Abstract: Methods and systems are disclosed herein for weighting training data for training a machine learning model. A computing system may use performance metrics to weight some training data over other training data. Weighting training data may increase the ability of a machine learning model to train faster and/or train to generate improved output. A portion of the training data may be weighted according to how well a machine learning model performs after being trained on the portion of training data. The computing system may train machine learning models using different data to train each machine learning model. The computing system may compare one or more performance metrics of each machine learning model and assign a weight to each corresponding dataset based on the comparison. The computing system may use the weighted dataset to train a machine learning model.

Abstract: To generate dispersion curves for acoustic waves in a radially layered system, a matrix M containing solutions to the wave equation subject to the boundary conditions of the system is constructed. The reciprocal condition number (RCN) of the matrix M is determined as a function of acoustic wave frequency and slowness. The local minima of the RCN in the frequency-slowness plane produces the dispersion curves corresponding to allowable acoustic modes in the system. A sensitivity analysis which identifies the dispersion curves dependent on a selected parameter. The dispersion curves independent of the perturbed parameters are eliminated by perturbing the modeling parameters and generating the RCN of the perturbed matrix M and then subtracting the RCN values of the unperturbed matrix M, leaving the dispersion curves that exhibit dependence on the selected parameter.

Abstract: Embodiments are directed to the generation of a token associated with a status. The status of the token may affect how the token is treated and the types of restrictions placed on the token. The status of the token may indicate that the token is generated based on verification of secure user data. Alternatively, the status of the token may indicate that the token is generated based on insufficient user data and, as such, restrictions may be imposed on the token. The token requestor may be a mobile application, such as a merchant mobile application provisioned on a user device. In response to a token request from the merchant, the token provider issues tokens with varying status based on a confidence level. The status of the token may be indicated in terms of token assurance level.

Abstract: A natural gas conditioning system for conditioning unconditioned natural gas for use in a gas lift system at a wellbore comprises a series of coolers to receive and cool unconditioned natural gas, and a high-pressure, three-phase separator. The separator receives cooled unconditioned natural gas from the coolers and results in separate flows of conditioned lift gas, waste water and hydro-carbon liquids. The conditioned lift gas can be directed to a first heat exchanger, and the hydro-carbon liquids can be directed to a second heat exchanger. A chiller can be coupled to a third heat exchanger. All the components can be carried by a skid.

Abstract: A sensor system may be used to measure characteristics of an object in a wellbore. The sensor system may include an ultrasonic transducer that generates an ultrasonic wave in a medium of the wellbore and detects a reflection signal of the ultrasonic wave off the object in the wellbore. The sensor system may also include a processing device and a memory device in which instructions are stored. The memory may include instructions that cause the processing device to receive the reflection signal from the ultrasonic transducer, and to truncate and preprocess the reflection signal to generate a truncated reflection signal. The instructions may also cause the processing device to apply time gain compensation to the truncated reflection signal and determine an echo wavelet from the time gain compensated signal representing an echo of the ultrasonic wave off of a wall of the wellbore.

Abstract: A system is provided including a coiled tubing injector including at least two gripper chains for gripping a coiled tubing and a gripper system for generating a gripper force applied to the at least two gripper chains by adjusting gripper pressure on at least one gripper cylinder. A gripper controller is configured to determine a minimum gripper pressure and a maximum gripper pressure for the gripper cylinders, based on a current set of parameters related to lowering the coiled tubing into a wellbore or pulling out the coiled tubing from the wellbore. The gripper controller selects a target gripper pressure between the minimum gripper pressure and the maximum gripper pressure based on a historical data model and sets the target gripper pressure for the at least one gripper cylinder.

Abstract: A well treatment fluid comprising an aqueous base fluid and a wettability modifier, and a method using the well treatment fluid. The wettability modifier includes an alkylamine oxide surfactant, and an organic compound having a phosphonoalkyl moiety. As an example, the well treatment fluid is suitable for treating oil-wet formations.

Abstract: Disclosed herein are system, apparatus, article of manufacture, method, and/or computer program product embodiments for monitoring long-standing computing resources. An apparatus may operate by receiving a cloud monitoring notification, where the cloud monitoring notification may indicate an occurrence of a monitored condition. The apparatus may then operate by scanning a cluster computing system for resource having a client assigned resource identifier and a computing resource attribute based on a resource identifier scan parameter and a resource attribute scan parameter. The apparatus may further operate by generating a resource notification request based on the scanning of the cluster computing system and transmitting the resource notification request to a communications system to notify a user that the resource has a computing resource attribute that match the resource attribute scan parameter.

Abstract: An automated teller machine (ATM) may include an input component and one or more processors. The input component may be configured to detect multi-factor input associated with an account. The multi-factor input may include at least two of: a sequence of characters input via the input component, a force with which at least one character, of the sequence of characters, is input via the input component, a length of time over which at least one character, of the sequence of characters, is input via the input component, or a combination of at least two characters, of the sequence of characters, that are input concurrently via the input component. The ATM may receive the multi-factor input, validate the multi-factor input in association with the account, and selectively permit or deny access to one or more actions associated with the account based on validating the multi-factor input.

