Abstract: Tracer tracking for control of flow control devices on injection wells includes at least one computer processor executing a reservoir model using numerical tracers to obtain output values for at least one producer well. The numerical tracers are assigned to at least one corresponding injection flow control device in multiple injection flow control devices of an injection well. From the output values at the producer well, a set of volume fraction is calculated for the injection flow control devices. The at least one computer processor solves, using the set of volume fractions, an optimization problem to obtain a flow control device parameter, and stores the flow control device parameter in storage.

Abstract: A high pressure core chamber for use in collecting pressurized core samples from a reservoir is equipped with at least two high pressure access valves, allowing the core chamber to also function as a vessel for various high pressure experiments. In some embodiments, the core chamber is also equipped with a heater, allowing high pressure, high temperature experiments, and thus duplicating reservoir conditions. Various assays using the core chamber are also described.

Abstract: The present disclosure describes a method, a system, and a computer program product of indicating a status of an analytical instrument on a screen of the analytical instrument. In an embodiment, the method, the system, and the computer program product include receiving data from an analytical instrument monitoring a liquid sample, segmenting the received data into data segments for at least two characteristics of at least one of the instrument, the sample, and an operating environment of the instrument, analyzing each of the data segments for the at least two characteristics, retrieving threshold values for the at least two characteristics from a computer data source, calculating at least one status of at least one of the instrument, the sample, and the operating environment, with respect to the analyzed data segments and the threshold values, and displaying the at least one status on a display of the instrument.

Abstract: A method for testing compatibility between the energy needs of an electrically autonomous home-automation device and a predetermined location for a photovoltaic module comprising a step (Etp1) of selecting and storing an electrically autonomous home-automation device, a step (Etp2) of inputting and storing position data relative to the predetermined location, a step (Etp3) of defining and storing a shadow mask, a step (Etp5) of calculating the change in the amplitude of the solar radiation received at the predetermined location over the course of a year and a step (Etp6) of calculating an energy balance from the change in the amplitude of the solar radiation received at the predetermined location and the energy needs of the selected home-automation device.

Abstract: A method (and corresponding system) that characterizes a porous rock sample is provided, which involves subjecting the porous rock sample to an applied experimental pressure where a first fluid that saturates the porous rock sample is displaced by a second fluid, and subsequently applying an NMR pulse sequence to the rock sample, detecting resulting NMR signals, and generating and storing NMR data representative of the detected NMR signals. The application of experimental pressure and NMR measurements can be repeated over varying applied experimental pressure to obtain NMR data associated with varying applied experimental pressure values. The NMR data can be processed using inversion to obtain a probability distribution function of capillary pressure values as a function of NMR property values. The probability distribution function of capillary pressure values as a function of NMR property values can be processed to determine at least one parameter indicative of the porous rock sample.

Abstract: The present invention relates to a power plant early warning device and method which employ a multiple prediction model, and includes: a plurality of prediction models which receive information about the operation states of equipment in a power plant, and output prediction values and the reliabilities of the prediction values; a reliability analysis module which quantizes and analyzes the reliabilities output from the plurality of prediction models to determine the ranks of the plurality of prediction models, and calculates a final prediction value; a comparison module which compares the final prediction value with an actual measurement value, and outputs a residual; and a determination module which analyzes the residual to determine whether there are defects in the operating states of the equipment in the power plant.

Abstract: System, methods, and machine-readable media to facilitate monitoring and control of a railway maintenance assembly are disclosed. A railway workhead component monitor may be adapted to be disposed at a railway maintenance assembly. The railway workhead component monitor may be configured to perform one or a combination of the following. One or more conditions of at least a portion of the railway maintenance assembly may be monitored. Based at least in part on the monitoring, a plurality of monitoring data corresponding to operations of the railway maintenance assembly may be stored. Reporting data may be generated based at least in part on the stored plurality of monitoring data. A wireless communication may be transmitted toward a railway device controller that is remote from the railway maintenance assembly, the wireless communication including the reporting data.

