Abstract: An automatic method of determining an image composition procedure that generates a new image visualization based on aggregations and variations of input images. A set of input images is received. Visual features are extracted from the input images. Context associated with input images is received. Based on the extracted visual features and the context associated with the input images, a composition procedure comprising a set of image operations to apply on the set of input images is learned. One or more image operations in the composition procedure are determined to present to a user. A difference visualization image associated with the input images may be generated by executing the one or more image operations.

Abstract: An embodiment includes a method for use by at least one machine learning classifier. The method comprises the machine learning classifier obtaining one or more recent results from at least one geomechanical simulation; the machine learning classifier comparing the recent results to stored historical data; and, based on the comparing, the machine learning classifier deciding at least one reservoir model for use by at least one reservoir simulation.

Abstract: A system, method and program product for a computer-based project collaboration system using a data log for cross-domain collaboration. A cognitive log stores log entries based on domain-specific project data sources. An ontology translator includes domain-specific ontologies and a mapping ontology that defines relationships among the domain-specific ontologies. A cross-domain query includes domain parameters from one domain-specific ontology and returns and displays results based on log entries with domain parameters from another domain-specific ontology using the ontology translator.

Abstract: A computer-implemented method for visualizing uncertainty in flow measurements is provided. A non-limiting exemplary method includes reading, by a processor, a plurality of fluid flow measurements having a magnitude, a direction, and a location. The method plots a plurality of points on a first polar graph, each point representing the difference in fluid flow measurements between two of the plurality of fluid flow measurements at different locations and calculates an uncertainty boundary line based on the plurality of plotted points. The method filters, by the processor, the plurality of plotted points to remove plotted points outside of the uncertainty boundary line leaving only remaining plotted points and defines at least one cluster of remaining plotted points based on similar behavior of a subset of the remaining plotted points. The method may use the remaining plotted points to provide adaptive setup to tune a response in the fluid flow measurements.

Abstract: A system, method and program product for stratigraphic layer identification using a stratigraphic knowledge base for machine learning. Reservoir data includes seismic data and well log data for a reservoir area. The well log data is processed to identify well stratigraphic layer features and the seismic data is processed to identify seismic stratigraphic layer features. A feature matching algorithm based on a stratigraphic knowledge base is selected to match the well stratigraphic layer features to the seismic stratigraphic layer features. The matched features are used to define a stratigraphic layer interpretation for the reservoir area and the interpretation is presented to a user.

Abstract: A system, method and program product for processing borehole images to delineate between natural fractures and induced fractures. A system is disclosed that includes: an image analysis platform that inputs a noisy image from a borehole, processes the image using a set of filtering strategies, and renders a set of suggested filtered images via a user interface, the user interface including a mechanism for allowing a user to choose a selected filtered image from the set of suggested filtered images that best delineates between natural fractures and induced fractures, and wherein the image analysis platform further includes a feedback system for packaging and outputting the noisy image and selected filtered image as feedback; and a learning platform having a knowledge registration system that collects and stores training data and the feedback and in a knowledgebase, and a machine learning system that generates filtering strategies.

Abstract: A fracture pattern characterization method, system, and computer program product, include classifying fracture patterns of reservoir layers using a correlation of reservoir information associated with target images and the target images extracted from a database and determining a fracture pattern characterization of a new reservoir layer input based on the classified fracture patterns.

Abstract: A computer-implemented method for visualizing uncertainty in flow measurements is provided. A non-limiting exemplary method includes reading, by a processor, a plurality of fluid flow measurements having a magnitude, a direction, and a location. The method plots a plurality of points on a first polar graph, each point representing the difference in fluid flow measurements between two of the plurality of fluid flow measurements at different locations and calculates an uncertainty boundary line based on the plurality of plotted points. The method filters, by the processor, the plurality of plotted points to remove plotted points outside of the uncertainty boundary line leaving only remaining plotted points and defines at least one cluster of remaining plotted points based on similar behavior of a subset of the remaining plotted points. The method may use the remaining plotted points to provide adaptive setup to tune a response in the fluid flow measurements.

Abstract: An automatic method of determining an image composition procedure that generates a new image visualization based on aggregations and variations of input images. A set of input images is received. Visual features are extracted from the input images. Context associated with input images is received. Based on the extracted visual features and the context associated with the input images, a composition procedure comprising a set of image operations to apply on the set of input images is learned. One or more image operations in the composition procedure are determined to present to a user. A difference visualization image associated with the input images may be generated by executing the one or more image operations.

