Abstract: A unit trench capacitor in a substrate includes one or more trenches in the substrate, a dielectric layer, a first electrode and a second electrode. Walls of the one or more trenches are covered by the dielectric layer which separates the first electrode from the second electrode. Each trench follows a closed curve. The closed curve of each trench has one or more elongated parts in directions in which the substrate has a maximum elastic modulus, or the closed curve of each trench has a circular shape if the substrate has an isotropic elastic modulus.

Abstract: A method may include receiving, by a software application that may execute on a mobile device associated with an individual operating a vehicle, operational data associated with operation of the vehicle. The method may also include predicting, by the software application, one or more activities that the individual is expected to perform with respect to operation of the vehicle based at least in part on the operational data, and providing, by the software application via the mobile device, an indication of a recommendation to perform the one or more activities.

Abstract: Disclosed embodiments relate to a pulsed-power drilling system, in which a pulsed-power drill is conveyed downhole and operated via coiled tubing. The coiled tubing may be configured to simultaneously transmit power and drilling fluid downhole. For example, the coiled tubing may include a flexible hollow fluid tube configured to transport drilling fluid therein, and a flexible cable tube disposed within the fluid tube. The cable tube may have one or more cable disposed within protective tubing, protecting the cables from drilling fluid in the fluid tube. Methods of making and using such coiled tubing with pulsed-power drills are also disclosed.

Abstract: A ratiometric system for autonomous lubrication of oilwell production equipment. In one arrangement a lubrication pump is fluidly connected to a stuffing box on an oilwell pumping unit. The interval for lubrication and the duration of lubrication is managed by an event sequencer that is electrically connected to the well controller for the pumping unit. The well controller senses a completed cycle of the pumping unit and produces an electronic pulse that can be counted. The event sequencer counts the pulses as they occur. A lubrication cycle is triggered when the sequencer reaches a count corresponding to a predetermined value. The amount of lubrication supplied is directly related to the number of completed cycles of the pumping unit.

Abstract: Systems and methods for architecture embeddings for efficient dynamic synthetic data generation are disclosed. The disclosed systems and methods may include a system for generating synthetic data configured to perform operations. The operations may include retrieving a set of rules associated with a first data profile and generating, by executing a hyperparameter search, a plurality of hyperparameter sets for generative adversarial networks (GANs) that satisfy the set of rules. The operations may include generating mappings between the hyperparameter sets and the first data profile and storing the mappings in a hyperparameter library. The operations may include receiving a request for synthetic data, the request indicating a second data profile and selecting, from the mappings in the hyperparameter library, a hyperparameter set mapped to the second data profile. The operations may include building a GAN using the selected hyperparameter set and generating, using the GAN, a synthetic data set.

Abstract: A method for configuring a learning machine to predict a flow rate of at least one phase of a fluid. The method comprises determining a feature set for the learning machine, the feature set including information derived from a signal generated by a flow of the fluid interacting with a fluidic oscillator in a wellbore. The method comprises configuring the learning machine with the feature set including information derived from the signal.

Abstract: A method for determining flow information of a well producing fluid from a subsurface formation comprising. The method comprises obtaining at least one first production measurement from the well. The method comprises obtaining, with a sensor, a first measurement generated by the fluid flowing through a device. The method comprises inputting the first measurement and the at least one first production measurement into a virtual flow meter. The method comprises determining, via the virtual flow meter, a multi-phase flow rate of the fluid based on the first measurement and the at least one first production measurement.

Abstract: Provided is a method for providing product data to a user. The method may include receiving query data associated with a plurality of queries of a database by a user. A classification for at least two queries of the plurality of queries may be determined. A product associated with the classification of the at least two queries may be determined. A potential revenue associated with the product may be calculated based on the user. A probability that the user will purchase the product may be calculated. A score may be calculated based on the potential revenue and the probability that the user will purchase the product. Product data associated with the product may be transmitted to the user if the score exceeds a threshold. A system and computer program product are also disclosed.

Abstract: In some implementations, a remediation device may receive, from a database that stores information regarding security vulnerabilities, security vulnerability indicators associated with one or more cloud-based applications. The remediation device may cluster, using at least one machine learning model, the security vulnerability indicators into classes, and may determine, for each class, a corresponding remediation recommendation. The remediation device may transmit, based on a setting, a corresponding message for each class. The remediation device may receive input associated with at least one of the corresponding messages, and may trigger, for at least one of the classes of security vulnerability indicators and based on the input, an automated remediation script based on a corresponding one of the remediation recommendations. The automated remediation script causes a cloud environment to perform an action for a cloud-based application associated with the security vulnerability indicators in the class(es).

