Abstract: A method and apparatus for subsurface data processing includes determining a set of clusters based at least in part on measurement vectors associated with different depths or times in subsurface data, defining clusters in a subsurface data by classes associated with a state mode, reducing a quantity of the subsurface data based at least in part on the classes, and storing the reduced quantity of the subsurface data and classes with the state model in a training database for a machine learning process.

Abstract: A method including receiving, at a data distribution platform, a selection of a data package comprising a high fidelity data package. The method also includes filtering, automatically by a filtering application of the data distribution platform, the high fidelity data package to form a marketing data package. Filtering includes removing sufficient data from the high fidelity data package such that the marketing data package is a marketing data package. The method also includes publishing the marketing data package within the data distribution platform.

Abstract: Methods and systems for augmented geological service characterization are described. An embodiment of a method includes generating a geological service characterization process in response to one or more geological service objectives and a geological service experience information set. Such a method may also include augmenting the geological service characterization process by machine learning in response to a training information set. Additionally, the method may include generating an augmented geological service characterization process in response to the determination information.

Abstract: A method and apparatus for subsurface data processing includes determining a set of clusters based at least in part on measurement vectors associated with different depths or times in subsurface data, defining clusters in a subsurface data by classes associated with a state mode, reducing a quantity of the subsurface data based at least in part on the classes, and storing the reduced quantity of the subsurface data and classes with the state model in a training database for a machine learning process.

Abstract: Methods and systems for augmented geological service characterization are described. An embodiment of a method includes generating a geological service characterization process in response to one or more geological service objectives and a geological service experience information set. Such a method may also include augmenting the geological service characterization process by machine learning in response to a training information set. Additionally, the method may include generating an augmented geological service characterization process in response to the determination information.

Abstract: Computing systems and methods for geosciences collaboration are disclosed. In one embodiment, a method for geosciences collaboration includes obtaining a first set of geosciences information from a first computer system of the plurality of computer systems; distributing the first set of geosciences information from the first computer system to at least a second computer system; receiving a user input from the second computer system of the plurality of computer systems, the user input entered manually by a user; providing the user input to the first computer system; in response to providing the user input to the first computer system, receiving a revised set of geosciences information from the first computer system; and repeating the receiving a user input, the providing the user input, and the receiving the revised set of geosciences information until the revised set of geosciences information is determined to satisfy accuracy criteria.

Abstract: Prestack images from the object store are hierarchically combined to generate a hierarchically stacked image. The hierarchically stacked image is generated by combining stacked images that includes a stacked image. The stacked image is generated by combining at least the prestack images. Based at least on the hierarchically stacked image, a quality measure of a prestack image is generated. Prior to deleting at least a subset of the prestack images from the object store and based at least on the quality measure, the prestack images are further combined to generate an enhanced stacked image. The stacked image is substituted using the enhanced stacked image. Subsequent to the substituting and prior to deleting at least the subset of the stacked images from the object store, the stacked images are combined to generate an enhanced hierarchically stacked image. The enhanced stacked image and the enhanced hierarchically stacked image are generated using failure recovery metadata.

Abstract: Computing systems and methods for geosciences collaboration are disclosed. In one embodiment, a method for geosciences collaboration includes obtaining a first set of geosciences information from a first computer system of the plurality of computer systems; distributing the first set of geosciences information from the first computer system to at least a second computer system; receiving a user input from the second computer system of the plurality of computer systems, the user input entered manually by a user; providing the user input to the first computer system; in response to providing the user input to the first computer system, receiving a revised set of geosciences information from the first computer system; and repeating the receiving a user input, the providing the user input, and the receiving the revised set of geosciences information until the revised set of geosciences information is determined to satisfy accuracy criteria.

Abstract: A method and apparatus for subsurface data processing includes determining a set of clusters based at least in part on measurement vectors associated with different depths or times in subsurface data, defining clusters in a subsurface data by classes associated with a state mode, reducing a quantity of the subsurface data based at least in part on the classes, and storing the reduced quantity of the subsurface data and classes with the state model in a training database for a machine learning process.

Abstract: Methods and systems for augmented geological service characterization are described. An embodiment of a method includes generating a geological service characterization process in response to one or more geological service objectives and a geological service experience information set. Such a method may also include augmenting the geological service characterization process by machine learning in response to a training information set. Additionally, the method may include generating an augmented geological service characterization process in response to the determination information.

Abstract: Prestack images from the object store are hierarchically combined to generate a hierarchically stacked image. The hierarchically stacked image library stored in an object store, a set of prestack image is generated by combining stacked images that includes a stacked image. The stacked image is generated by combining at least the prestack images. Based at least on the hierarchically stacked image, a quality measure of a prestack image is generated. Prior to deleting at least a subset of the prestack images from the object store and based at least on the quality measure, the prestack images are further combined to generate an enhanced stacked image. The stacked image is substituted using the enhanced stacked image. Subsequent to the substituting and prior to deleting at least the subset of the stacked images from the object store, the stacked images are combined to generate an enhanced hierarchically stacked image.

