International Business Machines Corporation

Repsol, S.a.

Carmen Nilda Mena Paz

Paul Borrel

Matthias Kormaksson

Paulo Rodrigo Cavalin

Eduardo Rocha Rodrigues

Jose Maria Segura Serra

Pablo Enrique Vargas Mendoza

Paula Aida Sesini

Nubia Aurora Gonzalez Molano

Freddy Ernesto Mackay Espindola

Roberto Federico Ausas

Jaione Tirapu Azpiroz

Ana Paula Appel

Ulisses Mello

Ankur Narang

Alvaro Bueno Buoro

Kamal Das

Michael Raghib

Lashmikantha Mookanahallipatna Ramasesha

Mookanahallipatna Ramasesha Lashmikantha

Carlos Raoni De Alencar Mendes

Alexandre Alves

Nubia Aurora González Molano

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.

Machine learning assisted reservoir simulation

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.

Product quality analysis and control

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.

Stratigraphic layer identification from seismic and well data with stratigraphic knowledge base

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.

Identification of natural fractures in wellbore images using machine learning

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.

System, method and computer program product for fracture pattern characterization in naturally fractured reservoirs

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.

Managing hydrocarbon energy production while proactively maintaining a balanced workload

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.

Uncertainty visualization

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.

Method of managing petro-chemical reservoir production and program product therefor

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Rio de Janeiro, Brazil

Carmen Nilda Mena Paz