Abstract: Implementations described and claimed herein provide systems and methods for a framework to achieve completion optimization for waterflood field reservoirs. The proposed methodology leverages adequate data collection, preprocessing, subject matter expert knowledge-based feature engineering for geological, reservoir and completion inputs, and state-of-the-art machine-learning technologies, to indicate important production drivers, provide sensitivity analysis to quantify the impacts of the completion features, and ultimately achieve completion optimization. In this analytical framework, model-less feature ranking based on mutual information concept and model-dependent sensitivity analyses, in which a variety of machine-learning models are trained and validated, provides comprehensive multi-variant analyses that empower subject-matter experts to make a smarter decision in a timely manner.

Abstract: Implementations described and claimed herein provide systems and methods for dynamic waterflood forecast modeling utilizing deep thinking computational techniques to reduce the processing time for generating the forecast model and improving the accuracy of resulting forecasts. In one particular implementation, a dataset of a field may be restructured into the spatio-temporal framework and data driven deep neural networks may be utilized to learn the nuances of data interactions to make more accurate forecasts for each well in the field. Further, the generated model may forecast a single time segment and build the complete forecast through recursive prediction instances. The temporal component of the restructured data may include all or a portion of the production history of the field divided into spaced time intervals. The spatial component of the restructure data may include, within each epoch, a computed or estimated spatial relationships of all existing wells.

Abstract: Systems and method for predicting production decline for a target well include generating a static model and a decline model to generate a well production profile. The static model is generated with supervised machine learning using an input data set including historical production data, and calculates an initial resource production rate for the target well. The decline model is generated with a neural network using the input data and dynamic data (e.g., an input time interval and pressure data of the target well), and calculates a plurality of resource production rates for a plurality of time intervals. The system can perform multiple recursive calculations to calculate the plurality of resource production rates, generating the well production profile. For instance, the predicted resource production rate of a first time interval is used as one of inputs for predicting the resource production rate for a second, subsequent time interval.

Abstract: An antenna for a wireless communication device, such as a Wi-Fi access point is provided. The antenna includes an electrically conductive radiation structure including a plurality of radially extending radiation slots, each of which has an open outer end at a perimeter of the electrically conductive radiation structure and defines a respective radiation portion of the electrically conductive radiation structure. The antenna includes a feeding network configured to feed an RF signal to the electrically conductive radiation structure, the feeding network includes a plurality of feeding arms configured to feed the RF signal into each radiation portion of the electrically conductive radiation structure for exciting each radiation portion to emit electromagnetic waves.

Abstract: Methods, computer program products, and/or systems are provided that perform the following operations: obtaining pre-check data associated with specified data nodes; calculating outliers for each specified data node, wherein the outliers are calculated based on a unit of the pre-check data associated with each specified data node; backtracking the calculated outliers for each specified data node through an associated generating data link; selecting one or more data nodes associated with a set of largest outliers; selecting one or more data links associated with the set of largest outliers; and generating potential anomaly indications based on the one or more data nodes selected and the one or more data links selected.

Abstract: A method, computer program product and computer system to provide topic guide during document drafting is provided. A processor retrieves at least one section of text from a document. A processor receives a target topic for the document. A processor extracts at least one local topic from the at least one section of text. A processor generates a semantic network comprising the at least one local topic and the target topic. A processor determines a deviation value for the at least one local topic based on a distance between the at least one local topic and the target topic in the semantic network. A processor, in response to the deviation value exceeding a threshold value, alerts a user that the at least one section of text from the document is off-topic from the target topic.

Abstract: A method, computer program product, and computer system for repairing a Dockerfile. Library versions containing initial version numbers of libraries are extracted from the Dockerfile. A Monte Carlo tree search (MCTS) is executed, using the extracted library versions as input, which generates a tree that includes multiple levels populated with noses. Each node in a level represents the generic library name of a library version in the Dockrerfile and an associated randomly selected version number. At least one of the randomly selected version numbers associated with at least one node in a level differs from the initial version number associated with a versionf. A best successful installation path is selected from the at least one successful installation path. The Dockerfile is repaired by inserting randomly selected version numbers into Dockerfile as replacements for some of the initial version numbers.

Abstract: The application relates to a device control method and apparatus, a storage medium, a processor, and a terminal. A device has a WIFI module for WIFI connection and a Bluetooth module for Bluetooth connection. The device control method includes: acquiring a network module status of the device, wherein the network module status indicates whether the WIFI module or Bluetooth module of the device is enabled; if the WIFI module and the Bluetooth module are enabled, detecting wireless data packet features in a wireless network environment where the device is located; and controlling the device according to the detected wireless data packet features so that one of the WIFI module and the Bluetooth module is enabled and the other one of the WIFI module and the Bluetooth module is disabled. The technical solution of the application causes a WIFI and Bluetooth dual-mode device to intelligently select an operating mode, and avoids interference caused by the coexistence of radio frequency signals.

Abstract: Reducing an average give-away rate of a weighing device by determining a weight of a product of a weighing device that includes an article, determining one or more conditions of an environment of the weighing device, determining a state of the environment of the weighing device, wherein the state relates to an average give-away rate of the environment of the weighing device, determining a reward value for the state of the environment of the weighing device, wherein the reward value is based at least in part on the weight of the product, and generating a set of parameters for the weighing device based at least in part on the environment, the state, and the reward.

