Abstract: A method for predicting oil flow rates is provided. The method includes accessing historical data from a plurality of databases, accessing historical perforation data and historical reservoir properties data from a simulation model, and determining fluid flow values and rock quality index values associated with perforated intervals of the plurality of wells. The method further includes corresponding the fluid flow values and rock quality values to the well production data, training, using the plurality of input values, a machine learning model for predicting oil flow values at perforated intervals of a plurality of target wells, predicting, using the trained machine learning model, the oil flow values at the perforated intervals of the plurality of target wells, and generating a synthetic production log that includes the predicted oil flow values at the perforated intervals of the plurality of target wells.

Abstract: Systems and methods for evaluating simulation models are disclosed. In one embodiment, a method of evaluating a simulation model of a hydrocarbon field includes merging simulated reservoir data and actual reservoir data to generate merged reservoir data, and cross-linking the merged reservoir data with three-dimensional model data. The method further includes calculating one or more surface metrics from at least one of the merged reservoir data and the three-dimensional model data, calculating one or more subsurface metrics from at least one of the merged reservoir data and the three-dimensional model data, and calculating one or more overall history match indicators, one or more surface history match indicators, and one or more subsurface history match indicators from the one or more surface metrics, the one or more subsurface metrics, and the three-dimensional model data.

Abstract: This disclosure is directed to techniques in which a first user in an environment scans visual indicia associated with an item, such as a barcode, before handing the item to a second user. One or more computing devices may receive an indication of the scan, retrieve image data of the interaction from a camera within the environment, identify the user that received the item, and update a virtual cart associated with the second user to indicate addition of the item.

Abstract: Methods and systems for generating heterogeneity indices for reservoirs is provided.

Abstract: Candidate encodes of a source video are produced using a plurality of encoding configurations. Quality of experience (QoE) scores for each of the candidate encodes are computed. The QoE scores of the plurality of candidate encodes are compared to determine a lowest bitrate encode that achieve a target QoE score. The lowest bitrate encode that achieve the target QoE score as an optimized output video is selected.

Abstract: An information exchange platform receives a file from a client system and processes the file for delivery to a trading partner (TP) of the client system. The TP does not need to be a client of the information exchange platform. So long as the file has some identifying information such as an email address that uniquely identifies the TP within a custom solution for the client system, the information exchange platform can automatically and programmatically provision the TP. An auto-provisioning subsystem is operable to create and/or configure information needed to complete the processing of the file just in time, including creating a legal entity and a routing address for the TP. When completed, the file is processed into a deliverable, which is then provided for delivery to the TP just in time as the file is received from the client system.

Abstract: Candidate encodes of a source video are produced using a plurality of encoding configurations. Quality of experience (QoE) scores for each of the candidate encodes are computed. The QoE scores of the plurality of candidate encodes are compared to determine a lowest bitrate encode that achieve a target QoE score. The lowest bitrate encode that achieve the target QoE score as an optimized output video is selected.

Abstract: Embodiments described herein include a system for generating a drainage radius log per well that includes a computing device that receives well data associated with a plurality of wells, utilizes the well production data to calculate a value for cumulative liquid produced by each of the plurality of wells for a predetermined time period, and utilizes at least a portion of the well data to calculate a fractional contribution for each of the plurality of wells. In some embodiments the computing device utilizes the value for cumulative liquid produced for each of the plurality of wells and the fractional contribution to calculate a cumulative liquid production for each of the plurality of wells, utilizes the cumulative liquid production to calculate the drainage radius log for each of the plurality of wells, and outputs the drainage radius log for display.

Abstract: An any-to-any (A2A) connector system provides an A2A integration framework that includes an ingress router, a connector system, and enhancements to an orchestration service framework of an information exchange platform. At design time, an application programming interface (API) connector can be generated based on API documentation for the external service. At runtime, in processing an itinerary that includes a universal service, the external service is called through the universal service using the API connector. The universal service is operable to parse a request from a client system, query a connector database, and, based on a result from the connector database, sends a request to a connector engine. The connector engine fetches the API connector from the connector database, calls the external service using the API connector, handles results of the call, and returns the results to the universal service.

Abstract: An any-to-any (A2A) connector system provides an A2A integration framework that includes an ingress router, a connector system, and enhancements to an orchestration service framework of an information exchange platform. At design time, an application programming interface (API) connector can be generated based on API documentation for the external service. At runtime, in processing an itinerary that includes a universal service, the external service is called through the universal service using the API connector. The universal service is operable to parse a request from a client system, query a connector database, and, based on a result from the connector database, sends a request to a connector engine. The connector engine fetches the API connector from the connector database, calls the external service using the API connector, handles results of the call, and returns the results to the universal service.

Abstract: This disclosure is directed to techniques in which a first user in an environment scans visual indicia associated with an item, such as a barcode, before handing the item to a second user. One or more computing devices may receive an indication of the scan, retrieve image data of the interaction from a camera within the environment, identify the user that received the item, and update a virtual cart associated with the second user to indicate addition of the item.