Abstract: Methods for determining the presence of an unmeasured chemical in an environment can include receiving a plurality of sensor readings from a plurality of chemical sensors, wherein each chemical sensor of the plurality of chemical sensors is configured to detect a different chemical, determining a cross-sensitivity pattern from one or more unmeasured chemicals in the plurality of sensor readings, comparing the cross-sensitivity pattern with one or more known chemical patterns, determining that the cross-sensitivity pattern matches at least one of the one or more known chemical patterns that correspond to one or more chemicals, and identifying one or more unmeasured chemicals based on determining that the cross-sensitivity pattern matches the at least one of the one or more known chemical patterns.

Abstract: In various embodiments, methods, systems, and computer program products are provided for estimating greenhouse gas emissions. In particular, methods, systems, and computer program products are presented for the task of quantifying emissions reduction from changes in stocks of soil organic carbon (SOC). The methods apply more generally to tasks that involve quantification of a total or average across a population of land (and/or possibly any space and any time) using measurements at a sample from that population. The sample may not be representative or unbiased. In some examples, estimating greenhouse gas emissions may apply to quantifying the total stock of SOC in land, the total nitrous oxide emissions in land and a time interval.

Abstract: Determining an active jacking force of a tunneling closely undercrossing existing station, includes: acquiring design parameters of stations, and geological parameters of a construction site; obtaining a stress solution expression of the active jacking force on the existing station to obtain a stress solution of any point in a semi-infinite space under the action of a vertical load, replacing the vertical load with a vertical load acting on the existing station, and obtain a vertical stress solution of the existing station; obtaining a relational expression between the deflection and the stress solution of the existing station; and substituting the stress solution expression of the active jacking force into the relational expression between the deflection and the stress solution of the existing station according to boundary conditions at both ends of a beam on elastic foundation to obtain the active jacking force that controls the deflection of the existing station.

Abstract: A method for evaluating thermal reactivity in source rock evaluation may include obtaining information relating to various source rock samples. The method may include determining reactivities of source rocks corresponding to the various source rock samples. The source rocks may be at a same level of thermal maturity in an area of interest. The method may include interpreting kinetic parameters derived from the plurality of source rock samples. The method includes comparing published, archived and measured kinetic parameters of source rocks in the area of interest. The method may include converting complex format of kinetic parameters into a single variable for reactivity for evaluation and characterization of source rock in the area of interest.

Abstract: This disclosure describes systems and methods for crosstalk-free source encoding for ultrasound tomography. This disclosed systems and methods feature real data acquisition acceleration and/or numerical simulation acceleration (or image processing acceleration).

Abstract: Described herein are examples of evaluating electromagnetic energy reflection data of security scans. In embodiments, a method to evaluate electromagnetic energy reflection data determines whether electronic information of a security scan contains an anomaly, and identifies an anomaly location in the electronic information corresponding to the anomaly. The method determines a subset of the electronic information corresponding to the anomaly location, determines anomaly attributes using the subset of the electronic information, and evaluates the anomaly attributes using a database of reference items by comparing anomaly attributes to respective reference characteristics of reference items or identity information. When a comparison meets the respective match criterion for the given reference item, the method assigns to the anomaly the respective identifier as an anomaly identifier.

Abstract: A photovoltaic system's configuration specification can be inferred by an evaluative process that searches through a space of candidate values for the variables in the specification. Each variable is selected in a specific ordering that narrows the field of candidate values. A constant horizon is assumed to account for diffuse irradiance insensitive to specific obstruction locations relative to the photovoltaic system's geographic location. Initial values for the azimuth angle, constant horizon obstruction elevation angle, and tilt angle are determined, followed by final values for these variables. The effects of direct obstructions that block direct irradiance in the areas where the actual horizon and the range of sun path values overlap relative to the geographic location are evaluated to find the exact obstruction elevation angle over a range of azimuth bins or directions. The photovoltaic temperature response coefficient and the inverter rating or power curve of the photovoltaic system are determined.