Abstract: A method for performing an oilfield operation of an oilfield having a subterranean formation. The method includes collecting oilfield data and deploying a first plug-in including a first oilfield technology functionality into an oilfield hosting application. The method further includes performing an oilfield analysis on the collected oilfield data in the oilfield hosting application using the first oilfield technology functionality of the first plug-in to generate an oilfield output and adjusting an oilfield operation based on the oilfield output.

Abstract: Computing systems and methods for geosciences collaboration are disclosed. In one embodiment, a method for geosciences collaboration includes obtaining a first set of geosciences information from a first computer system of the plurality of computer systems; distributing the first set of geosciences information from the first computer system to at least a second computer system; receiving a user input from the second computer system of the plurality of computer systems, the user input entered manually by a user; providing the user input to the first computer system; in response to providing the user input to the first computer system, receiving a revised set of geosciences information from the first computer system; and repeating the receiving a user input, the providing the user input, and the receiving the revised set of geosciences information until the revised set of geosciences information is determined to satisfy accuracy criteria.

Abstract: Computing systems and methods for geosciences collaboration are disclosed. In one embodiment, a method for geosciences collaboration includes obtaining a first set of geosciences information from a first computer system of the plurality of computer systems; distributing the first set of geosciences information from the first computer system to at least a second computer system; receiving a user input from the second computer system of the plurality of computer systems, the user input entered manually by a user; providing the user input to the first computer system; in response to providing the user input to the first computer system, receiving a revised set of geosciences information from the first computer system; and repeating the receiving a user input, the providing the user input, and the receiving the revised set of geosciences information until the revised set of geosciences information is determined to satisfy accuracy criteria.

Abstract: Computing systems and methods for geosciences collaboration are disclosed. In one embodiment, a method for geosciences collaboration includes obtaining a first set of geosciences information from a first computer system of the plurality of computer systems; distributing the first set of geosciences information from the first computer system to at least a second computer system; receiving a user input from the second computer system of the plurality of computer systems, the user input entered manually by a user; providing the user input to the first computer system; in response to providing the user input to the first computer system, receiving a revised set of geosciences information from the first computer system; and repeating the receiving a user input, the providing the user input, and the receiving the revised set of geosciences information until the revised set of geosciences information is determined to satisfy accuracy criteria.

Abstract: A method for performing an oilfield operation of an oilfield having a subterranean formation. The method includes collecting oilfield data and deploying a first plug-in including a first oilfield technology functionality into an oilfield hosting application. The method further includes performing an oilfield analysis on the collected oilfield data in the oilfield hosting application using the first oilfield technology functionality of the first plug-in to generate an oilfield output and adjusting an oilfield operation based on the oilfield output.

Abstract: A method for performing an oilfield operation of an oilfield having a subterranean formation. The method includes collecting oilfield data and deploying a first plug-in including a first oilfield technology functionality into an oilfield hosting application. The method further includes performing an oilfield analysis on the collected oilfield data in the oilfield hosting application using the first oilfield technology functionality of the first plug-in to generate an oilfield output and adjusting an oilfield operation based on the oilfield output.

Abstract: Systems and methods of performing oilfield operations for an oilfield are provided. The oilfield has a subterranean formation with geological structures and reservoirs therein. A plurality of oilfield modules are positioned in an application. Each of the oilfield modules models at least a portion or attribute of the oilfield. The oilfield modules are selectively connected via a connection. The connections may be integrated connections providing cooperation for integrated modeling therebetween and/or dynamic connections providing knowledge sharing for unified modeling therebetween whereby at least one oilfield model is generated. At least one internal database may be positioned in the application for collecting oilfield data and operatively connected to the of oilfield modules. At least one oilfield model is generated using the oilfield data and the oilfield modules.

Abstract: A method for performing an oilfield operation of an oilfield having a subterranean formation. The method includes collecting oilfield data and deploying a first plug-in including a first oilfield technology functionality into an oilfield hosting application. The method further includes performing an oilfield analysis on the collected oilfield data in the oilfield hosting application using the first oilfield technology functionality of the first plug-in to generate an oilfield output and adjusting an oilfield operation based on the oilfield output.

Abstract: Systems and methods of performing oilfield operations for an oilfield are provided. The oilfield has a subterranean formation with geological structures and reservoirs therein. A plurality of oilfield modules are positioned in an application. Each of the oilfield modules models at least a portion or attribute of the oilfield. The oilfield modules are selectively connected via a connection. The connections may be integrated connections providing cooperation for integrated modeling therebetween and/or dynamic connections providing knowledge sharing for unified modeling therebetween whereby at least one oilfield model is generated. At least one internal database may be positioned in the application for collecting oilfield data and operatively connected to the of oilfield modules. At least one oilfield model is generated using the oilfield data and the oilfield modules.