Abstract: In solving linear systems of billions of equations resulting from reservoir simulator pressure equations for giant reservoirs organized into fine-grid models, a multi-level methodology acquires a fast and coarser grid solution to be used as a more accurate initial estimate for the fine grid problem. Solver iterations performed on the coarser grid in reduced processing time generate a better initial estimate, resulting in fewer of the more expensive iterations at the fine-grid level.

Abstract: A computer-based system performs iterative linear solution of giant systems of linear equations with the computational acceleration capabilities of GPU's (Graphical Processing Units). Processing is performed in a heterogeneous (hybrid) computer environment composed of both computer data processing units (CPU's) and GPU's. The computational acceleration in processing provides an order of magnitude speed improvement over other methodology which utilizes only CPU's. The present invention enables reservoir studies to be carried out within time constraints, and real-time reservoir simulations to be made while keeping pace with online data acquisition.

Abstract: A computer system analyzes data from giant subsurface hydrocarbon reservoirs which are organized into a number of component cells and simulates the conditions in the reservoirs based on determination of thermodynamic phase equilibrium using equation of state (EOS) modeling. The computer system takes the form of a heterogeneous (hybrid) computer environment which includes computer processor units (or CPU's) and graphical processing units (or GPU's). The system takes advantage of computational acceleration capabilities of the graphical processing units while utilizing the computer processing units for execution control, input/output of data and memory. Processing time requirements are reduced by more than an order of magnitude speed improvement over existing methods.

Abstract: A computer-based system performs iterative linear solution of giant systems of linear equations with the computational acceleration capabilities of GPU's (Graphical Processing Units). Processing is performed in a heterogeneous (hybrid) computer environment composed of both computer data processing units (CPU's) and GPU's. The computational acceleration in processing provides an order of magnitude speed improvement over other methodology which utilizes only CPU's. The present invention enables reservoir studies to be carried out within time constraints, and real-time reservoir simulations to be made while keeping pace with online data acquisition.

Abstract: A computer system analyzes data from giant subsurface hydrocarbon reservoirs which are organized into a number of component cells and simulates the conditions in the reservoirs based on determination of thermodynamic phase equilibrium using equation of state (EOS) modeling. The computer system takes the form of a heterogeneous (hybrid) computer environment which includes computer processor units (or CPU's) and graphical processing units (or CPU's). The system takes advantage of computational acceleration capabilities of the graphical processing units while utilizing the computer processing units for execution control, input/output of data and memory. Processing time requirements are reduced by more than an order of magnitude speed improvement over existing methods.

Abstract: A computer-based system analyzes reservoir simulation results with a rule-based event monitor to trigger appropriate warnings in the event any of a number of applicable reservoir operation conditions is detected as likely to occur. The conditions may be automatically analyzed on multi-dimensional data during successive time steps to detect events indicated as needing attention or analysis and thus to alert reservoir engineers about operating conditions in the reservoir so that the engineers may make appropriate operational or simulation changes. The conditions may also be automatically analyzed in a batch processing mode of a set or subset of available time steps to detect and generate a log of events encountered that are indicated as needing attention or analysis.

Abstract: A computer-based system generates digital and audio responses to changes in fluid and rock properties of a producing hydrocarbon reservoir for surveillance analysis. The system calibrates observed changes against directly-measured field data in order to optimize the reservoir model. The changes may include, for example, stress changes in rock, impedance changes in rock, and fluid density changes.

Abstract: A fully-parallelized, highly-efficient compositional implicit hydrocarbon reservoir simulator is provided. The simulator is capable of solving giant reservoir models, of the type frequently encountered in the Middle East and elsewhere in the world, with fast turnaround time. The simulator may be implemented in a variety of computer platforms ranging from shared-memory and distributed-memory supercomputers to commercial and self-made clusters of personal computers. The performance capabilities enable analysis of reservoir models in full detail, using both fine geological characterization and detailed individual definition of the hydrocarbon components present in the reservoir fluids.

Abstract: A computer-based system analyzes reservoir simulation results with a rule-based event monitor to trigger appropriate warnings in the event any of a number of applicable reservoir operation conditions is detected as likely to occur. The conditions may be automatically analyzed on multi-dimensional data during successive time steps to detect events indicated as needing attention or analysis and thus to alert reservoir engineers about operating conditions in the reservoir so that the engineers may make appropriate operational or simulation changes. The conditions may also be automatically analyzed in a batch processing mode of a set or subset of available time steps to detect and generate a log of events encountered that are indicated as needing attention or analysis.

Abstract: A computer-based system generates digital and audio responses to changes in fluid and rock properties of a producing hydrocarbon reservoir for surveillance analysis. The system calibrates observed changes against directly-measured field data in order to optimize the reservoir model. The changes may include, for example, stress changes in rock, impedance changes in rock, and fluid density changes.

Abstract: A fully-parallelized, highly-efficient compositional implicit hydrocarbon reservoir simulator is provided. The simulator is capable of solving giant reservoir models, of the type frequently encountered in the Middle East and elsewhere in the world, with fast turnaround time. The simulator may be implemented in a variety of computer platforms ranging from shared-memory and distributed-memory supercomputers to commercial and self-made clusters of personal computers. The performance capabilities enable analysis of reservoir models in full detail, using both fine geological characterization and detailed individual definition of the hydrocarbon components present in the reservoir fluids.