Abstract: A flip top spectrometer sample cell including first and second members each includes a window aligned with each other when the first and second members are coupled together defining a predefined spacing between the windows when the first and second members are coupled together, the first and second members decoupled for manually placing a fluid sample on a the window. The flip top spectrometer sample cell is configured to be withdrawn out of a housing for cleaning of the windows.

Abstract: Enteral tubes, tube tip detection systems, and methods for detecting tube misplacement are provided. For example, a tube tip detection system comprises an enteral tube having a tip and a first light disposed at the tip that is illuminated as the enteral tube is inserted into a patient to indicate to a user of the system whether the tip is misplaced in the patient's airway. Similarly, enteral tubes are provided that comprise a tip, a length, and a light that is continuously illuminated as the enteral tube is inserted into a patient. Methods for detecting a tube misplacement in a patient's airway include embedding a light into an enteral tube, inserting the enteral tube into the patient through the patient's nose or mouth, and monitoring a location of the light as the enteral tube is inserted into the patient to determine if the tube is traveling into the patient's airway.

Abstract: A method and a system for controlling a lot risk score based dynamic lot measurement on the basis of equipment reliability index are provided. The method for controlling a measurement, according to an embodiment of the present invention, calculates an equipment reliability index of specific equipment for a specific process in semiconductor manufacturing, calculates a risk score of the specific equipment for the specific process on the basis of an equipment reliability index, and determines, on the basis of the risk score, whether to measure a semiconductor product processed by the specific equipment for the specific process. Therefore, differential quality monitoring and management is possible according to the equipment reliability index, a measuring instrument can be efficiently used, quality and yield can be improved through timely measurement, and management convenience can be increased through automatic and dynamic lot measurement control.

Abstract: A method may comprise: disposing an acoustic logging tool in a wellbore, wherein the acoustic logging tool comprises a transmitter and a receiver; emitting a flexural wave from the transmitter; recording a four component dipole waveform with the receiver, wherein the four component dipole waveform comprises XX, XY, YX, and YY components; rotating the four component dipole waveform using Alford rotation to produce rotated waveform components, wherein the rotated waveform components comprise XX?, XY?, YX?, and YY? components; comparing a travel time of XX? and YY? components to identify a fast wave and a slow wave from the rotated waveform components; processing the fast wave and the slow wave using high-resolution data-driven processing to obtain a fast wave flexural dispersion curve and a slow wave flexural dispersion curve; determining a frequency dependent anisotropy curve using the fast wave flexural dispersion curve and the slow wave flexural dispersion curve; and determining a low-resolution shear anisot

Abstract: An audio and vibration based power distribution equipment condition monitoring system and method is provided. The system includes an intelligent audio analytic (IAA) device and a sensing assembly. The IAA device has computer executable instructions such as an audio data processing algorithms configured to identify and predict impending anomalies associated with one or more power distribution equipment using one or more neural networks.

Abstract: Techniques for phase identification using feature-based clustering approaches are disclosed. Embodiments employ linear and nonlinear dimensionality reduction techniques to extract feature vectors from raw time series. In an embodiment, a constrained clustering algorithm separates smart meters into phase connectivity groups. Another embodiment clusters smart meter data, where voltage measurements are collected from smart meters and a SCADA system. Then, customer voltage time series are normalized and linear or nonlinear dimensionality reduction is applied to the normalized time series to extract key features. Next, constraints in the clustering process are defined by inspecting network connectivity data. Then, a constrained clustering method is applied to partition customers into clusters. Lastly, each clusters phase is identified by solving a minimization problem.

Abstract: A method includes receiving seismic data for a geologic region of the Earth; building a velocity model of the geologic region of the Earth; selecting at least one mode of multiple and corresponding travel time data from a data storage where the travel time data correspond to at least one complex ray signature in the geologic region of the Earth and are based at least in part on the velocity model; performing migration on the seismic data using at least the selected travel time data to generate processed seismic data; and rendering an image of the geologic region of the Earth to a display where the image includes at least a multiple image.

Abstract: A method may include obtaining well operation data regarding various well operations for a well delivery. The well operations may be performed by various service entities at a first well site. The method may further include determining a contribution weighting factor using a machine-learning model and the well operation data. The contribution weighting factor may correspond to a contribution of a first service entity among the service entities toward the well delivery. The method may further include determining, using the contribution weighting factor and an adjusted weighting factor, various performance indicator values for the first service entity. The adjusted weighting factor may be a weighting factor that is modified based on a size of the contribution weighting factor. The method may further include transmitting, based on the performance indicator values, a command to a second well site.

Abstract: There are described methods, systems, and techniques for performing automated drilling of a well bore. The well bore is drilled according to one or more drilling parameter targets associated with one or more corresponding drilling parameters. A controlling drilling parameter of the one or more drilling parameters is determined to be outside a threshold window. In response to determining that a stringer has been encountered, one or more controlled drilling parameter targets of the one or more drilling parameter targets are updated. The controlled drilling parameter targets comprise a revolutions per minute (RPM) target and weight-on-bit (WOB) target.

Abstract: A method for predicting energy consumption of a vehicle using a statistical model. The method includes (i) predicting a set of future input vectors for the vehicle at defined time intervals corresponding to a plurality of future points in time based on a subset of a plurality of reference input vectors previously generated at the defined time intervals at a plurality of previous points in time, (ii) predicting a change in the energy level of the vehicle using a processor and the statistical model, and (iii) providing results corresponding to the predicted change in the energy level to an output unit of the vehicle. Each reference input vector comprises a vehicle input vector and a database input vector associated with each point in time of the plurality of previous points in time. The database input vector for each defined time interval may be based on at least one of a plurality of environmental data and information about a road condition.