Abstract: In one example, a method of designing a drill bit comprises obtaining a baseline orientation of a shaped cutter with respect to a bit body. The shaped cutter includes a shaped cutting element secured to a substrate. The baseline orientation is defined, at least in part, with respect to an rotational position of the shaped cutting element about a longitudinal axis of the shaped cutter. A wear imbalance is determined between opposing portions of the shaped cutting element at the baseline orientation. An adjusted orientation of the shaped cutter is generated having a different rotational position of the shaped cutting element about the cutter axis expected to reduce the wear imbalance.

Abstract: An apparatus to be positioned in a geothermal wellbore formed in a subsurface formation. The apparatus comprises one or more components to inject a supercritical fluid into the subsurface formation. The apparatus comprises a flow control assembly configured to control flow of the supercritical fluid into the geothermal wellbore based on a density of the supercritical fluid in the subsurface formation.

Abstract: This invention relates to recombinant nucleic constructs comprising a DNA binding domain, an endonuclease and a reverse transcriptase and methods of use thereof for modifying nucleic acids in plants.

Abstract: A system for modeling a roof of a structure comprising a first database, a second database and a processor in communication with the first database and the second database. The processor selects one or more images and the respective metadata thereof from the first database based on a received a geospatial region of interest. The processor generates two-dimensional line segment geometries in pixel space based on two-dimensional outputs generated by a neural network in pixel space of at least one roof structure present in the selected one or more images. The processor classifies the generated two-dimensional line segment geometries into at least one contour graph based on three-dimensional data received from the second database and generates a three-dimensional representation of the at least one roof structure based on the at least one contour graph and the received three-dimensional data.

Abstract: Systems and methods for a novel architecture to support always-on applications and/or models suffering drift in their results. The system may comprise one or more servers that are configured to track the historical behavior of incoming request data for a model and/or redirect the request as needed using parallel data domains. The one or more servers may maintain and update a catalog of potential data domains that partitions the historically received data. One partition may comprise data output from a current model. Another partition may comprise detected outliers in the data. In the case of drift, outliers, and/or anomalies in the incoming data, the system may return an error signal that causes data to be duplicated into a new data domain.

Abstract: In some embodiments, validation of a network operation based on screenshot-derived uniform resource locator (URL) data may be facilitated. In some embodiments, in connection with use by a user of a first token associated with a first entity, user activity data associated with the user may be stored in a database in association with the first token. In some embodiments, the first user activity data may comprise first URL data and first timestamps associated with the first URL data. After the storage of the first user activity data, a first action request for a first action involving use of the first token may be obtained. A validation process may be performed on the first action by performing a first query of the database for user activity data based on the first action request.

Abstract: A method includes receiving a first encrypted first identity attribute. A first doubly encrypted first identity attribute is formed by encrypting the first encrypted first identity attribute. A second doubly encrypted first identity attribute is formed by encrypting the first encrypted first identity attribute. They are transmitted to a user device, which removes a user layer of encryption on each to form a second encrypted first identity attribute and a third encrypted first identity attribute. Layers of encryption are added to the second encrypted first identity attribute to form a third doubly encrypted first identity attribute and the third encrypted first identity attribute to form a fourth doubly encrypted first identity attribute. The server computer receives them and transmits, to the second identity provider computer, the fourth doubly encrypted first identity attribute. The second identity provider computer obtains a first identity attribute and compares it to a second identity attribute.

Abstract: A method including reacting carbon dioxide from exhaust gas produced at a wellsite to produce a solid metal carbonate, and microwaving the solid metal carbonate to produce recovered carbon dioxide and solid metal alkaline. A system for carrying out the method is also provided.

Abstract: A variety of methods and apparatus are disclosed, including, in one embodiment, an apparatus comprising a downhole tool for use in a borehole, the downhole tool comprising a composite of thermoplastic and fibers, wherein the fibers reinforce the thermoplastic, and wherein fiber placement gives the composite as favoring the hoop strength over the axial strength.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, to process audio and visual data. One of the methods includes receiving, from a mobile device, image data and audio data, wherein the image data and audio data were obtained within the same time frame. The method includes processing the image data to identify a first set of facts. The method includes processing the audio data to identify a second set of facts. The method includes processing meta-data associated with the image data to identify a third set of facts. The method also includes performing at least one process using the first set of facts, the second set of facts, and the third set of facts.

Abstract: Methods and systems are described herein for generating group definition sequences for accounts (e.g., user accounts) using action sequence processing and then classifying accounts using those group definition sequences. A plurality of user account actions and corresponding time that each action was taken may be received and based on that information, a sequence of action types sometimes referred to as a time-ordered dataset of action types (e.g., based on a chronological order of the actions) may be generated. The time-ordered dataset of action types may be compared with known time-ordered sequences for a particular user group or user classification. If the time-ordered dataset of action types matches the time-ordered sequences of the particular user group, the user may be classified into that user group.