会议名称(中文)：  2014年SPE油藏模拟大规模计算和大数据挑战大会 
会议名称(英文)：  SPE Large Scale Computing and Big Data Challenges in Reservoir Simulation Conference and Exhibition 
所属学科：  计算机应用技术,人工智能,石油与天然气工程及钻采工程  
开始日期：  2014-09-15 
结束日期：  2014-09-17 
所在国家：  土耳其 
所在城市：  土耳其 
具体地点：  Istanbul, Turkey 
主办单位：  美国石油工程师学会 

[ 会务组联系方式 ]
联系人：  Jeremy George  
E-MAIL：  jgeorge@spe.org 
  
会议网站：  http://www.spe.org/events/mmfd/2014/  
会议背景介绍：  Energy is a vital substance required throughout the world to maintain our current civilisation and advance further. A significant portion of our energy needs come from oil and gas. Giant oil and gas reservoirs of the Middle East and other regions contribute to a major portion of the world’s hydrocarbon supply. Mathematical models in fluid dynamics and flow through porous media play a critical role in developing and managing these reservoirs.

Today, oil companies and universities work on highly sophisticated mathematical and computational methods describing multi-phase, multi-component fluid flow in reservoirs, pipeline networks and surface separators. Numerical solutions of these highly nonlinear coupled partial differential equations require moderate to sophisticated computing platforms.

As giant fields mature, being able to utilise the vast amount of measured data with higher accuracy in simulators paves the road to recover more hydrocarbons and thus respond to the world’s energy needs.

This conference will gather mathematicians and engineers to address challenges in mathematical modelling of compressible multiphase flow in porous media with reactions, fractured media, flow in pipes and pipe networks, coupled numerical solution of porous and non-porous media, geomechanics, diffusion, dispersion problems, unstructured grid generation, linear and nonlinear solvers, multi-grid methods, new discretisation methods, parallel computing, hybrid computing involving multicore CPUs and GPUs, scientific visualisation of large data, real field studies for giant oil and gas reservoirs using simulators.
 
征文范围及要求：  Technical Sessions

Session 1: Scalable Solvers for Linear and Nonlinear Systems
Session 2: Big Data Discovery and Its Impact on Decision Making
Session 3: Hardware Advances and Code Optimisation
Session 4: Novel Discretisations of PDEs and Impact on Solvers
Session 5: Inverse Problems, Uncertainty Quantification and Optimisation
Session 6: Case Studies/Large Scale Simulations