Abstract: In one embodiment, the invention provides a system including at least one computing device for enhancing the recovery of heavy oil in an underground, near-surface crude oil extraction environment by performing a method comprising sampling and identifying microbial species (bacteria and/or fungi) that reside in the underground, near-surface crude oil extraction environment; collecting rock and fluid property data from the underground, near-surface crude oil extraction environment; collecting nutrient data from the underground, near-surface crude oil extraction environment; identifying a preferred microbial species from the underground, near-surface crude oil extraction environment that can transform the heavy oil into a lighter oil; identifying a nutrient from the underground, near-surface crude oil extraction environment that promotes a proliferation of the preferred microbial species; and introducing the nutrient into the underground, near-surface crude oil extraction environment.

Abstract: In one embodiment, the invention provides an analytical processing system for enhancing the recovery of heavy oil in an underground, near-surface crude oil extraction environment, comprising: a data collection engine configured for receiving data relating to the underground, near-surface crude oil extraction environment, wherein the data includes in situ microbial species data, oil properties data and in situ nutrient information that are identified as being germane to the underground, near-surface crude oil extraction environment; a data warehouse for storing data collected from the data collection engine; and a data modeling system for analyzing data stored in the data warehouse and facilitating an identity of a preferred microbial species from the underground, near-surface crude oil extraction environment that can transform the heavy oil into a lighter oil.

Abstract: A system, method, and program product for interpreting, optimizing, and customizing data mining models through the use of statistical techniques that utilize diagnostic measures and statistical significance testing. A data processing system is disclosed that includes a data mining system for mining data from a data warehouse in accordance with a data model, wherein the data model defines how data groups can be partitioned; and a data group analysis system that calculates a set of diagnostic measures and performs statistical significance tests for a defined data group.

Abstract: In one embodiment, the invention provides an analytical processing system for enhancing the recovery of heavy oil in an underground, near-surface crude oil extraction environment, comprising: a data collection engine configured for receiving data relating to the underground, near-surface crude oil extraction environment, wherein the data includes in situ microbial species data, oil properties data and in situ nutrient information that are identified as being germane to the underground, near-surface crude oil extraction environment; a data warehouse for storing data collected from the data collection engine; and a data modeling system for analyzing data stored in the data warehouse and facilitating an identity of a preferred microbial species from the underground, near-surface crude oil extraction environment that can transform the heavy oil into a lighter oil.

Abstract: A system and method for enhancing the recovery of heavy oil in an oil extraction environment by feeding nutrients to a preferred microbial species (bacteria and/or fungi). A method is described that includes the steps of: sampling and identifying microbial species that reside in the oil extraction environment; collecting fluid property data from the oil extraction environment; collecting nutrient data from the oil extraction environment; identifying a preferred microbial species from the oil extraction environment that can transform the heavy oil into a lighter oil; identifying a nutrient from the oil extraction environment that promotes a proliferation of the preferred microbial species; and introducing the nutrient into the oil extraction environment.

Abstract: A system, method, and program product for interpreting, optimizing, and customizing data mining models through the use of statistical techniques that utilize diagnostic measures and statistical significance testing. A data processing system is disclosed that includes a data mining system for mining data from a data warehouse in accordance with a data model, wherein the data model defines how data groups can be partitioned; and a data group analysis system that calculates a set of diagnostic measures and performs statistical significance tests for a defined data group.

Abstract: A system, method and program product for analyzing performance of a system comprised of a database and its related operating environment. A system is provided that includes: a set of monitoring tools for monitoring event data from a database application and from an operating environment running the database application; a performance data warehouse for storing the event data; a modeling system for generating a performance mining model of the database system based on the event data stored in the performance data warehouse; and a system for comparing a stream of current event data against the performance mining model to identify performance issues in the database system.