Abstract: Methods, computer program products, and/or systems are provided that perform the following operations: obtaining pre-check data associated with specified data nodes; calculating outliers for each specified data node, wherein the outliers are calculated based on a unit of the pre-check data associated with each specified data node; backtracking the calculated outliers for each specified data node through an associated generating data link; selecting one or more data nodes associated with a set of largest outliers; selecting one or more data links associated with the set of largest outliers; and generating potential anomaly indications based on the one or more data nodes selected and the one or more data links selected.

Abstract: A method for identifying a reef-shoal reservoir in a faulted lacustrine basin based on a basement structure-paleogeomorphology-seismic facies progressive constraint, including: analyzing a basement structure of a work area; establishing a paleogeomorphology classification standard according to thickness, reflection structure and stratigraphic dip; based on well-seismic calibration and forward modeling, establishing a seismic facies classification standard for reef-shoal facies belts under different paleo-geomorphic conditions, and quantitatively predicting and describing a reservoir in the reef-shoal facies belts using seismic facies-controlled inversion; and according to analysis results of basement structure characteristic, paleogeomorphology classification and seismic facies, establishing a method for predicting a favorable reservoir.

Abstract: An antenna has a reflector and an active element. The reflector includes a multi-segment metal structure having a length within a first value range. The multi-segment metal structure includes a first metal structure connected to a second metal structure. A PIN diode is disposed on the first metal structure. The first metal structure is parallel to a polarization direction of the active element. The second metal structure is perpendicular to the first metal structure.

Abstract: A method, system, and computer program product for implementing automated pressure level detection and correction is provided. The method includes retrieving from sensors, measurement attributes associated with geological conditions occurring during a mining process. Subsequently, threshold levels configured to activate an alarm associated with measurement attributes exceeding the threshold levels are determined and code is executed with respect to the threshold levels. A combined threshold severity level associated with the safety threshold levels is determined and code is executed with respect to the safety threshold levels. A combined clustering level associated with the safety threshold levels is determined and a difference value between the combined threshold severity level and combined clustering level is generated.

Abstract: An antenna device includes a plurality of dipole antennas and a port. Each of the dipole antennas is connected to the port. The dipole antennas are arranged around the port. Each of the dipole antennas comprises two ends. The device further includes a plurality of passive elements. The ends of the dipole antennas and the passive elements are interchangeably arranged around the port such that each of the passive elements is situated between ends of two different antennas from the plurality of dipole antennas. One or more switches are configured to switch between an omnidirectional state, in which the ends of the dipole antennas are not connected to the plurality of passive elements, and a directional state, in which at least one end of one of the passive elements is connected to at least one end of one of the antennas.

Abstract: Described are techniques for determining statistical properties of time series data. The techniques include a method comprising graphing, from time series data, a time series data graph. The method further comprises iteratively segmenting the time series data graph into respective pluralities of subgraphs using respective segmentation schemes until a first plurality of subgraphs generated by a first segmentation scheme exhibits a similarity between respective subgraphs of the first plurality of subgraphs satisfying a similarity threshold. The first segmentation scheme can be selected from: an equidistant segmentation scheme, a local extrema segmentation scheme, and a windowed segmentation scheme. The method further comprises associating a classification to the time series data based on the first segmentation scheme. The classification can be indicative of one selected from: stationarity of the time series data, periodicity of the time series data, and trending of the time series data.

Abstract: The application relates to a device control method and apparatus, a storage medium, a processor, a terminal, and a computer program product.

Abstract: A directional antenna and a communication device are provided in this disclosure. The directional antenna includes a first element, a second element and a first reflector. An operating frequency band of the first element is a first frequency band, and an operating frequency band of the second element is a second frequency band. An equivalent electrical length of the first reflector is equal to or slightly greater than one half of the wavelength of the first frequency band. The first reflector includes a first resonant circuit, the first resonant circuit includes a first capacitive part and a first inductive part that are connected in parallel. A resonance frequency of the first resonant circuit is within the second frequency band, and an equivalent electrical length of any part other than the first resonant circuit in the first reflector is less than one half of the wavelength of the second frequency band.

Abstract: An antenna device includes a plurality of dipole antennas and a port. Each of the dipole antennas is connected to the port. The plurality of dipole antennas is arranged around the port. Each of the plurality of dipole antennas includes two ends. The ends of the dipole antennas are arranged in a plurality of pairs. Each pair includes one end of one of the dipole antennas and one end of another one of the dipole antennas. The two ends in each pair are arranged in proximity to each other. One or more switches are configured to switch between (1) an omnidirectional state, in which the ends of the dipole antennas are not connected to each other; and (2) a directional state, in which the two ends in each of one or more of the pairs are connected to each other.

Abstract: A method of data transmission includes: receiving a first packet, where the first packet includes first compressed data and a first check value, the first compressed data is obtained by compressing first data based on a first compression mode, the first check value is obtained by processing a second check value based on a first check algorithm, the second check value is obtained by processing the first compressed data based on a second check algorithm; obtaining a first check code by processing the first packet based on a third check algorithm; determining, according to a correspondence between the first check code and the first compression mode, that the first compression mode is a compression mode used when the first data is compressed; and obtaining the first data by decompressing, based on a first decompression mode corresponding to the first compression mode, the first compressed data included in the first packet.

Abstract: Aspects of the subject technology relate to a shaker module for an electronic device. The shaker module may include a movable component that is resiliently suspended in relation to a voice coil by one or more gap-separated pairs of the flat springs. The flat springs reduce the z-height of the shaker module for implementation in, for example, compact electronic devices. The gap-separated pairs of flat springs facilitate adjustment of the resonance frequency of the shaker module substantially independently of adjustments to drop performance, while providing stability against unwanted rocking motions of the movable component.