Abstract: There is provided a system and process to predict the petrophysical properties of unclean rock samples using Medical-CT scanned three-dimensional (3D) images at both low and high resolutions. The captured 3D images are passed through machine learning, statistical methods and data lookups to identify the petrophysical properties of rock samples. Also disclosed is the process of measuring phase saturations of a clean rock sample or porous medium using Micro-CT scanned three-dimensional (3D) images.

Abstract: A system receives data relating to a ticket from a customer of a business organization. The system processes the data using an ensemble machine learning artificial intelligence processor. The ensemble machine learning artificial intelligence processor includes a natural text language processor for analyzing text exchanged between the customer and an agent of the business organization. The ensemble machine artificial intelligence processor also includes a plurality of multivariate machine learning processors for analyzing a handling of the ticket by the business organization. The system generates results from the analysis of the natural language text processor and the analyses of the plurality of multivariate machine learning processors, and provides the results to a meta-learner processor.

Abstract: A computer-implemented method is disclosed which detects a change in a set of data sources of a DSS, such as addition of a new data source, removal of an existing data source, or a schema change of an existing data source in the set. A first set of DSS updates for pending ETL jobs of an ETL engine of the DSS are automatically determined based on the change in the set of data sources. The method automatically updates, without canceling, the pending ETL jobs of the ETL engine based on the first set of DSS updates. A second set of DSS updates for a semantic layer of a BI engine of the DSS are automatically determined based on the change in the set of data sources and based on the first set of DSS updates. The semantic layer is automatically updated based on the second set of DSS updates.