Landmark Graphics Corporation

Joe Lynch

Genbao Shi

Andres Cesar Callegari

Travis S Ramsay

Michael Dunn

Travis Ramsay

Method and system for optimizing production from an oil and gas reservoir includes selecting a geocellular grid representing at least one property of the reservoir, defining a data range for the property that reflects uncertainty regarding which values may be used for the property, defining a first reservoir simulation model, simulating production from the reservoir with the model using the at least one property, comparing the output of the simulated production from the reservoir with a predetermined criteria based on historical data, and modifying the property to a different value within the data range for the property if the predetermined historical criteria is not met. These steps may be repeated for at least two values for the property within the data range. The above may be repeated for a second reservoir model and the outputs of the simulated production for the models may then be ranked according to predefined criteria.

Integrated a priori uncertainty parameter architecture in simulation model creation

Systems and methods for optimizing hardware resource utilization when processing variable-precision data are provided. Application data objects are processed using either a central processing unit (CPU) or the relatively lower precision data processing requirements of a dedicated math processing unit, e.g., a graphics processing unit (GPU), based on a level of precision determined for each application data object. The level of precision is used to calculate at least one bounding value for each application data object. The bounding value is compared to a selected precision threshold in order to determine whether the application data object can be processed by the GPU at a relatively lower level of precision without an undesirable loss of computational precision.

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Katy, TX, United States of America

Joe Lynch