Approximately 200 simulation jobs were created, including the aforementioned durations and geological uncertainty parameters, through Design of Experiments (DoE).
Leiden Classical allows students (and the public) to submit particle-system simulation jobs, and is thus a resource for both education and research.
In-silico material design that Materials Genome Initiative promotes usually involves running large-scale high-throughput simulation jobs for structures screening and simulation of materials properties.
This determines a need for the management of large number of simulation jobs, large quantities of data at each simulation stage, and availability of computing resources.
The Latin Hypercube Sampling was adopted to create these 200 simulation jobs that then evaluated by the compositional reservoir simulation to calculate the cumulative oil production by the end of 10 prediction years.
This study showed the feasibility of integrating and automating a HPC loop involving the generation of suitable design of experiments (DOE), creating simulation jobs, deploying/executing it on a HPC cluster, and scripting outputs in a useful format.
