Improving Oil And Gas Simulation Performance Using Thread And Data Mapping

Oil and gas have been among the most important commodities for over a century. To improve their extraction, companies invest in new technology, which reduces extraction cost and allow new areas to be explored. Computing science has also been employed to support advances in oil and gas extraction technologies. Techniques such as computing simulation can be used to evaluate scenarios quicker and with a lower cost. Several mathematical models that simulate oil and gas extraction are based on wave propagation. To simulate with high performance, the software must be written considering the characteristics of the underlying hardware. In this context, our work shows how thread and data mapping policies can improve the performance of a wave propagation model provided by Petrobras, a multinational corporation in the petroleum industry. In our experiments, we are revealing that, with smart mapping policies, we reduced the execution time by up to 48.6% on Intel's multi-core Xeon.