Abstract: A method of evaluating image quality includes capturing a first digital image of a target object using a first digital camera of a smart device. A second digital image of a user of the smart device is captured using a second digital camera of the smart device. The second digital image includes an image of the user's facial expression. A quality index is generated for the first digital image by analyzing one or more features of the second digital image. Analyzing the second digital image includes determining the user's sentiment. The quality index is then associated with the first digital image.

Abstract: A system, method and program product for processing borehole images to delineate between natural fractures and induced fractures. A system is disclosed that includes: an image analysis platform that inputs a noisy image from a borehole, processes the image using a set of filtering strategies, and renders a set of suggested filtered images via a user interface, the user interface including a mechanism for allowing a user to choose a selected filtered image from the set of suggested filtered images that best delineates between natural fractures and induced fractures, and wherein the image analysis platform further includes a feedback system for packaging and outputting the noisy image and selected filtered image as feedback; and a learning platform having a knowledge registration system that collects and stores training data and the feedback and in a knowledgebase, and a machine learning system that generates filtering strategies.

Abstract: A system, product, and method of automatic reading any flow metering device, including generating a first image of the device associated and secured with a mobile device with a camera, recognizing a type of device according to a database of metering's, generating a mask for any following image based on the mobile device and the first image, based on any following image, analyzing it to extract information based on the image recognition related to the type of device, and validating the extracted information with location, timestamp, and the mask.

Abstract: An automatic method of determining an image composition procedure that generates a new image visualization based on aggregations and variations of input images. A set of input images is received. Visual features are extracted from the input images. Context associated with input images is received. Based on the extracted visual features and the context associated with the input images, a composition procedure comprising a set of image operations to apply on the set of input images is learned. One or more image operations in the composition procedure are determined to present to a user. A difference visualization image associated with the input images may be generated by executing the one or more image operations.

Abstract: A system, method and program product for annotating visualizations with uncertainty information. A system is provided that includes a visualization importer that imports a generated visualization; an uncertainty processor that locates a region of uncertainty in the generated visualization; and a graphics annotator that generates an annotated visualization having uncertainty artifacts that visually identify the region of uncertainty.

Abstract: An embodiment includes a method for use by at least one machine learning classifier. The method comprises the machine learning classifier obtaining one or more recent results from at least one geomechanical simulation; the machine learning classifier comparing the recent results to stored historical data; and, based on the comparing, the machine learning classifier deciding at least one reservoir model for use by at least one reservoir simulation.

Abstract: A system, product, and method of automatic reading any flow metering device, including generating a first image of the device associated and secured with a mobile device with a camera, recognizing a type of device according to a database of metering's, generating a mask for any following image based on the mobile device and the first image, based on any following image, analyzing it to extract information based on the image recognition related to the type of device, and validating the extracted information with location, timestamp, and the mask.

Abstract: An embodiment includes a method for use by at least one machine learning classifier. The method comprises the machine learning classifier obtaining one or more recent results from at least one geomechanical simulation; the machine learning classifier comparing the recent results to stored historical data; and, based on the comparing, the machine learning classifier deciding at least one reservoir model for use by at least one reservoir simulation.

Abstract: An automatic method of determining an image composition procedure that generates a new image visualization based on aggregations and variations of input images. A set of input images is received. Visual features are extracted from the input images. Context associated with input images is received. Based on the extracted visual features and the context associated with the input images, a composition procedure comprising a set of image operations to apply on the set of input images is learned. One or more image operations in the composition procedure are determined to present to a user. A difference visualization image associated with the input images may be generated by executing the one or more image operations.

Abstract: A system, method and program product for stratigraphic layer identification using a stratigraphic knowledge base for machine learning. Reservoir data includes seismic data and well log data for a reservoir area. The well log data is processed to identify well stratigraphic layer features and the seismic data is processed to identify seismic stratigraphic layer features. A feature matching algorithm based on a stratigraphic knowledge base is selected to match the well stratigraphic layer features to the seismic stratigraphic layer features. The matched features are used to define a stratigraphic layer interpretation for the reservoir area and the interpretation is presented to a user.

Abstract: A method of evaluating photographer satisfaction includes capturing a first digital image of a target object using a first digital camera of a smart device. A second digital image of a user of the smart device is captured using a second digital camera of the smart device. The second digital image includes an image of the user's facial expression. A satisfaction index is generated for the first digital image by analyzing the user's sentiment related to the first digital image. Analyzing the user's sentiment related to the first digital image includes evaluating the user's facial expression. The satisfaction index is then associated with the first digital image.