Abstract: Certain aspects of the disclosure provide a method that comprises filtering a greyscale image with a seismic spectrum to produce an image footprint; grouping a masked image into object anomalies; smoothing the object anomalies to produce a synthetic geo-feature type image; imposing at least one of the image footprint or the synthetic geo-feature type image onto an initial velocity model to generate a final velocity model; and generating a synthetic seismic image from the final velocity model.

Abstract: Aspects disclosed provide systems and methods for connecting data across different content delivery channels (also referred to as channels herein) of a content delivery system, to improve data quality and to provide consistent experiences to users across the various channels. The system achieves this through the user a master identifier that connects/links data across different channels. By doing so it can give all the channels of the content delivery system insights into user/browser activities across channels.

Abstract: Certain aspects of the disclosure provide a method that selectively extracts information from a knowledge base of an organization based on roles of users in the organization. A first large language model (LLM) is used to identify one or more blocks of text that a user is permitted to access based on a prompt input by the user via a user interface (UI) and the role of the user in the organization. A second LLM is used to generate a response to the prompt based on text of the prompt and the one or more blocks of text that the user is permitted to access. The response is displayed is UI. The response contains the one or more blocks of text that the user is permitted to access in the knowledge base.

Abstract: Certain aspects of the disclosure provide a method for extracting attributes from documents with varying formats, layouts and complexities. The method displays a user interface (UI) that enables a user to obtain an unstructured document from a knowledge base. The method converts the unstructured document into a text document using a text recognition. The method obtains, as output from a large language model (LLM), an extracted page attribute from the text document. The extracted page attribute contains a first type of information recorded in text on a single page of the text document. The extracted document attribute contains a second type of information recorded in text on more than one page of the text document. The method obtains, as output from the LLM, an extracted document attribute from the text document. The extracted page attribute and the extracted document attribute are displayed in the UI.

Abstract: A casing installation manager may obtain a training dataset including a plurality of torque-turns datasets for a plurality of casing joint connections. Each of the plurality of torque-turns datasets may include a joint quality score for an associated casing joint connection of the plurality of casing joint connections. A casing installation manager may train, using the training dataset, a deep learning model to generate a new joint quality score for a new torque-turns dataset.

Abstract: A method includes receiving field seismic data that represents a subsurface, identifying features in the field seismic data using a machine learning model that was trained using at least one first synthetic seismic data set that includes one or more features and one or more labels of the features, and at least one second synthetic seismic data set, the first and second synthetic seismic data sets both generated based on a geological model. Noise is injected into the second synthetic seismic data based on the geological model. The method also includes generating a model of the subsurface based at least in part on the features that were identified in the field seismic data using the machine learning model.

Abstract: A method may include receiving a description of an event occurring at a wellsite; extracting a failure mode from the description using a fine-tuned large language model (LLM); identifying a matching failure mode from historical data processed using the fine-tuned LLM, where the matching failure mode is associated with one or more remedial actions that successfully resolved the matching failure mode; and outputting the one or more remedial actions for implementation at the wellsite.

Abstract: A method and apparatus for data acquisition including: acquiring a first set of data for a survey area with streamer receivers on a streamer spread; and simultaneously acquiring a second set of data for the area with ocean bottom receivers, the first and second sets of data together forming a complete dataset for velocity modeling and imaging. A method including: navigating a first propulsion source along a first path in the area, wherein a streamer spread and a first seismic source are coupled to the first propulsion source; navigating a second propulsion source along a second path in the area, wherein a second seismic source is coupled to the second propulsion source; while navigating the first and second propulsion sources, activating at least one of the first and second seismic sources; and acquiring data with receivers on the streamer spread and with ocean bottom receivers distributed throughout the area.

Abstract: A system for testing a suspension system of a vehicle includes an inertial measurement module and a suspension fault detection module. The inertial measurement module is configured to, while the vehicle is not moving, collect sensor data from one or more inertial measurement sensors for different states of the suspension system. The sensor data is indicative of inertial states of the vehicle while the suspension system is in each of the different states. The suspension fault detection module is configured to, based on the sensor data and a set of thresholds, determine whether a fault exists with the suspension system, isolate and identify the fault, and perform a countermeasure based on the detection of the fault.

Abstract: A system for testing a suspension system of a vehicle includes an inertial measurement module and a suspension fault detection module. The inertial measurement module is configured to, while the vehicle is not moving, collect sensor data from one or more inertial measurement sensors for different states of the suspension system. The sensor data is indicative of inertial states of the vehicle while the suspension system is in each of the different states. The suspension fault detection module is configured to, based on the sensor data and a set of thresholds, determine whether a fault exists with the suspension system, isolate and identify the fault, and perform a countermeasure based on the detection of the fault.

Abstract: A method and apparatus for data acquisition including: acquiring a first set of data for a survey area with streamer receivers on a streamer spread; and simultaneously acquiring a second set of data for the area with ocean bottom receivers, the first and second sets of data together forming a complete dataset for velocity modeling and imaging. A method including: navigating a first propulsion source along a first path in the area, wherein a streamer spread and a first seismic source are coupled to the first propulsion source; navigating a second propulsion source along a second path in the area, wherein a second seismic source is coupled to the second propulsion source; while navigating the first and second propulsion sources, activating at least one of the first and second seismic sources; and acquiring data with receivers on the streamer spread and with ocean bottom receivers distributed throughout the area.

