Abstract: A system and method for determining organic chlorine content in petroleum or petrochemical streams are disclosed. The system comprises an injection module configured to introduce a sample, consisting of a 204° C. cut of washed naphtha or equivalent, into a gas stream; a gas supply unit configured to deliver a gas mixture of approximately 80% oxygen and 20% inert gas selected from argon, helium, or nitrogen, into the injection module; a combustion unit maintained at approximately 800° C. to convert chlorine in the sample to chloride and oxychlorides; a titration cell, comprising: an electrolyte containing 75% acetic acid in water, a silver ion solution to react with chloride ions in the sample, resulting in a measurable electrochemical reaction; and a microcoulometer configured to measure the electric current required to replace consumed silver ions in the titration cell, wherein the measured current is indicative of the organic chlorine content.

Abstract: A method to perform a field operation of an unconventional reservoir is disclosed. The method includes selecting, from rock samples and based on test reports of corresponding companion rock samples, selected rock samples representing rock characteristics of formation zones in the unconventional reservoir, performing, using a rock sample test apparatus, a sequence of rock sample test cycles on each selected rock sample to generate rock sample test results, generating, based on the rock sample test results, a ranking of the selected rock samples representing enhanced oil recovery (EOR) potential of the formation zones, selecting, from the formation zones and based on the ranking, a target formation zone having an EOR potential meeting a pre-determined criterion, and performing, based at least on the EOR potential of the target formation zone, the field production of the unconventional reservoir.

Abstract: A system that intelligently traces and identify sensitive data, tracks the flow of the sensitive data and is able to quickly and accurately identify privacy compliance issues. Tracing agents installed in a monitored system intercept API requests and responses, store the data, and process the data. Processing the data may include grouping APIs based on type and identifying user sessions. Baseline activity of a valid user is determined based on the analyze request and response data, and blocking rules can be applied at each individual tracing agent. The blocking rules can prevent unauthorized transmission of sensitive data, privacy violations, unauthorized users, and other improper access to data. The blocking rules may block all or a portion of an API request or response.

Abstract: Systems, apparatuses, and methods for an on chip dynamic IR oscilloscope are provided. An oscilloscope circuitry may comprise sensor circuitry, voltage generator circuitry, finite state machine, and latch circuitry. The sensor circuitry may include digital logic circuitry, sample and hold circuitry, and sense amplifier circuitry. The voltage generator circuitry may include a voltage generator, analog buffers, switches, and high speed buffer. The finite state machine may control the sensor circuitry to sample a voltage waveform and the voltage generator circuitry to generate a reference voltage that may change over time. The sensing amplifier circuitry may compare the samples to the reference voltage to generate flags when a sample exceeds a reference voltage. The flags may be used to stored the voltages associated with the flags, which may be used to redraw the waveform sampled.

Abstract: Methods and systems for container management include scanning layers of a first container image of a set of container images to generate scan metadata for the layers. Relationship information is generated that identifies relationships between a first set of layers of the first container image and layers of additional container images of the plurality of container images. The additional container images are scanned, omitting any layers in the additional container images that match a layer of the first set of layers based on the relationship information.

Abstract: A processor-implemented method of pre-processing for deep neural network compilation comprising receiving a representation of an artificial neural network (ANN) model. The ANN includes multiple nodes coupled by edges. Position information is determined for each node of the ANN. An operator embedding is generated to represent operators of the ANN model in an embedding space based on the position information. A graph neural network (GNN) processes the operator embedding to generate a graph embedding corresponding to the ANN model according to a learned distance metric and based on the position information. The GNN determines a set of hyperparameters for the ANN model based on the graph embedding.

Abstract: A processor-implemented method of pre-processing for deep neural network compilation comprising receiving a representation of an artificial neural network (ANN) model. An operator embedding is generated to represent operators of the ANN model in an embedding space. A graph neural network (GNN) processes the operator embedding to generate a graph embedding corresponding to the ANN model according to a learned distance metric. The GNN determines a set of hyperparameters for the ANN model based on the graph embedding.

Abstract: A plurality of tickets can be received. A pattern pertaining to an issue with an application can be determined by at least one artificial neural network. The pattern can be indicated among at least a portion of the plurality of tickets. The portion of the plurality of tickets can be grouped into a group comprising a primary ticket and at least one secondary ticket. Automation steps can be accessed from a database. The automation steps can be implemented to resolve the issue for the primary ticket. Responsive to the resolving the issue by implementing the automation steps from the database for the primary ticket, the secondary ticket can be closed.

Abstract: A plurality of tickets can be received. A pattern pertaining to an issue with an application can be determined by at least one artificial neural network. The pattern can be indicated among at least a portion of the plurality of tickets. The portion of the plurality of tickets can be grouped into a group comprising a primary ticket and at least one secondary ticket. Automation steps can be accessed from a database. The automation steps can be implemented to resolve the issue for the primary ticket. Responsive to the resolving the issue by implementing the automation steps from the database for the primary ticket, the secondary ticket can be closed.

Abstract: Systems and/or methods receive an indication associated with a delivery to an address and determine a route associated with the delivery. The systems and/or methods determine a threshold distance to the address associated with displaying images of an environment along the route. As a device associated with a delivery personnel travels within the threshold, the device displays the image(s) of the environment. Additional image(s) are presented based on arriving at the address. The additional image(s) represent a structure associated with the address. The route is displayed along with the additional image(s) to allow the delivery personnel to efficiently make the delivery.