Abstract: An information exchange platform receives a file from a client system and processes the file for delivery to a trading partner (TP) of the client system. The TP does not need to be a client of the information exchange platform. So long as the file has some identifying information such as an email address that uniquely identifies the TP within a custom solution for the client system, the information exchange platform can automatically and programmatically provision the TP. An auto-provisioning subsystem is operable to create and/or configure information needed to complete the processing of the file just in time, including creating a legal entity and a routing address for the TP. When completed, the file is processed into a deliverable, which is then provided for delivery to the TP just in time as the file is received from the client system.

Abstract: A system may generate image data of users within a facility. Such users may be part of a group that is unknown to the system. The system can predict group data for two or more users based on a resemblance or the users being within a threshold distance of each other. However, if a confidence level associated with the predicted group data is below a threshold value, the group data is deemed unreliable and assistance from an associate is deemed necessary. A user interface that includes a portion of the image data, information about the predicted group data, and other interface elements is presented to the associate via a display. Based on the input data received from the associate, the group data can be confirmed or rejected. If the group data is confirmed, an association is made between the users and a group identifier.

Abstract: Systems and methods that calculate and display reservoir properties are disclosed. In one embodiment, a method of displaying field development opportunities includes receiving production data including production attributes for a plurality of wells, receiving three-dimensional model data including model attributes from one or more fields, cross-linking the production data and the three-dimensional model data, and displaying a graphical user interface. The graphical user interface includes a two-dimensional view of a selected field and a plurality of graphs, each graph of the plurality of graphs including a plurality of bins. Each graph of the plurality of graphs corresponds to a reservoir property. Each bin of the plurality of bins corresponds to a range of values along one of the first axis and the second axis. The plurality of graphs are arranged within the graphical user interface such that the plurality of bins are aligned with one another.

Abstract: In one embodiment, a method of processing petroleum extraction data includes receiving petroleum extraction data from one or more data sources, wherein the petroleum extraction data includes structured data and unstructured data, filtering the petroleum extraction data by applying one or more statistical methods to generate filtered petroleum extraction data including transactional data and non-transactional data, and verifying the filtered petroleum extraction data according to one or more attributes. The method further includes calculating one or more parameters from the transactional data at a first frequency and one or more parameters from the non-transactional data at a second frequency, and correlating the one or more parameters from the transactional data and the non-transactional data based on one or more attributes to generate correlated data. The method also includes aggregating and storing the correlated data in a data structure, and performing one or more analytic processes on the aggregated data.

Abstract: An information exchange platform receives a file from a client system and processes the file for delivery to a trading partner (TP) of the client system. The TP does not need to be a client of the information exchange platform. So long as the file has some identifying information such as an email address that uniquely identifies the TP within a custom solution for the client system, the information exchange platform can automatically and programmatically provision the TP. An auto-provisioning subsystem is operable to create and/or configure information needed to complete the processing of the file just in time, including creating a legal entity and a routing address for the TP. When completed, the file is processed into a deliverable, which is then provided for delivery to the TP just in time as the file is received from the client system.

Abstract: Embodiments provided herein include systems and methods for identifying water management candidates at an asset level that includes receiving data related to a plurality of wells, where the data includes data related to water produced by the plurality of wells. Some embodiments include determining a water management index for each of the plurality of wells, where the water management index is calculated based on the received data. Some embodiments include selecting a designated well to perform a water management action, based on the water management index, determining a type of water management action for the designated well and providing the designated well and the type of water management action for display.

Abstract: This disclosure is directed to techniques in which a first user in an environment scans visual indicia associated with an item, such as a barcode, before handing the item to a second user. One or more computing devices may receive an indication of the scan, retrieve image data of the interaction from a camera within the environment, identify the user that received the item, and update a virtual cart associated with the second user to indicate addition of the item.

Abstract: An information exchange platform receives a file from a client system and processes the file for delivery to a trading partner (TP) of the client system. The TP does not need to be a client of the information exchange platform. So long as the file has some identifying information such as an email address that uniquely identifies the TP within a custom solution for the client system, the information exchange platform can automatically and programmatically provision the TP. An auto-provisioning subsystem is operable to create and/or configure information needed to complete the processing of the file just in time, including creating a legal entity and a routing address for the TP. When completed, the file is processed into a deliverable, which is then provided for delivery to the TP just in time as the file is received from the client system.

Abstract: In one or more implementations, groups of users enter a facility within a short time. Automated systems attempt to predict a grouping for various users, but the predicted grouping may not exhibit a confidence level above a certain threshold level. In such cases, a user interface is generated and presented to an associate to confirm the grouping of users. The user interface includes an image gallery and interface elements that allow for the selection of users into a group. The image gallery includes previously stored images of users, such as images obtained during a registration process or during a previous visit to the facility. In addition, the user interface also includes image data obtained from a camera at the facility depicting visitors at various times or locations. Once a grouping has been selected or confirmed by an associate, group data may be generated and stored for the group of users.