石油开采中两类非线性模型的并行计算方法的研究

项目名称： 石油开采中两类非线性模型的并行计算方法的研究

项目编号： No.61273179

项目类型： 面上项目

立项/批准年度： 2013

项目学科： 自动化技术、计算机技术

项目作者： 陈忠

作者单位： 长江大学

项目金额： 82万元

中文摘要： 在石油开采中有两类非常重要的非线性模型：描述地下流体分布的油藏数值模拟模型及实现油田开发可持续发展的油田开发规划模型。随着石油工业的发展和油田的不断开发，石油开采中提出的非线性模型的规模越来越大，采样点的总数多达几百万甚至上千万，常规算法已经难以满足要求，而设计高性能的并行计算方法有望能较好地解决这一问题，这对促进我国相当部分已进入高含水后期老油田的高产、稳产势必具有重要意义。本项目将从两方面开展研究。首先，从理论上研究大油藏的整体模拟并行计算方法，并利用高性能并行计算机系统的结构特性，研制并行大油藏模拟软件，实现基于CUDA和多节点CPU/GPU协同并行软硬件平台的大油藏模拟数据交互式三维可视化。其次，构造油田开发规划的二层规划模型，并设计其并行求解方法。该研究项目具有重要的理论和应用价值，研究成果具有广泛的应用前景，所产生的社会效益和经济效益将是重大的。

中文关键词： 油藏数值模拟；油田开发规划；并行可视化；二层规划；算法

英文摘要： There are two kinds of very important nonlinear models in oil exploitation: the petroleum reservoir simulation model used for describing the subsurface fluid distribution and the oil-field exploration model to achieve the sustainable development of the oil-field. With the development of the oil industry and the constant exploration of oil-fields, the scale of nonlinear models in oil exploration will become large and large, because the total number of the overall simulated network of reservoir reaches as much as several millions or even ten millions, it is difficult for the traditional algorithm to meet the demands. However, it is hopeful to design parallel algorithm of high performance for the better solution of the problem which is significantly meaningful for the high-yield and stable performance of a large amount of the old oil-fields in the high water-cut stage. The program will be studied from the following two aspects. Firstly, it theoretically studies the overall simulation parallel algorithm of reservoir. By using the structural characteristics of highly performance parallel computer system, it develops the software of parallel reservoir simulation based on CUDA and multiple node CPU/GPU collaborative and parallel hardware and software platform, in order to achieve the goal of interactive 3D visualizatio

英文关键词： petroleum reservoir simulation；oil-field exploration programming；parallel visualization；bilevel programming；algorithm