Saudi Arabian Oil Company

Khalid S Al-Wahabi

Roger R Sung

Steven Duffy Russell

Muhammad Razi B Abu-Bakar

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.

System and method for producing display of petrophysical property height profile for both vertical and horizontal wellbores

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.

Proactive failure recovery model for distributed computing using a checkpoint frequency determined by a MTBF threshold

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. The determinations made for the different scenarios can then be assembled as postulated models for sections of interest of the reservoir grid, and the postulated models evaluated to more accurately obtain reservoir attributes over the reservoir, even for areas where no well intersects the reservoir.

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Dammam, Saudi Arabia

Khalid S Al-Wahabi