Toward Cost-EffectiveReservoir Simulation Solvers on GPUs  

作　　者：Zheng Li Shuhong Wu Jinchao Xu Chensong Zhang 

机构地区：[1]Kunming University of Science and Technology,Kunming 650093,China [2]Research Institute of Petroleum Exploration and Development,CNPC,Beijing 100083,China [3]Department of Mathematics,Penn State University,University Park,PA 16802,USA [4]LSEC&NCMIS,Academy of Mathematics and Systems Science,Beijing 100190,China

出　　处：《Advances in Applied Mathematics and Mechanics》2016年第6期971-991,共21页应用数学与力学进展（英文）

基　　金：support from LSEC.The authors would like to thank RIPED,PetroChina,for providing data for the numerical tests and support through PetroChina New-generation Reservoir Simulation Software(No.2011A-1010);the Program of Research on Continental Sedimentary Oil Reservoir Simulation(No.z121100004912001)founded by Beijing Municipal Science&Technology Commission and PetroChina Joint Research Funding No.12HT1050002654.

摘　　要：In this paper,we focus on graphical processing unit(GPU)and discuss how its architecture affects the choice of algorithm and implementation of fully-implicit petroleum reservoir simulation.In order to obtain satisfactory performance on new many-core architectures such as GPUs,the simulator developers must know a great deal on the specific hardware and spend a lot of time on fine tuning the code.Porting a large petroleum reservoir simulator to emerging hardware architectures is expensive and risky.We analyze major components of an in-house reservoir simulator and investigate how to port them to GPUs in a cost-effective way.Preliminary numerical experiments show that our GPU-based simulator is robust and effective.More importantly,these numerical results clearly identify the main bottlenecks to obtain ideal speedup on GPUs and possibly other many-core architectures.

关 键 词：GPUS reservoir simulation fully-implicit method 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]