Abstract: A method and system for resistivity imaging. A method may comprise disposing a downhole tool into a borehole, applying a voltage difference between the array of injector electrodes, constructing a first set of formation images for each of the plurality of frequencies, applying a mud effect removal algorithm to produce a second set of formation images for each of the plurality of frequencies, applying a dielectric correction algorithm to each of the plurality of frequencies to produce a third set of formation images for each of the plurality of frequencies, and combining the first set of formation images, the second set of formation images, and the third set of formation images to obtain a blended image. A system for resistivity imaging may comprise a downhole tool. The downhole tool may comprises a pad, an array of injector electrodes, and one or more return electrodes.

Abstract: Generating specific and contextualized natural language descriptions based upon raster-based weather visualizations for a defined geographic region. The generated natural language descriptions are provided in a written and/or audible form. In some cases, these natural language descriptions are generated based on weather forecast data sets that indicate a relative motion of certain weather-related events.

Abstract: A forecast engine is configured to analyze aerial and/or satellite images depicting a geographic area to identify the existence of solar panels within the geographic area at different times. Based on the installation time of each solar panel, the forecast engine estimates the solar power generation capacity of the solar panel. The forecast engine also analyzes meteorological data, including weather forecasts, to estimate a level of insolation at each solar panel within the geographic area across a range of times. The forecast engine can then determine the total amount of solar power generation within the given geographic area at a particular time using the solar power generation capacity of each solar panel and the level of insolation at each solar panel at the particular time.

Abstract: A method performed by at least one apparatus is inter alia disclosed, said method comprising: obtaining weather model data indicative of location-specific weather information for a first set of locations (26) on a first grid (28); obtaining an area of interest (30) associated to at least one user (32); obtaining and/or determining a second set of locations (34) based on a second grid (36) within said area of interest (30); obtaining measurement data on location-specific weather information of a measurement device associated to said at least one user located at a measurement location (38) within and/or proximate to said area of interest (30); and determining, based on at least said obtained weather model data and said obtained measurement data, location-specific weather information for said second set of locations (34) based on said second grid (36).

Abstract: Provided is a position and posture estimation system including: a laser sensor that detects a distance to a pallet; a plane equation calculation unit that calculates a plane equation of a front surface of the pallet on the basis of detection data of the laser sensor; and an estimation computation unit that estimates the position and the posture of the pallet by using the plane equation of the front surface of the pallet which is calculated by the plane equation calculation unit. The estimation computation unit calculates a yaw angle, a pitch angle, and a roll angle of the pallet as the posture of the pallet.

Abstract: Embodiments for a terrain following (TF) radar configured for use in an airborne system are generally described herein. In some embodiments, a radar return comprising dual polarimetry radar data is processed to determine a Correlation Coefficient (CC), a Differential Reflectivity (ZDR), and a Specific Differential Phase (KDP). Discriminator logic is applied to the CC, the ZDR and the KDP to determine whether the radar return comprises solely rain. Further signal processing may be performed on the radar return when the radar return does not comprise solely rain. When the radar signal comprises solely rain, the radar return is tagged as a rain return. Applying the discriminator logic may include applying linear and/or quadratic functions to the CC, the ZDR and the KDP to determine whether the radar return comprises solely rain.

Abstract: Embodiments described herein include a system for generating a drainage radius log per well that includes a computing device that receives well data associated with a plurality of wells, utilizes the well production data to calculate a value for cumulative liquid produced by each of the plurality of wells for a predetermined time period, and utilizes at least a portion of the well data to calculate a fractional contribution for each of the plurality of wells. In some embodiments the computing device utilizes the value for cumulative liquid produced for each of the plurality of wells and the fractional contribution to calculate a cumulative liquid production for each of the plurality of wells, utilizes the cumulative liquid production to calculate the drainage radius log for each of the plurality of wells, and outputs the drainage radius log for display.

Abstract: A sunshade device and management system for mitigating the effects of climate change and direct and prolonged exposure to the sun, the sunshade device including a reflective canopy attached to a collapsible web or frame structure. The sunshade device is positioned above the ground by a combination of lifting balloons and positioning machines for managing the elevation, shape and geolocation of the sunshade device. A sunshade management system controls the status of the sunshade device, and can collapse and ground the sunshade in the evening, or during rainy weather, or cloudy days, or when severe weather-related events, such as thunderstorms, tornados, hurricane, etc. are anticipated, and can relaunch the sunshade device when such conditions have passed.

Abstract: The present disclosure models the testing of oilfield electronic equipment that operate in high temperature downhole environments (possibly with large vibrational loading) in order to quantify the damage to the electronic equipment over its expected operational lifetime. The simulated downhole environment is complex and includes coupled random vibration and thermal cycling followed by repeated shock at high temperature. In embodiments, the proposed methods and system measure non-linear damage accumulation of the electronic equipment in this simulated downhole environment.

Abstract: This application relates to an input data generating apparatus for generating forcing data used as input data for a climate change prediction model. In one aspect, the apparatus includes a memory storing instructions and a processor configured to, by executing the instructions, collect new ground type data from land-use harmonization (LUH) data that is restored through history database of the global environment (HYDE) and provided by the coupled model inter-comparison project (CMIP). The processor may also collect existing ground type data calculated by an existing model in a previous phase of the CMIP, generate aggregated ground type data by data-aggregating the new ground type data and the existing ground type data, with priority to the new ground type data. The processor may further generate the forcing data from the aggregated ground type data by performing a distortion correction on a data distortion that occurs during the data aggregation.

