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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

项目摘要

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中文摘要
翻译
9407028惠勒该项目的主要目标是让博士后助理(PA)了解在渗流介质中产生的重要的计算工程和数学问题。我们将集中在不确定性估计和开发用于模拟流动和运输过程的并行算法的领域。在合作过程中,PA将开发和应用流动和输送并行软件(包括重新定标技术),并将其与油藏描述、网格化和不确定性评估软件结合在一起,用于实际的BP油藏。该软件将用于分析该油藏的生产动态。该奖学金的参与者包括莱斯大学和英国石油公司,前者的导师是克林特·道森教授和玛丽·F·惠勒教授,后者的导师是迈克尔·克里斯蒂博士。PA将接触到英国石油公司和赖斯目前活动中的几项技术。特别是,莱斯在并行计算和算法开发方面拥有专业知识,而英国石油公司在调整比例技术、油藏特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成为油藏模拟、水文学或任何其他估计不确定性和/或并行计算低调的领域的专家。
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