Abstract: Aspects of the present disclosure include methods for adjusting a particle classification index in response to one or more saturated data signals from light detected from particles in a flow stream. Methods according to certain embodiments include detecting light from particles in a flow stream; generating a plurality of data signals from the detected light; identifying one or more saturated data signals; generating a saturated signal index that corresponds to the identified saturated data signals; and applying the saturated signal index to a particle classification index to generate an adjusted particle classification index. In some embodiments, methods include determining one or more parameters of a particle (e.g., for use in a particle sort decision) by calculating an adjusted spectral unmixing matrix for the fluorescence of the particle that excludes one or more saturated data signals. Systems and integrated circuit devices (e.g.

Abstract: A LIDAR-based method of determining an absolute speed of an object at a relatively longer distance from an ego vehicle, including: estimating a self speed of the ego vehicle using a first frame t?1 and a second frame t obtained from a LIDAR sensor by estimating an intervening rotation ? about a z axis and translation in orthogonal x and y directions using a deep learning algorithm over a relatively closer distance range; dividing each of the first frame t?1 and the second frame t into multiple adjacent input ranges and estimating a relative speed of the object at the relatively longer distance by subsequently processing each frame using a network, with each input range processed using a corresponding convolutional neural network; and combining the estimation of the estimating the self speed with the estimation of the estimating the relative speed to obtain an estimation of the absolute speed.

Abstract: A method for quantitatively analyzing the reservoir formation of an ultra-deep evaporite-dolomite paragenesis system is performed as follows. A typical drilling core containing the evaporite-dolomite paragenesis system and a field section are observed. The logging data is subjected to single-factor analysis to determine the planar distribution regularity of the ultra-deep evaporite and the dolomite, and the analysis of sedimentary combination pattern and development evolution regularity is performed. The diagenetic system is determined, and the reservoir formation of the evaporite-dolomite paragenesis system is analyzed. Based on the above technical solutions, the property, the evolution path and the reservoir formation of sedimentation-diagenesis fluids in the evaporite-dolomite paragenesis system can be clarified.

Abstract: In exemplary embodiments, a computer system detects performance anomalies for user computer services. Physical databases convert physical database KPIs into logical database KPI vectors for individual user services and individual time intervals. Physical application servers convert physical application server KPIs into logical application server KPI vectors for the individual user services and time intervals. Physical web servers convert physical web server KPIs into logical web server KPI vectors for the individual user services and time intervals. A KPI server combines the logical database KPI vectors, the logical application server KPI vectors, and the logical web server KPI vectors for individual time intervals into user service KPI vectors for the individual user services during the time intervals. The KPI server detects outlier user service KPI vectors as compared to normal user service KPI vectors and indicates corresponding computer performance anomalies for the user services.

Abstract: According to one embodiment, an anomaly factor diagnosis apparatus includes an identifier configured to identify a first measurement data item corresponding to a first time point when an anomaly factor occurs in a power generation apparatus, among measurement data items in the power generation apparatus, based on anomaly factor occurrence data identifying the first time point; a distribution generator configured to calculate a first distribution function representing a distribution of a feature value of the first measurement data item; and an evaluator configured to calculate an evaluation value of possibility of occurrence of the anomaly factor in the power generation apparatus, based on the first distribution function, and measurement data items to be tested in the power generation apparatus.

Abstract: A method for determining a pressure profile in a subterranean formation is described. The method includes drilling a wellbore in the subterranean formation; lowering a logging tool into the wellbore to measure resistivity values as a function of depth along the wellbore; identifying a plurality of porous zones from the wellbore based on petrophysical logs; converting the measured resistivity values to an amount of total dissolved solids for each of the plurality of identified porous zones; converting the amount of total dissolved solids to a pore fluid density; calculating a pressure based on a sum of the pore fluid densities derived along a length of the well; and generating a depth-based pressure profile.