Abstract: Volatile organic compounds classification by receiving test data associated with detecting volatile organic compounds (VOCs), analyzing the test data according to a set of data features associated with known VOCs, determining a match between each feature of the test data and a corresponding feature of the set of data features, yielding a set of matches, defining a first degree of anomaly for the test data according to the set of matches, and classifying the test data according to the first degree of anomaly.

Abstract: Provided are embodiments for hydrocarbon reservoir development that include the following: identifying proposed well locations within a reservoir boundary, for each location, developing a well plan by: (a) identifying layers of the reservoir located below the proposed location; (b) iteratively assessing the layers (from deepest to shallowest) to identify a deepest “suitable” layer that is not dry, congested, or unsuitable for gas production; and (c) performing the following for the identified layer and the location: (i) determining a borehole configuration for the location; (ii) determining a completion type for the location; and (iii) determining a stimulation treatment for the location, where a well plan for the location (e.g., for use in developing the reservoir) is generated that specifies some or all of a well location, the target layer, a borehole configuration, a completion type, and a stimulation treatment that corresponds to those determined for the proposed well location.

Abstract: The present disclosure provides an optimization method, a unit, and an electronic device of a shifted frequency (SF)-based electromagnetic transient simulation, comprising: determining a current amplitude and a voltage frequency based on a node voltage and a branch current calculated from a shifted frequency on a basis of a current time step; determining an optimal shifted frequency of the current time step based on the current amplitude and the voltage frequency; and updating the shifted frequency by adopting the optimal shifted frequency of the current time step for calculating a node voltage and a branch current of the next time step. The method, the unit, and the electronic device provided in the present disclosure may gradually update and optimize the shifted frequency in the simulation process so to enable the shifted frequency to reach the best, thus ensuring the accuracy of output current and voltage simulation results.

Abstract: The present invention discloses a method for determining dispersibility, comprising (a) selecting two random points (1-1?) of an electrode material layer, (b) finding a difference ?1 of an absolute value of two voltage values by measuring voltages between the two points (1-1?) in different current directions, (c) selecting two other random points (2-2? to n-n?, where n is an integer that is equal to or greater than 2) that are different from two points selected in the process (a) and, and repeating the processes (a) and (b) at least once to find ?2 to ?n, (d) finding a mean value of differences ?1 to ?n of the absolute values obtained by repeating the process (b) and the process (c), and (e) finding a standard deviation of ?1 to ?n from the mean value.

Abstract: A method for employing a unified semi-supervised deep learning (DL) framework for turbulence forecasting is presented. The method includes extracting historical and forecasted weather features of a spatial region, calculating turbulence indexes to fill feature cubes, each feature cube representing a grid-based 3D region, and building an encoder-decoder framework based on convolutional long short-term memory (ConvLSTM) to model spatio-temporal correlations or patterns causing turbulence. The method further includes employing a dual label guessing component to dynamically integrate complementary signals from a turbulence forecasting network and a turbulence detection network to generate pseudo-labels, reweighing the generated pseudo-labels by a heuristic label quality detector based on KL-Divergence, applying a hybrid loss function to predict turbulence conditions, and generating a turbulence dataset including the predicted turbulence conditions.

Abstract: A time-sharing wave recording method is provided. Firstly, N1 operating variables are selected, and the storage addresses of the N1 operating variables are mapped to N1 index variables. Then, N2 record channels in a sequential relationship are provided, and a mapping relationship between each record channel and the N1 index variables is established. Then, the values of the operating variables are assigned to a first record channel of the N2 record channels in response to a rising edge of a pulse of a clock signal and a start triggering signal, the values of the operating variables are sequentially assigned to the rest of the N2 record channels in response to a rising edge of each pulse of the clock signal and the start triggering signal, and the assigned values of the operating variables for the N2 record channels are recorded to the memory.

Abstract: A method for identifying underperforming agents in a multi-agent cooperative system includes receiving information relating to the performance of each agent in the multi-agent system, calculating an estimated extracted resource value of each agent based on the received information, comparing the estimated extracted resource value of each agent to a threshold value, calculating a performance index based on the comparison and identifying an agent as an under-performing agent based on the performance index.

Abstract: An example computing system may include computer module bays, a power subsystem to supply power to computer modules installed in the computer module bays, and a system controller. The power subsystem may also implement overcurrent protection (OCP) based on an OCP threshold parameter. The system controller may include dynamic OCP adjustment logic that repeatedly updates the OCP threshold parameter during normal operation of the computing system. The dynamic OCP adjustment logic may update the OCP threshold parameter by determining a power requirement of the computing system based on a current configuration of the computing system, determining a new OCP threshold based on the power requirement, and instructing the power subsystem to change a value of the OCP threshold parameter to a new value based on the new OCP threshold.

Abstract: In a method for estimating a voltage of a battery a given electrochemical battery model is provided, wherein one parameter of the electrochemical battery model is an open circuit potential. The open circuit potential is linearized. The voltage of the battery is estimated by means of the electrochemical battery model with the linearized open circuit potential.

Abstract: A method of generating a chemical structure performed by a neural network device includes receiving a target property value and a target structure characteristic value; selecting first generation descriptors; generating second generation descriptors; determining, using a first neural network of the neural network device, property values of the second generation descriptors; determining, using a second neural network of the neural network device, structure characteristic values of the second generation descriptors; selecting, from the second generation descriptors, candidate descriptors that satisfy the target property value and the target structure characteristic value; and generating, using the second neural network of the neural network device, chemical structures for the selected candidate descriptors.