Hybrid Technologies For Computation Of Enhanced Oil Recovery Problem Using Mobile Devices

Abstract

Recently heterogeneous computational systems consisting of supercomputers, FPGA, mobile devices in a state of active evolution. Problems related to enhanced oil recovery among most computational intensive ones. Given paper considers stages of hybrid parallel algorithm development for solving three-dimensional problem of the oil displacement by the method of polymer injection into oil reservoir and stages of creation of system of distributed computations on heterogeneous computational resources using mobile device. System based on using mobile device for input of computational parameters and obtaining data from sensors located directly at production field, their preprocessing using FPGA and transferring through long range and energy efficient wireless communication channels onto mobile device. After determination of computational characteristics mobile device allows to perform computation on remote heterogeneous computational resources which allows to considerably reduce computation time. System has ability to connect to computational clusters and Grids as well as enterprise cloud services consisting of GPU- and FPGA-based computers. Implemented parallel algorithms allow to conduct computation on CPUs. Where there are coprocessors (GPU, KNetherlands) available system automatically determine their computational capabilities and distributes computational tasks among them. If remote high-performance resources not available computations cam be conducted on a local mobile device. There high-performance mobile devices (Xiamoi MiPad, nVidia Shield) which allow to implement parallel algorithms using CUDA technology. Computation results displayed directly on mobile device. Proposed technology of computation of enhanced oil recovery models allows to conduct more accurate computations and perform them directly near production field which provides quicker response to changes in field condition.