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.

Abstract: The present disclosure recites methods and systems for context augmentation. The method includes generating, in accordance with a policy of a RAG system, a first set of queries for a chunk of a plurality of chunks, the plurality of chunks represents a context of the RAG system. Further, the method includes determining, based upon a set of quality indicators, a quality class of each query of the first set of queries. Thereafter, the method includes, updating, the chunk to an updated chunk to further include query data of one or more queries of the first set of queries based upon the quality class of the each query of the first set of queries. Further, the method includes storing, the updated chunk in a database as a vector for retrieval from the RAG system upon receiving a prompt.

Abstract: Techniques for remote healthcare monitoring using plug-in devices include receiving, from a remote source, a healthcare plan assigned to a patient; causing a separate media device to present healthcare information of the patient based on the healthcare plan; receiving healthcare data regarding the patient from one or more healthcare monitoring devices based on the healthcare plan; and sending the healthcare data to the remote source.

Abstract: Methods of determining an oil formation volume factor based on solid core sample data; and determining a gas/oil ratio based on the oil formation volume factor.

Abstract: A method of optimizing Radio Access Network-based Notification Area (RNA) in the case a user equipment (UE) transitions to radio resource control inactive (RRC_INACTIVE) state includes: detecting, by a radio intelligent controller (RIC) using artificial intelligence (AI) and/or machine learning (ML) technique (e.g., State Vector Machine or Isolation Forest), an anomaly cell based on at least one of the following factors: key performance indicators (KPIs), performance measurements (PMs), configuration parameters (CMs), fault management (FM) data, and trace data; determining, by the RIC, based on the at least one of the factors, a cause for the detected anomaly cell; and recommending, by the RIC to a gNodeB associated with the RNA having the anomaly cell, at least one of the following actions: a) exclude the anomaly cell from the RNA, and b) disable new radio resource control (RRC) connections from the UE.

Abstract: Disclosed herein are system, method, and computer program product embodiments for generating metadata element recommendations. For example, the method includes acquiring, by at least one processor and via a user interface, metadata associated with a data store. The method also includes performing natural language processing on the metadata to generate processed metadata, generating a candidate table name and a table description associated with the candidate table name for a table included in the metadata, and generating a first candidate attribute name, an attribute description associated with the first candidate attribute name, and a corresponding data type for each attribute associated with the table. The method also includes generating a second candidate attribute name for each attribute by extracting one or more keywords from the first candidate attribute name, and modifying the user interface to include at least the candidate table name.

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: 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. 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 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 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.