Abstract: Embodiments of systems, non-transitory computer-readable medium having one or more computer programs stored therein, and computer-implemented methods are provided to enhance hydrocarbon reservoir simulation for a plurality of hydrocarbon reservoirs. According to embodiments, a plurality of fluid flow simulation runs in each of a plurality of hydrocarbon reservoirs are initiated. Then, each of a first set of one or more of the plurality of simulation runs are terminated while each of a second set of one or more of the plurality of simulation runs continue. Terminating each of the first set of simulation runs can increase processing availability within a collective limited and predetermined combined computing capacity of one or more processors to another one or more of the plurality of simulation runs being run. Consequently, terminating each of the first set of simulation runs can thereby reduce total hydrocarbon reservoir simulation run time.

Abstract: Larger, expandable high performance computing (HPC) clusters which are of different generations and performance speeds are provided for reservoir simulation. This provides scalability and flexibility for running computation-intensive reservoir simulation jobs on HPC machines. Availability of larger numbers of processors in a processor pool makes simulation of giant models possible and also reduces fragmentation when multiple jobs are run. A hardware performance based domain decomposition is performed which results in computation load balancing. The reservoir domain is decomposed efficiently to reduce communication overhead. Adaptive detection of the available mix of computation resources is performed, and reservoir simulation decomposition methodology adjusts the distribution of load based on the available hardware and different processor generation resources to minimize the reservoir simulation runtime.

Abstract: The present disclosure describes methods, systems, and computer program products for circumventing parallel processing load imbalance. One computer-implemented method includes generating a library function for a plurality of parallel-processing nodes, receiving timing statistics from each of the plurality of parallel-processing nodes, the timing statistics generated by executing the library function on each parallel-processing node, determining that a faulty parallel-processing node exists, signaling a simulator to checkpoint and stop a simulation executing on the parallel processing nodes, and removing the faulty parallel-processing node from parallel processing nodes available to execute the simulation.

Abstract: Embodiments of systems, non-transitory computer-readable medium having one or more computer programs stored therein, and computer-implemented methods are provided to enhance hydrocarbon reservoir simulation for a plurality of hydrocarbon reservoirs. According to embodiments, a plurality of fluid flow simulation runs in each of a plurality of hydrocarbon reservoirs are initiated. Then, each of a first set of one or more of the plurality of simulation runs are terminated while each of a second set of one or more of the plurality of simulation runs continue. Terminating each of the first set of simulation runs can increase processing availability within a collective limited and predetermined combined computing capacity of one or more processors to another one or more of the plurality of simulation runs being run. Consequently, terminating each of the first set of simulation runs can thereby reduce total hydrocarbon reservoir simulation run time.

Abstract: Reservoir simulation is performed for giant reservoir models in a parallel computing platform composed of a number of processor nodes. Automatic precautionary checkpoints are made at regular time intervals when computational time exceeds a preset value. The simulator receives and reacts to signals from a real time monitoring interface tool which monitors the health of the system. Checkpoints are also made done if a system problem which may cause a simulation job to fail is projected. The simulation job is subsequently restarted to continue simulation from the last checkpoint. The monitoring and automatic recovery are done automatically without need for user intervention.

Abstract: Embodiments of systems, non-transitory computer-readable medium having one or more computer programs stored therein, and computer-implemented methods are provided to enhance probing of hydrocarbon reservoir simulation models. Embodiments can utilize an application programming interface (API) to interrogate one or more different hydrocarbon reservoir simulation response surface model proxies (surface model proxies) associated with hydrocarbon reservoir simulation models. The API (a proxy API) can be configured to include preselected operations, and surface model proxies can be in a common image format. Surface model proxies can be interpreted to retrieve simulation data associated with the surface model proxies responsive to operations of the proxy API. Results of operations of the proxy API can also be displayed to probe a hydrocarbon reservoir simulation model associated with a surface model proxy and to thereby estimate probabilities of simulation outcome for potential simulation scenarios yet to be run.

Abstract: The present disclosure describes methods, systems, and computer program products for circumventing parallel processing load imbalance. One computer-implemented method includes generating a library function for a plurality of parallel-processing nodes, receiving timing statistics from each of the plurality of parallel-processing nodes, the timing statistics generated by executing the library function on each parallel-processing node, determining that a faulty parallel-processing node exists, signaling a simulator to checkpoint and stop a simulation executing on the parallel processing nodes, and removing the faulty parallel-processing node from parallel processing nodes available to execute the simulation.

Abstract: Reservoir simulation is performed for giant reservoir models in a parallel computing platform composed of a number of processor nodes. Automatic precautionary checkpoints are made at regular time intervals when computational time exceeds a preset value. The simulator receives and reacts to signals from a real time monitoring interface tool which monitors the health of the system. Checkpoints are also made done if a system problem which may cause a simulation job to fail is projected. The simulation job is subsequently restarted to continue simulation from the last checkpoint. The monitoring and automatic recovery are done automatically without need for user intervention.

Abstract: Larger, expandable high performance computing (HPC) clusters which are of different generations and performance speeds are provided for reservoir simulation. This provides scalability and flexibility for running computation-intensive reservoir simulation jobs on HPC machines. Availability of larger numbers of processors in a processor pool makes simulation of giant models possible and also reduces fragmentation when multiple jobs are run. A hardware performance based domain decomposition is performed which results in computation load balancing. The reservoir domain is decomposed efficiently to reduce communication overhead. Adaptive detection of the available mix of computation resources is performed, and reservoir simulation decomposition methodology adjusts the distribution of load based on the available hardware and different processor generation resources to minimize the reservoir simulation runtime.