Abstract: A system and method of operating a system for automatically punctuating text using non-recurrent neural networks is disclosed. The system and method at least: applying a text string to a first component of a non-recurrent neural network trained to generate one or more contextualized vectors, wherein the first component determines the contextualized vectors by processing each word in the text string in parallel with one another; applying the contextualized vectors to a second component of the non-recurrent neural network trained to generate a set of probability values for each word in the text string, wherein the second component determines the set of probability values by processing the contextualized vectors in parallel with one another; and transmitting the set of probability values to a text generation engine to generate a formatted text string based on the set of probability values.

Abstract: Included are cement compositions and methods and systems for locating the cement compositions in a wellbore. An example method comprises deploying a sensing system in the wellbore and introducing the cement composition into the wellbore. The cement composition comprises a cement and hollow beads having a crush pressure and configured to emit an acoustic signal when imploded. The method further comprises pumping the cement composition through the wellbore to a depth with a wellbore pressure exceeding the crush pressure of the hollow beads to induce implosion of the hollow beads and the emission of the acoustic signal. The method further comprises sensing the emitted acoustic signal and determining the location of the cement composition in the wellbore from the sensed emitted acoustic signal.

Abstract: Methods and systems of reducing lost circulation in a wellbore are provided. An example method includes providing a pozzolan slurry comprising a pozzolanic material and water; and providing a calcium slurry comprising a calcium source, a high pH activator, and water. The method further comprises allowing the pozzolan slurry and the calcium slurry to remain separate; wherein at least one of the pozzolan slurry and the calcium slurry comprise a thixotropic material; wherein at least one of the pozzolan slurry and the calcium slurry comprise a dispersant; wherein at least one of the pozzolan slurry and the calcium slurry comprise a weighting agent. The method additionally comprises mixing the pozzolan slurry and the calcium slurry to form a two-part thixotropic lost circulation slurry after the allowing the pozzolan slurry and the calcium slurry to remain separate.

Abstract: Systems and methods for determining the composition of a drilling fluid using electro-rheology may be provided. A method for drilling a wellbore may include: circulating a drilling fluid in a wellbore; extending the wellbore into one or more subterranean formations; measuring impedance of at least a portion of the drilling fluid over time as one or more particulate additives in the drilling fluid settle; determining one or more model elements of an equivalent circuit model for modeling frequency responses of the drilling fluid from the impedance; and determining sag behavior of the drilling fluid based, at least partially, on the one or more model elements.

Abstract: The invention concerns an apparatus and a method for a personal device. The device comprises at least one processor with at least one processing core, at least one display, at least one sensor, at least one memory including a computer program code. The apparatus determine the location of the apparatus by means of a sensor providing location information to said at least one processing core and transmits a query to a thematic map database server. The apparatus is then updated with thematic maps related to the location by downloading thematic map data and storing the thematic map data in a memory. The user is presented on a display in a first display mode with least one downloaded thematic map as one of a suggested activity.

Abstract: Certain embodiments of the present application relate to a variable frequency drive (VFD) cabin for a pump configuration including a mobile trailer on which the VFD cabin is to be mounted. The VFD cabin generally includes a medium-voltage VFD and a ventilation system. In certain embodiments, the ventilation system is configured to generate an overpressure condition within the cabin to discourage the entry of dust and debris into the cabin. In certain embodiments, one or more components of the medium-voltage VFD are coupled to the floor of the cabin via a vibration damping system. In certain embodiments, the VFD cabin may be directly coupled to a chassis of the mobile trailer without an intervening suspension being provided between the VFD cabin and the chassis.

Abstract: A content item can be produced at a first system in segments, and some or all of the content item can be transferred to second systems, via transfer of produced segments of the content item. Content preferences, database configuration and playback schedules can be configured with a remote media content processing system. This information is then transferred from the remote media content processing system to one or more other remote media content processing systems. This transferred information provides a configuration for segmented WANcasting of a content items from one or more remote media content processing systems until the content item is complete.

Abstract: Techniques are described for generating metric(s) that predict survey score(s) for a service session. Model(s) may be trained, through supervised or unsupervised machine learning, using training data from previous service sessions between service representative(s) and individual(s). Training data may include, for previous service session(s), a session record (e.g., audio record) of the session and a set of survey scores provided by the serviced individual to rate the session on one or more criteria (e.g., survey questions). The model(s) may be trained to output, based on an input session record, metric(s) that each correspond to a survey score that would have been provided by the individual had they completed the survey. The model may be a concatenated model that is a combination of a language model output from a language classifier recurrent neural network, and an acoustic model output from an acoustic feature layer convolutional neural network.