Abstract: A toll transponder may receive transaction card data identifying a transaction card associated with a transaction account. The toll transponder may provide to a toll server device, and via a toll antenna of a toll collection system, a request for a transaction amount for a vehicle toll, and may receive a response requesting authorization for payment of the transaction amount. The toll transponder may determine, based on the response, an authorization request cryptogram for payment of the transaction amount, and generate an encrypted signal identifying the authorization request cryptogram, the transaction card data, and a toll transponder identifier identifying the toll transponder. The toll transponder may provide the encrypted signal to the toll server device via the toll antenna, and may receive from the toll server device, via the toll antenna, data indicating whether the transaction amount for the vehicle toll is approved.

Abstract: The disclosure relates to a method and a system for sequencing asset segments of privacy policy using optimization techniques. The asset segments are sequenced based on several constraints associated with preferences of a source entity and a target entity. Further the disclosure also determines a target entity violation factor that represents a conflict between the preferences associated with the source entity and the target entity. In an embodiment the disclosed method and system optimally sequences the plurality of asset segments using several optimization techniques that include a basic sequence generation technique, a source entity sequence optimizing technique and a target entity sequence optimizing technique considering constraints. Hence the disclosure bridges a communication gap between several stakeholders by optimally displaying the most relevant privacy policy (mapped to the asset segments) considering the constraints or preferences associated with both the source entity and the target entity.

Abstract: Estimating Remaining Useful Life (RUL) from multi-sensor time series data is difficult through manual inspection. Current machine learning and data analytics methods, for RUL estimation require large number of failed instances for training, which are rarely available in practice, and these methods cannot use information from currently operational censored instances since their failure time is unknown. Embodiments of the present disclosure provide systems and methods for estimating RUL using time series data by implementing an LSTM-RNN based ordinal regression technique, wherein during training RUL value of failed instance(s) is encoded into a vector which is given as a target to the model. Unlike a failed instance, the exact RUL for a censored instance is unknown. For using the censored instances, target vectors are generated and the objective function is modified for training wherein the trained LSTM-RNN based ordinal regression is applied on an input test time series for RUL estimation.

Abstract: A system and method are provided for generating access tokens on a user device rather than via a remote server computer. An access token can be generated on a second user device by combining and encrypting, with format preservation, a primary access identifier, variable value, and salt. The resulting value can be provided to a first user device that can subsequently can provide the access token to an access device as part of an interaction. The access device can generate an authorization request message that comprises the access token and transmit it to a remote server computer for processing. The remote server computer can process the access token to determine the primary access identifier despite not being involved in the generation of the access token, providing an improvement over conventional tokenization methods.

Abstract: A system and method for preventing fraudulent credit card or debit card transactions by coupling a smart phone to the credit card or the debit card, and transmitting identification information from the smart phone to the card. The card is normally disabled such that no transaction may take place unless the card is enabled. The card receives the transmitted identification information and compares that information to corresponding information stored on the card. If the received information matches the stored information, the card is enabled thus allowing the transaction to take place.

Abstract: A method of treating a well comprising introducing a well treatment fluid into the well, and a well treatment fluid, are provided. The well treatment fluid comprises an aqueous base fluid, sepiolite clay, and a polymer component selected from the group of an acryloylmorpholine polymer, a polyvinylpyrrolidone polymer, and mixtures thereof. In one embodiment, for example, the method is a method of drilling a well. In this embodiment, the well treatment fluid is a drilling fluid.

Abstract: In some implementations, a data cleaning platform may determine a respective entity key for each data record in a cleansed dataset based on a combination of fields, in each data record, that contain information that uniquely identifies an entity associated with a respective data record. The data cleaning platform may generate a delta dataset based on a set of uncleansed data records related to transactions that occurred after a time when the cleansed dataset was first generated. For example, in some implementations, each uncleansed data record in the delta dataset may be associated with a corresponding entity key based on the combination of fields. The data cleaning platform may perform a data join to update the cleansed dataset to include data records related to the transactions that occurred after the time when the cleansed dataset was first generated.

Abstract: Provided is a method for configuring a gateway. The method may include a gateway monitoring current version data stored on at least one first server. The current version data may be associated with a current version of a configuration file. The first server may be remote from the gateway. The current version data may be modified at the first server. In response to the gateway determining that the current version data stored on the first server has been modified, a configuration service may be invoked to retrieve the current version of the configuration file from at least one repository based on the current version data. The repository may include at least one second server remote from the gateway and the first server. The gateway may store a copy of the current version of the configuration file retrieved by the configuration service. A system and computer program product are also disclosed.

Abstract: A wellbore assembly can include a completion string having a side pocket. A downhole device can be positioned within the side pocket of the completion string. The downhole device can have a first end sized and shaped for coupling to a tool for inserting and removing the downhole device in the side pocket while the completion string is positioned downhole in a wellbore. The downhole device can be an electronic device.

Abstract: In certain embodiments, an online transaction is verified based on merchant-independent user geolocation. A geolocation of a user associated with the online transaction is obtained from a mobile device of the user by a transaction verifying entity separate and independent from a merchant entity with which the online transaction is initiated. A server associated with the transaction verifying entity determines a proximity of the geolocation of the user to a delivery address for verifying the online transaction. The server generates a verification message including an approval message based on the proximity of the geolocation to the delivery address being within a specified threshold. The server generates a verification message including a rejection message based on the proximity of the geolocation to a delivery address exceeding the specified threshold. The server sends the verification message to another server associated with the merchant entity to carry out the online transaction accordingly.