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 product quality analysis and control system is provided. The product quality analysis and control system includes a processing system that is configured to receive data of objective qualities of a product from multiple data gathering modules. Each of the multiple data gathering modules is respectively positioned at corresponding nodes of a supply chain and is configured to receive from sensors data of objective qualities of a product when the product is at each of the corresponding nodes. The processing system includes a model repository and a data evaluation module. The data evaluation module is configured to select, from the model repository, a model associated with a type of the product and to use the model to analyze the data to identify changes in the objective qualities along the supply chain.

Abstract: A product quality analysis and control system is provided. The product quality analysis and control system includes a processing system that is configured to receive data of objective qualities of a product from multiple data gathering modules. Each of the multiple data gathering modules is respectively positioned at corresponding nodes of a supply chain and is configured to receive from sensors data of objective qualities of a product when the product is at each of the corresponding nodes. The processing system includes a model repository and a data evaluation module. The data evaluation module is configured to select, from the model repository, a model associated with a type of the product and to use the model to analyze the data to identify changes in the objective qualities along the supply chain.

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 system, method and program product for managing hydrocarbon energy production. A hydrocarbon field modeler models physical characteristics of a hydrocarbon energy field. A load predictor predicts processing workload in modeling the hydrocarbon energy field, and identifying a balanced modeling unit distribution across multiple processors simulating field production. A load distribution unit distributes the modeling units across the processors for a balanced modeling unit distribution. The load predictor and load distribution unit proactively shifts loads to maintain workload balanced throughout the simulation.

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: 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 method and computer program product for managing hydrocarbon field production, e.g., petro-chemical reservoir production. The hydrocarbon field is modeled using the finite volume method (FVM) model and the finite element method (FEM). Centroids are located in each FVM cell and each FEM element and overlapping cells are identified. After determining the distance between centroids for overlapping cells, fluid characteristics are mapped to the FEM element centroids, weighted inversely for distance between the respective centroids. A permeability/conductivity weighted average is determined for pore pressure and temperature of sub-volumes clustered around each FEM element node. Field production may be adjusted in response to FEM element node characteristics.

Abstract: An embodiment includes a method for use in importing geomechanical data from one or more references into a knowledge base. The method includes selecting at least one chart within at least a given one of the one or more references; extracting at least a subset of the geomechanical data in the selected chart; preparing one or more learnable models at least in part from the geomechanical data; and loading the learnable models into the knowledge base for use at least in part by at least one machine learning classifier.

Abstract: An embodiment includes a method for use in importing geomechanical data from one or more references into a knowledge base. The method includes selecting at least one chart within at least a given one of the one or more references; extracting at least a subset of the geomechanical data in the selected chart; preparing one or more learnable models at least in part from the geomechanical data; and loading the learnable models into the knowledge base for use at least in part by at least one machine learning classifier.

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 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, method and program product for managing hydrocarbon energy production. A hydrocarbon field modeler models physical characteristics of a hydrocarbon energy field. A load predictor predicts processing workload in modeling the hydrocarbon energy field, and identifying a balanced modeling unit distribution across multiple processors simulating field production. A load distribution unit distributes the modeling units across the processors for a balanced modeling unit distribution. The load predictor and load distribution unit proactively shifts loads to maintain workload balanced throughout the simulation.

Abstract: A method and computer program product for managing hydrocarbon field production, e.g., petro-chemical reservoir production. The hydrocarbon field is modeled using the finite volume method (FVM) model and the finite element method (FEM). Centroids are located in each FVM cell and each FEM element and overlapping cells are identified. After determining the distance between centroids for overlapping cells, fluid characteristics are mapped to the FEM element centroids, weighted inversely for distance between the respective centroids. A permeability/conductivity weighted average is determined for pore pressure and temperature of sub-volumes clustered around each FEM element node. Field production may be adjusted in response to FEM element node characteristics.