Abstract: A computerized system creates and communicates to a user a wellbore property-height profile of a selected property, such as permeability, at each cell location defining the wellbore. The property-height value is determined based on a “summation from base” algorithm. The system may also be used to create a property-height profile in horizontal and slant wells, by creating a plurality of vertical pseudo-wells which intersect the trajectory of the horizontal or slant well.

Abstract: This disclosure generally describes methods and systems, including computer-implemented methods, computer-program products, and computer systems, for providing a proactive failure recovery model for distributed computing. One computer-implemented method includes building a virtual tree-like computing structure of a plurality of computing nodes, for each computing node of the virtual tree-like computing structure, performing, by a hardware processor, a node failure prediction model to calculate a mean time between failure (MTBF) associated with the computing node, determining whether to perform a checkpoint of the computing node based on a comparison between the calculated MTBF and a maximum and minimum threshold, migrating a process from the computing node to a different computing node acting as a recovery node, and resuming execution of the process on the different computing node.

Abstract: This disclosure generally describes methods and systems, including computer-implemented methods, computer-program products, and computer systems, for providing a proactive failure recovery model for distributed computing. One computer-implemented method includes building a virtual tree-like computing structure of a plurality of computing nodes, for each computing node of the virtual tree-like computing structure, performing, by a hardware processor, a node failure prediction model to calculate a mean time between failure (MTBF) associated with the computing node, determining whether to perform a checkpoint of the computing node based on a comparison between the calculated MTBF and a maximum and minimum threshold, migrating a process from the computing node to a different computing node acting as a recovery node, and resuming execution of the process on the different computing node.

Abstract: Reservoir properties or attributes such as water saturation, porosity and permeability are determined directly at each cell of a three dimensional grid of a subsurface hydrocarbon reservoir. Input parameters based on original data from petrophysical measurements and other attributes of the reservoir and its subsurface features are generated over a range of uncertainties for the individual cells. The predicted input parameters for the individual cells are provided as processing inputs for petrophysical algorithms. The input parameters at different measures of possible uncertainties for the cells of the reservoir are processed using cluster computers to determine on a cell-by-cell basis a number of possible scenarios or results for the reservoir attributes of interest.

Abstract: A computerized system creates and communicates to a user a wellbore property-height profile of a selected property, such as permeability, at each cell location defining the wellbore. The property-height value is determined based on a “summation from base” algorithm. The system may also be used to create a property-height profile in horizontal and slant wells, by creating a plurality of vertical pseudo-wells which intersect the trajectory of the horizontal or slant well.

Abstract: Reservoir properties or attributes such as water saturation, porosity and permeability are determined directly at each cell of a three dimensional grid of a subsurface hydrocarbon reservoir. Input parameters based on original data from petrophysical measurements and other attributes of the reservoir and its subsurface features are generated over a range of uncertainties for the individual cells. The predicted input parameters for the individual cells are provided as processing inputs for petrophysical algorithms. The input parameters at different measures of possible uncertainties for the cells of the reservoir are processed using cluster computers to determine on a cell-by-cell basis a number of possible scenarios or results for the reservoir attributes of interest.