Abstract: A wireline operation method is disclosed. The method includes disposing an outer diameter (OD) meter ring on a wireline, the OD meter ring having spring-loaded sensors, releasing, from a spooling drum into the wellbore, the wireline via a wireline passage having a tight spot, a released portion of the wireline progressively passing through an opening of the OD meter ring, generating, using the spring-loaded sensors, a real time OD measurement of a current location of the wireline passing through the opening of the OD meter ring at the time of measurement, generating, in response to the real time OD measurement of a particular location of the wireline exceeding a pre-determined threshold, a fail-safe signal, and stopping, in response to the fail-safe signal, the spooling drum from continuing to release the wireline before the particular location of the wireline reaches the tight spot of the wireline passage.

Abstract: A computing system and method can be used to implement a version of federated learning (FL) that incorporates adaptivity (e.g., leverages an adaptive learning rate). In particular, the present disclosure provides a general optimization framework in which (1) clients perform multiple epochs of training using a client optimizer to minimize loss on their local data and (2) a server system updates its global model by applying a gradient-based server optimizer to the average of the clients' model updates. This framework can seamlessly incorporate adaptivity by using adaptive optimizers as client and/or server optimizers. Building upon this general framework, the present disclosure also provides example specific adaptive optimization techniques for FL which use per-coordinate methods as server optimizers. By focusing on adaptive server optimization, the use of adaptive learning rates is enabled without increase in client storage or communication costs and compatibility with cross-device FL can be ensured.

Abstract: Systems and methods for processing inputs using attention neural networks. In particular, one or more of the attention layers within the attention neural network compute relative position biases using functional interpolation.

Abstract: An apparatus includes a pocket portion disposed on production tubing, the pocket portion defining a volume therewithin, wherein the volume is in fluid communication with an interior of the production tubing. The pocket portion includes a valve arrangement that permits unidirectional fluid flow between a tubing-casing annulus and the volume. The apparatus also includes a pressure bleeder configured to be selectively mounted within the pocket portion. The pressure bleeder is configured to permit fluid flow between the valve arrangement and the interior of the production tubing only above a predetermined threshold pressure. A related method includes: providing the pocket portion and valve arrangement; mounting the pressure bleeder within the pocket portion; and, with the pressure bleeder, permitting fluid flow between the valve arrangement and the interior of the production tubing only above a predetermined threshold pressure.

Abstract: A system for monitoring tubing during feeding into a conduit includes a collar, a plurality of sensors, and a computer system. The collar is positioned around the tubing. The sensors include ultrasonic transducers and fingers oriented radially inward from the collar. The computer system is configured to measure the outer dimensions and thickness of the tubing using the fingers and ultrasonic transducers respectively as well as trigger alerts based off of the measurements of thickness and outer dimensions of the tubing. The system for monitoring tubing further includes a tubing feed system. The tubing feed system includes tubing, an injector head, and conduit. The injector head feeds the tubing into the conduit under control of the computer.

Abstract: A subsurface safety valve includes an outer housing, a flapper valve disposed within the outer housing, and a motor that pivotally displaces the flapper valve. The subsurface safety valve also includes a battery that powers the motor, a turbine that charges the battery and a wireless receiver that, responsive to a received signal, transmits a signal to the motor to pivotally displace the flapper valve. A related method includes: providing a subsurface safety valve having an outer housing; disposing a flapper valve within the outer housing; providing a motor, a battery, a turbine and a wireless receiver; charging the battery with the turbine; powering the motor with the battery; receiving a signal at the wireless receiver; and responsive to the received signal, transmitting a signal to the motor to pivotally displace the flapper valve.

Abstract: A fuel cell stack is provided comprising membrane electrode assemblies and bipolar plates for supplying the membrane electrode assemblies with operating media and coolant, wherein a first bipolar plate comprises flow pathways having path depths that are different from path depths of corresponding flow pathways of a second bipolar plate. Moreover, a vehicle with a fuel cell system having such a fuel cell stack is provided.

Abstract: A subsurface safety valve includes an outer housing, a flapper valve disposed within the outer housing, and a motor that pivotally displaces the flapper valve. The subsurface safety valve also includes a battery that powers the motor, a turbine that charges the battery and a wireless receiver that, responsive to a received signal, transmits a signal to the motor to pivotally displace the flapper valve. A related method includes: providing a subsurface safety valve having an outer housing; disposing a flapper valve within the outer housing; providing a motor, a battery, a turbine and a wireless receiver; charging the battery with the turbine; powering the motor with the battery; receiving a signal at the wireless receiver; and responsive to the received signal, transmitting a signal to the motor to pivotally displace the flapper valve.

Abstract: Example quantization-based approximate nearest neighbors (ANN) search methods and systems (e.g., search engines) are tuned to perform at the speed-recall pareto frontier. With a desired search cost or recall as input, embodiments employ Lagrangian-based methods to perform constrained optimization on theoretically-grounded search cost and recall models. The resulting tunings, when paired with the efficient quantization-based ANN implementation of the embodiments, exhibit excellent performance on standard benchmarks while requiring minimal tuning or configuration complexity.

Abstract: Generally, the present disclosure is directed to systems and methods that perform adaptive optimization with improved convergence properties. The adaptive optimization techniques described herein are useful in various optimization scenarios, including, for example, training a machine-learned model such as, for example, a neural network. In particular, according to one aspect of the present disclosure, a system implementing the adaptive optimization technique can, over a plurality of iterations, employ an adaptive learning rate while also ensuring that the learning rate is non-increasing.