Abstract: Systems and methods include seismic data stacking derived from a set of image volumes. Stacking includes finding a sub-set of seismic image volumes (and in some implementations their respective stacking weights) or multiple realizations of sub-set of seismic image volumes from a given set that are consistent and similar to each other. Some or all of the input seismic image volumes can be stacked together as they would be with a conventional stack. However, the signal-to-noise ratio can be enhanced by only stacking those volumes that contain consistent and relevant information. Optimal stacking can utilize an algorithm that can be implemented in a moving window fashion.

Abstract: A method and a system for handling a mobile terminating call in a mobile communications network, wherein interrogation (112) by a first Mobile Switching Center (101) towards a Home Location Register (202) for routing said call is intercepted by an Intercepting Means (104). The Intercepting Means (104) determines that routing said call to a dedicated Mobile Switching Center (105) is required for providing a service for said call. A message (213) comprising routing information for routing said call to the dedicated Mobile Switching Center (105) is sent by the Intercepting Means (104) to the first Mobile Switching Center(101).

Abstract: Systems and methods include seismic data stacking derived from a set of image volumes. Stacking includes finding a sub-set of seismic image volumes (and in some implementations their respective stacking weights) or multiple realizations of sub-set of seismic image volumes from a given set that are consistent and similar to each other. Some or all of the input seismic image volumes can be stacked together as they would be with a conventional stack. However, the signal-to-noise ratio can be enhanced by only stacking those volumes that contain consistent and relevant information. Optimal stacking can utilize an algorithm that can be implemented in a moving window fashion.

Abstract: A method and control node and computer program are disclosed for handling Intelligent Network services associated with a call to a subscriber of a mobile telecommunications network, the network comprising said control node, a HLR and one or more SCPs. Said control node a) sends to said HLR one or more requests for routing information associated with said call; b) receives from said HLR service trigger elements associated with said services; c) uses said trigger elements for invoking said services in said one ore more SCPs; and d) receives from said one or more SCPs information related to said services associated with said trigger elements.

Abstract: A method and control node and computer program are disclosed for handling Intelligent Network services associated with a call to a subscriber of a mobile telecommunications network, the network comprising said control node, a HLR and one or more SCPs. Said control node a) sends to said HLR one or more requests for routing information associated with said call; b) receives from said HLR service trigger elements associated with said services; c) uses said trigger elements for invoking said services in said one ore more SCPs; and d) receives from said one or more SCPs information related to said services associated with said trigger elements.

Abstract: A method and control node (110) and computer program are disclosed for handling Intelligent Network services associated with a call to a subscriber of a mobile telecommunications network, the network comprising said control node (110), a HLR 5 (111) and one or more SCPs (121, 122, 123). Said control node (110) a) sends (101) to said HLR (111) one or more requests for routing information associated with said call; b) receives (102) from said HLR (111) service trigger elements associated with said services; c) uses said trigger elements for invoking (103) said services in said one or more SCPs (121, 122, 123); and d) receives (104) from said one or more 10 SCPs (121, 122, 123) information related to said services associated with said trigger elements.

Abstract: A method and control node (110) and computer program are disclosed for handling Intelligent Network services associated with a call to a subscriber of a mobile telecommunications network, the network comprising said control node (110), a HLR 5 (111) and one or more SCPs (121, 122, 123). Said control node (110) a) sends (101) to said HLR (111) one or more requests for routing information associated with said call; b) receives (102) from said HLR (111) service trigger elements associated with said services; c) uses said trigger elements for invoking (103) said services in said one or more SCPs (121, 122, 123); and d) receives (104) from said one or more 10 SCPs (121, 122, 123) information related to said services associated with said trigger elements.

Abstract: A method and a system for handling a mobile terminating call in a mobile communications network, wherein interrogation (112) by a first Mobile Switching Centre (101) towards a Home Location Register (202) for routing said call is intercepted by an Intercepting Means (104). The Intercepting Means (104) determines that routing said call to a dedicated Mobile Switching Centre (105) is required for providing a service for said call. A message (213) comprising routing information for routing said call to the dedicated Mobile Switching Centre (105) is sent by the Intercepting Means (104) to the first Mobile Switching Centre (101).

Abstract: A process and apparatus to remotely gather data about cellphone hardware and software configurations and usage. The system uses agents which are resident on the phones and which can be remotely launched by a data collection server by sending a message to a public IP address of the phone and addressed to a special port designated for launch. The agent specifies the launch port and a data collection port upon installation and registration with the cellphone operating system. Data on hardware configuration, software version and phone usage can be gathered. Data collection sessions are established by the data collection server sending a message addressed to the public IP address of the cellphone and the data collection port specified by the agent process upon registration with the operating system. Many alternative embodiments are also disclosed.