Abstract: A method and system for both enhancing oil recovery of a reservoir and permanently sequestering carbon dioxide (CO2) is described. The method includes dissolving CO2 in a base fluid at a surface location of an injection formation, forming a dense CO2-brine solution, introducing the dense CO2-brine solution into an injection well, accumulating a volume of the dense CO2-brine solution in a structural low, displacing a native formation fluid from the injection well, increasing a fluid drive pressure from the injection well to a producing well, and displacing hydrocarbons of the producing well. The system includes an injection system in fluid communication with an injection well, a production well of the hydrocarbon production formation, and a dense CO2-brine solution that has a density greater than a native formation fluid of the injection formation.

Abstract: A request is received associated with a review. Within first content, a first field of interest and a second field of interest are identified and within second content, a third field of interest and a fourth field of interest are identified. A review is generated that includes a first indication of the first field of interest and a second indication of the second field of interest within the first content, as well as a third indication of the third field of interest and a fourth indication of the fourth field of interest within the second content. The review is transmitted to a device of a reviewer for reviewing the content.

Abstract: Techniques for providing remote patient assistance when network connectivity is unavailable include receiving, from a provider-side side remote patient monitoring (RPM) platform, a healthcare plan assigned to a patient; and while disconnected from the provider-side RPM platform: monitoring the patient; in response to the monitoring, determining whether to provide the medical information to the patient; and presenting the medical information to the patient, wherein the medical information is based on the healthcare plan and the monitoring.

Abstract: A method and system for both enhancing oil recovery of a reservoir and permanently sequestering carbon dioxide (CO2) is described. The method includes dissolving CO2 in a base fluid at a surface location of an injection formation, forming a dense CO2-brine solution, introducing the dense CO2-brine solution into an injection well, accumulating a volume of the dense CO2-brine solution in a structural low, displacing a native formation fluid from the injection well, increasing a fluid drive pressure from the injection well to a producing well, and displacing hydrocarbons of the producing well. The system includes an injection system in fluid communication with an injection well, a production well of the hydrocarbon production formation, and a dense CO2-brine solution that has a density greater than a native formation fluid of the injection formation.

Abstract: The disclosure relates to methods to increase production of a hydrocarbon from an underground formation by injecting a mixture containing an ether and carbon dioxide. The composition of the mixture, a pressure for injecting the mixture, a duration of an injection time, a duration of a time delay between injection of the mixture and producing the hydrocarbon, a pressure for producing the hydrocarbon, a duration of a production time and/or a number of cycles of injection and production can be selected (e.g., optimized) using simulations to enhance (e.g., maximize) recovery of the hydrocarbon and/or sequestration of carbon dioxide in the underground formation.

Abstract: Embodiments described herein are directed to facilitating management of collection agents. In one embodiment, a control request is provided to an agent service manager from an agent controller that manages collection agents that collect data. The agent controller and the collection agents operate on a computing machine remote from the agent service manager. In response to the control request, a control directive is received, the control directive including an agent event indicator indicating an agent event to be executed in association with a set of collection agents of the collection agents. Thereafter, execution of the agent event is initiated in association with each collection agent of the set of collection agents.

Abstract: A method for the subterranean regeneration of CO2-philic solvents and the sequestration of carbon dioxide may include exposing the CO2-philic solvent to a carbon dioxide-containing gas in an absorber to allow the CO2-philic solvent to absorb at least a portion of the carbon dioxide in the carbon dioxide-containing gas, thereby producing a CO2-containing solution. The CO2-containing solution may be supplied to one or more porous rock fractures via one or more injection conduits in fluid communication with the one or more porous rock fractures. The CO2-containing solution may be heated via heat provided by one or more rock fractures in order to release at least a portion of the absorbed carbon dioxide into the one or more rock fractures and thereby regenerate the CO2-philic solvent.

Abstract: A method for the subterranean regeneration of CO2-philic solvents and the sequestration of carbon dioxide may include exposing the CO2-philic solvent to a carbon dioxide-containing gas in an absorber to allow the CO2-philic solvent to absorb at least a portion of the carbon dioxide in the carbon dioxide-containing gas, thereby producing a CO2-containing solution. The CO2-containing solution may be supplied to one or more porous rock fractures via one or more injection conduits in fluid communication with the one or more porous rock fractures. The CO2-containing solution may be heated via heat provided by one or more rock fractures in order to release at least a portion of the absorbed carbon dioxide into the one or more rock fractures and thereby regenerate the CO2-philic solvent.

Abstract: A request is received associated with reviewing content. As part of the request, one or more conditions are received and the content is analyzed to identify a first field of interest and a second field of interest. The first field of interest and the second field of interest represent fields of interest associated with the review of the content. At least one of the first field of interest or the second field of interest may not satisfy the one or more conditions and the content, or a portion thereof, may be sent for review.

Abstract: A computer-implemented method that enables dew point pressure prediction using isothermal constant composition expansion and artificial intelligence is described herein. The method includes obtaining constant composition expansion data of a reservoir fluid, and predicting saturation pressures for the reservoir fluid at the constant composition expansion data points using a trained machine learning model selected from multiple machine learning models that are trained using data from a generated constant composition expansion library. The method also includes determining a central tendency of the predicted saturation pressures to obtain a final saturation pressure corresponding to the constant composition expansion data for the reservoir fluid.