoir reserves estimation that includes at least one processing component, at least one memory component, a well data manager, a classification module, and an estimation module. The well data manager consolidates well data for a subject well and at least one neighbor well. The classification module includes a search component that selects at least one closest neighbor well from the neighbor wells. The classification module also includes a similarity matching component that determines a log signature distance between the at least one closest neighbor well and the subject well, as well as an analog selector that selects one or more analog wells from the at least one closest neighbor well. The estimation module includes a decline estimator that generates group decline rates for the one or more analog wells and a subject decline rate based on the group decline rates.

Abstract: A measurement device applies a pulse current or a current of a plurality of frequencies to a laminated body having a plurality of layers having different electrical conductivities. The device acquires in-plane distribution information indicating distribution of a magnetic field of a first plane outside the laminated body. A processor generates three-dimensional magnetic field distribution information indicating a three-dimensional distribution of magnetic field on an outside of the laminated body based on the in-plane distribution information, and generates information on an inside of the laminated body by processing the three-dimensional magnetic field distribution information on the outside of the laminated body. The in-plane distribution information includes information indicating response characteristics to a change in the current applied by the current applying unit.

Abstract: A storm damage response system includes a storm ensemble database that stores ensemble forecast models associated with respective potential storm paths of a given storm across a geographic area and an equipment database that stores equipment data associated with location and characteristics of power-providing equipment in the geographic area. A storm damage model algorithm generates a storm response plan comprising an operational procedure for repairing or maintaining power transmission and distribution electric systems to mitigate storm damage impact based on generating a probabilistic model for each of the ensemble forecast models based on the equipment data and calculating a statistical impact value associated with the probabilistic model based on an aggregate of iterative probabilistic simulations for the respective ensemble forecast model. The storm response plan can be generated based on the relative statistical impact value of the probabilistic model of each of the ensemble forecast models.

Abstract: A system for detecting an anomaly in an execution of an operation of a machine determines a local matrix profile (LMP) of a test signal with respect to the baseline signals. LMP is a time series of values, each LMP value for a time instance is determined for a segment of the test signal based on a minimum distance between the segment of the test signal with corresponding segments of the baseline signals, such that each LMP value is a value of a local dissimilarity of the execution of the operation of the machine with respect to the baseline executions of the operation of the machine. The system determines an accumulation of the LMP values above an LMP threshold and detects an anomaly when the accumulation above an anomaly detection threshold.

Abstract: A measurement apparatus that measures a facility of a measurement target and that is able to transmit measurement data as intermittent data and an analysis apparatus. An analysis apparatus includes: a communication part that receives the intermittent data from the measurement apparatus; and an analysis part that estimates a standard data pattern serving as a reference, based on a common portion between a pair of the data in a set of the intermittent data received and determines presence of an anomaly for intermittent data of a determination target received from the measurement apparatus by referring to the standard data pattern.

Abstract: A signal processing circuit includes a correction function determination section for performing correction function determination processing, and a correction processing section for performing correction processing. The correction processing is to correct first and second detection signals by using a correction function to thereby generate first and second corrected signals. The correction function is expressed as a coefficient matrix for converting a first column vector containing the first and second detection signals as elements into a second column vector containing the first and second corrected signals as elements. The correction function determination processing includes performing arithmetic processing using a plurality of pairs of values of the first and second detection signals to determine one or two provisional correction coefficients as the correction coefficients of the correction function.

Abstract: Apparatus for disaggregating a plurality of aggregated electrical devices that receive power via a same power node, the apparatus comprising: a memory having values of at least one power feature for each of the aggregated electrical devices that characterizes power consumption of the device; and a processor configured to: receive a measure of a value for the at least one power feature of node power distributed to the aggregated devices via the power node; determine an optimum probability mass function (PMF) based on the values for the at least one power feature for each of the electrical devices that is optimized to provide an optimum disaggregation state vector for the aggregated electrical devices that satisfies a predetermined criterion to provide a value for the at least one power feature that agrees with the received measure of the at least one power feature.