Abstract: Methods, systems, and computer readable media for gridding of subsurface salt structures include determining a predetermined area lacks three dimensional seismic coverage, generating a two dimensional seismic top salt interpretation for the predetermined area, generating a bathymetry elevation of the predetermined area, determining that at least one two dimensional seismic line intersects a bathymetric feature of interest, and determining a correlation coefficient between the two dimensional seismic top salt interpretation and the bathymetry elevation. The method may further include determining the correlation coefficient is greater than a predetermined threshold value, and applying the bathymetry elevation as an additional control for gridding top of the subsurface salt structure. The step of gridding the top of the subsurface salt structure may further include applying at least one of kriging with external drift (KED), polygon-based approaches, regression-kriging, and other geostatistical methods.

Abstract: A method, a system, and a non-transitory computer readable medium to calibrate a lithostatic stress map of a particular geological layer in a basin model are described. The lithostatic stress map is generated by simulating the basin model and calibrated based on available well data without re-simulating the basin model. In particular, the calibration is based on the mean lithostatic density, which is a constant value of density that yields a value of lithostatic stress equivalent to the lithostatic stress at the same depth produced by the existing column of rocks in the basin.

Abstract: A transformer failure identification and location diagnosis method based on a multi-stage transfer learning theory is provided. Simulation is set up first, a winding parameter of a transformer to be tested is calculated, and a winding equivalent circuit is accordingly built. Different failures are configured for the equivalent circuit, and simulation is performed to obtain a large number of sample data sets. A sweep frequency response test is performed on the transformer to be tested, and detection data sets are obtained. Initial network training is performed on simulation data sets by using the transfer learning method, and the detection data sets are further trained accordingly. A failure support matrix obtained through diagnosis is finally fused. The multi-stage transfer learning theory is provided by the disclosure.

Abstract: A method can include receiving multi-channel time series data of drilling operations; training a deep neural network (DNN) using the multi-channel time series data to generate a trained deep neural network as part of a computational simulator where the deep neural network includes at least one recurrent unit; simulating a drilling operation using the computational simulator to generate a simulation result; and rendering the simulation result to a display.

Abstract: Techniques for determining an operator position for a hydrocarbon production area include identifying an entity name; determining a plurality of land areas associated with the entity name based on at least one public data set, at least one of the land areas including a hydrocarbon-bearing land area; determining a position associated with the entity name for each of the plurality of land areas based on the at least one public data set and at least one private data set, the position including an operator position or a non-operator position; determining at least a portion of the plurality of land areas in which the determined position associated with the entity name includes the operator position; aggregating the determined portion of the plurality of land areas to generate an operator land area for the entity name; and generating a graphical representation of the generated operator land area to present to a user.

Abstract: A method for seismic processing includes steps of seismic signal forward propagation and seismic data back propagation. The subsurface medium image is created after correlating and summarizing forward and backward propagation results. To address migration footprint and noise due to the incomplete data acquisition aperture and migration approximation in the migration operator, the iteration inversion strategy incorporates tensor flow calculated from seismic image. A regularization operator based on structure tensor of image is applied to seismic image inversion.

Abstract: Acoustic characterization and mapping of flow from a perforation zone of a well. As a wireline probe containing acoustic sensors moves through the well, the acoustic sensors record acoustic pressure measurements of flow for each perforation in the well casing. The acoustic data is recorded and compiled into a three-dimensional flow model showing flow of hydrocarbons within and/or out of perforation tunnels. The three-dimensional flow models generated can be combined with historical data to form four-dimensional models illustrating flow over time, and both the three and four-dimensional models can be used to determine effectiveness of perforation charges as well as future flow from the well.

Abstract: In some examples, a method performed by a drilling rig control center, includes receiving raw data for a first time segment, the raw data related to a drilling operation. In addition, the method includes deriving first drilling state measurements based on the raw data of the first time segment. Further, the method includes deriving first formation state measurements based on the raw data of the first time segment. The method also includes correlating the first derived drilling and formation state measurements of the first time segment with a second derived drilling and formation state measurements of a second time segment. Still further, the method includes generating a control response based on the correlation.

Abstract: A method checks a plug connection, in which a first plug part is connected to a second plug part. The method determines a force-time curve of a force applied by an assembler during an assembly process of a plug connection. In addition, the method determines characteristic values of a plurality of characteristics of the force-time curve. The method also classifies the plug connection by use of a machine-learned classifier on the basis of the characteristic values of the plurality of characteristics.

Abstract: A ventilator conduit for a reversible airway device (RAD) is provided. The RAD can include a supra-glottic support member connected to a tubular guide (TG) having oppositely disposed proximal and distal end portions and TG lumen, which extends between the ends and is defined by an inner surface. The RAD can be physically free of an endotracheal tube. The ventilator conduit can include a hollow tube having first and second ends, and a ventilator conduit lumen extending between the ends. The first and second ends can be adapted for connection to a ventilator circuit and insertion into the TG lumen, respectively. At least the second end of the hollow tube can be sized and dimensioned so that, upon insertion into the TG, an outer surface of the second end is brought into direct contact with a portion of the inner surface to form an air-tight seal therebetween.