Abstract: The disclosure provides methods of measuring an intrinsic CO ratio in a geological formation by disposing, proximate the formation, a petrophysical tool including at least one gamma-ray detector, reading a carbon gamma-ray peak for the geological formation and an oxygen gamma-ray peak for the geological formation, determining a measured CO ratio of the geological formation from the carbon gamma-ray peak and the oxygen gamma-ray peak, and correcting the measured CO ratio by applying a corrective algorithm specific for the petrophysical tool or the type of petrophysical tool to obtain an intrinsic CO ratio of the geological formation. The corrective algorithm is derived by a mathematical analysis of measured CO ratios of a sample with a known intrinsic CO ratio using the same petrophysical tool or a petrophysical tool representative of a same type of petrophysical tool. Additional methods and systems using this method are provided.

Abstract: Embodiments described herein disclose methods and systems for using more than one Recurrent Neural Network (RNN) to analyze a user input and to predict a request being made by the user as the user is inputting the request. In an embodiment, a first RNN and a second RNN can simultaneously or near simultaneously process the user requested information by separating and analyzing the characters and words in the user's request. A third RNN can process the output vectors generated by the first and second RNNs to identify one or more solutions that predict the user's request.

Abstract: A security object management system may include a management module including a device processor and a non-transitory computer readable medium including instructions stored thereon, and executable by the processor, for performing the following steps: accessing a database having stored therein data regarding a plurality of security objects, wherein the data includes ownership data regarding the assignment of rights associated with the security objects; and receiving user input to change the reassignment of rights of at least one of the security objects from one user to another user of the system.

Abstract: A system and method for providing an audible explanation of documents upon request is disclosed. The system and method use an intelligent voice assistant that can receive audible requests for document explanations. The intelligent voice assistant can retrieve document summary information and provide an audible response explaining key points of the document.

Abstract: Traditional cognitive load estimation techniques rely on raw pupil size alone which is often prone to confound with changes in illumination, errors associated with sensor devices and irregular oscillations of pupil under constant light conditions. Estimation of cognitive load finds application in many domains including optimum work allocation, assessing a work environment and medical diagnosis. The present disclosure employs frequency domain analysis of pupil size variations to estimate load imposed by a cognitive task. A cognitive load metric based on power and frequency relations at mean frequency of the variation in pupil size addresses cognitive load estimation based on pupil dilation, wherein the pupil dilation is captured by employing low cost non-intrusive nearables.

Abstract: The systems and methods described herein are be used in controlling an injection treatment. An electric pump is used to provide variable modulation of the flow rate of a treatment fluid. Modulating the flow rate in real-time provides pressure diagnostics that can be used to improve fracture growth parameters, wellbore conditions, and well performance. A method of stimulating a wellbore, comprises of injecting, by an electric pump, one or more fluids downhole into the wellbore; producing, based on the one or more injected fluids, one or more fractures that extend from the wellbore into a subterranean formation; receiving, by one or more sensors, one or more measurements; modulating an injection flow rate of the one or more injected fluids; evaluating fracture growth parameters of the one or more fractures; and adjusting fracture complexity of the one or more fractures based on the evaluation of the fracture growth parameters.

Abstract: Provided is a natural language processing system for determining a merchant based on a natural language query. The system may include a processor to receive a natural language query, convert at least one word of the natural language query to a vector using at least one neural network to form a set of vectors, determine a vector distance from the set of vectors to each profile in a set of profiles, rank the set of profiles based on the vector distance of each profile to the set of vectors, communicate merchant data associated with at least one merchant included in the set of profiles to the user device, receive a selection of a first merchant associated with the merchant data from the user device, and schedule an appointment with the first merchant for a user of the user device. A computer program product and method are also disclosed.

Abstract: In some embodiments, a product includes a card having a front face, a back face and a payment-enabling mechanism, where the front face is opposite to the back face. Account information is disposed on the front face, the back face, or both, in a tactile writing system, as well as one or more card identification texture strips. The one or more card identification texture strips each comprise at least one region having a texture pattern different from a base texture of the card, where the texture pattern comprises a roughness texture pattern, and where the texture pattern is unique to an issuer of the card.

Abstract: To reduce As difficulties associated with sub-site collaboration in hydrocarbon recovery, exploration, operation, or services environments, on-site collaboration between users is provided by including a multi-location virtual collaboration and monitoring system that enables multi-location virtual collaboration, monitoring, and data sharing, between users at sub-sites In hydrocarbon recovery, exploration operation, or services environments. A user may access real-time and stored data using one or more wearable or portable devices. Further, a user may configure data provision and data provision preferences for consumption of data In a variety of formats.

Abstract: Apparatus and methods can be conducted in a multi-pipe structure to determine eccentricity of one or more pipes of the multi-pipe structure. A tool having a center axis as a symmetry axis of the tool can be used in which receivers are arranged as a number of pairs of receivers around the center axis of the tool. Each receiver of a pair can be disposed opposite the other receiver of the pair with respect to the center axis such that each pair is symmetrical with respect to the center axis of the tool. Eccentricity of one or more pipes of the multi-pipe structure can be determined based on the received responses at the receivers of the pairs.