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British Petroleum (BP)/Rice University Postdoctoral Fellowship on Parallel Algorithms for Uncertainty Estimationin Permeable Media

British Petroleum (BP)/Rice University Postdoctoral Fellowship on Parallel Algorithms for Uncertainty Estimationin Permeable Media
英国石油公司 (BP)/莱斯大学可渗透介质不确定性估计并行算法博士后奖学金
批准号:
9407028
负责人:
Mary Wheeler
金额:
$7.1万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
1994
资助国家:
美国
项目状态:
已结题
起止时间:
1994-09-01 至 1996-08-31

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中文摘要
翻译
9407028惠勒 该研究的主要目的是暴露博士后助理(PA)的重要计算工程和数学问题所产生的流动通过多孔介质。 我们将专注于不确定性估计和流动和运输过程模拟的并行算法的发展领域。 在奖学金的过程中,PA将开发和应用流动和运输并行软件(包括重新缩放技术)结合油藏表征,网格化和不确定性估计的软件到一个实际的BP油藏。 该软件将用于油藏生产动态分析。 参加这项奖学金的包括莱斯大学,那里的导师将是克林特道森教授和玛丽F。惠勒和英国石油公司,那里的导师将是迈克尔克里斯蒂博士。 巴勒斯坦权力机构将接触到几种技术,这些技术是英国石油公司和赖斯目前活动的一部分。 特别是,Rice在并行计算和算法开发方面拥有专业知识,而BP在重新缩放技术、油藏表征和油井管理方面拥有专业知识。 PA将接受不确定性估计和并行计算新兴领域的工程和数学方面的培训。 这将使PA能够作为水库模拟,水文学或任何其他领域的专家工作,其中估计不确定性和/或并行计算是低调的。
英文摘要
9407028 Wheeler The primary objective of the fellowhsip is to expose the postdoctoral associate (PA) to important computational engineering and mathematics problems arising in flow through porous media. We will focus on the areas of uncertainty estimation and development of parallel algorithms for simulation of flow and transport processes. During the course of the fellowship, the PA will develop and apply flow and transport parallel sofware (including rescaling techniques) combines with software for reservoir characterization, gridding, and uncertainty estimation to an actual BP reservoir. The software will be used in analyzing production performance of the reservoir. The participants in this fellowship include Rice University, where the mentors will be Professors Clint Dawson and Mary F. Wheeler, and British Petroleum, where the mentor will be Dr. Michael Christie. The PA will be exposed to several techniques which are part of BP's and Rice's current activities. In particular, Rice has expertise in parallel computing and algorithm development, while BP has expertise in rescaling techniques, reservoir characterization, and well management. The PA will be trained in the engineering and mathematical aspects of the emerging areas of uncertainty estimation and parallel computation. This will equip the PA to work as a specialist in reservoir simulation, hydrology, or any other areas where estimating uncertainty and/or parallel computation are low key.
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Collaborative Research: High-Fidelity Modeling of Poromechanics with Strong Discontinuities
  • 批准号:
    1911320
  • 项目类别:
    Standard Grant
  • 资助金额:
    $30.0万
  • 财政年份:
    2019
  • 负责人:
    Mary Wheeler
  • 依托单位:
BIGDATA: Collaborative Research: IA: F: Fractured Subsurface Characterization using High Performance Computing and Guided by Big Data
  • 批准号:
    1546553
  • 项目类别:
    Standard Grant
  • 资助金额:
    $82.33万
  • 财政年份:
    2016
  • 负责人:
    Mary Wheeler
  • 依托单位:
Collaborative Research: "Error Estimation, Data Assimilation and Uncertainty Quantification for Multiphysics and Multiscale Processes in Geological Media"
  • 批准号:
    1228320
  • 项目类别:
    Standard Grant
  • 资助金额:
    $26.1万
  • 财政年份:
    2012
  • 负责人:
    Mary Wheeler
  • 依托单位:
CDI-Type II: Collaborative Research: Computational Models for Evaluating Long Term CO2 Storage in Saline Aquifers
  • 批准号:
    0835745
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $168.2万
  • 财政年份:
    2008
  • 负责人:
    Mary Wheeler
  • 依托单位:
海外基金