Abstract: A system includes a rod, a nozzle, a camera, and a pressure control system. The rod has a conduit extending along a rod axis. The rod is disposed adjacent to the barrier within the orifice. The nozzle is connected to the rod and is in hydraulic communication with the conduit and the orifice. The camera is also connected to the rod. The nozzle and the camera are configured to protrude from the rod and rotate about the rod axis. The pressure control system is connected to the tubular body and is disposed around the rod. The nozzle is configured to cut away the portion of the barrier upon pumping of a cutting fluid through a conduit of the rod and out of the nozzle towards the barrier. The portion of the barrier is removable from the orifice of the tubular body once cut away.

Abstract: The present disclosure provides systems and methods for communication efficient distributed mean estimation. In particular, aspects of the present disclosure can be implemented by a system in which a number of vectors reside on a number of different clients, and a centralized server device seeks to estimate the mean of such vectors. According to one aspect of the present disclosure, a client computing device can rotate a vector by a random rotation matrix and then subsequently perform probabilistic quantization on the rotated vector. According to another aspect of the present disclosure, subsequent to quantization but prior to transmission, the client computing can encode the quantized vector according to a variable length coding scheme (e.g., by computing variable length codes).

Abstract: Methods and systems are disclosed. The method includes obtaining a well production dataset for a plurality of wells penetrating a reservoir, where the dataset includes a well production parameter set for each well, and partitioning the dataset into a plurality of training datasets based on a criterion. The method further includes, for each of the plurality of training datasets, training a machine learning (“ML”) network to predict a future hydrocarbon production rate for a candidate well, where the training includes generating a production decline curve using the well production parameter set for well, fitting an empirical model to the production decline curve, and determining the future hydrocarbon production rate for the candidate well based on the model. The method still further includes determining a drilling target, using the trained ML network, for a future production well based on evaluating the future hydrocarbon production rate for each candidate well.

Abstract: Systems and methods for low bias negative sampling of classes according to the sampled softmax method are described herein. The systems and methods can include training a machine-learned model for classifying inputs into one or more classes of a plurality of classes, each of the plurality of classes having an associated class embedding in a plurality of class embeddings. The systems and methods can include selecting, by the one or more computing devices, one or more negative classes from the plurality of classes based at least in part on a probability distribution approximating a softmax distribution, wherein the probability distribution is determined based at least in part on a Random Fourier Features map.

Abstract: A system and a method for clearing debris from the top of plug in a well are provided. In an exemplary system a plug for a well includes a cylindrical body, a sealing ring mounted in the cylindrical body, and a flapper valve disposed against the sealing ring in the cylindrical body. The plug also includes a torsion spring to open the flapper valve when a latch on the flapper valve is disengaged, a receiver to receive control signals, and an actuator controlled by the receiver to disengage the latch.

Abstract: In some examples, a system can include a well integrity management tool includes an identifier, implemented by at least one processor, configured to identify one or more risks associated with a well based on well integrity data, a risk analyzer, implemented by the at least one processor, configured to determine a classification for the well based on a set of one or more identified risks using a risk model, wherein the risk model associates a category and a weight with each identified risk of the set of one or more identified risks, and a remediator, implemented by the at least one processor, configured to generate a remediation plan based on the classification.

Abstract: A system includes a bridge plug for isolating a section of a wellbore. The bridge plug includes a cylindrical body and an engagement assembly mounted to an outer diameter of the cylindrical body and selectively extendible between a recessed position and an extended position. The system further includes a plug assembly for regulating flow through the cylindrical body of the bridge plug. The plug assembly includes a housing connected to the cylindrical body of the bridge plug, a frangible component that creates a seal within the housing, and a pin disposed within the housing and designed to fracture the frangible component.

Abstract: A system includes an equipment platform, an electro-magnetic defectoscopy tool, a signal emitter, a signal receiver, and a computer processor. The equipment platform is formed in a ring-like shape having an orifice of a size large enough to fit a circumference of the wellhead or the casing string within the orifice. The electro-magnetic defectoscopy tool is mounted to the equipment platform. The signal emitter is located in the electro-magnetic defectoscopy tool and is configured to emit a signal towards the orifice of the equipment platform. The signal receiver is located in the electro-magnetic defectoscopy tool and is configured to receive a reflected signal from the wellhead or the casing string. The computer processor is electronically connected to the signal receiver and is configured to receive and use the reflected signal to determine a condition of the wellhead or the casing string.

Abstract: Systems and methods for generating and utilizing artificial intelligence generated badges can include processing web information associated with a subject to determine particular qualities of the subject. The qualities can then be utilized to generate one or more badges. The badges can then be utilized for search result determination and display. The badges may be utilized for search result ranking and may be utilized to annotate search results in a search results interface.

Abstract: A system includes a flow line, a conduit, a turbine, an energy generator, and a chip. The flow line has an outer circumferential surface and an inner circumferential surface and connected to the well. The conduit is delineated by the inner circumferential surface of the flow line. The turbine is disposed in the conduit of the flow line and configured to convert kinetic energy of a fluid, flowing from the well through the conduit, to rotational movement. The energy generator is connected to the turbine and is configured to convert the rotational movement to electrical energy. The chip is connected to the energy generator and configured to use the electrical energy created by the energy generator to send a signal indicating an operational status of the well to a receiver.