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Integrated Numerical Simulation for Shale Gas Reservoirs

Integrated Numerical Simulation for Shale Gas Reservoirs
页岩气藏综合数值模拟
批准号:
RGPIN-2018-04307
负责人:
Chen, Zhangxing
金额:
$3.35万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2018
资助国家:
加拿大
项目状态:
已结题
起止时间:
2018-01-01 至 2019-12-31

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中文摘要
翻译
在过去两年中,加拿大能源行业有能力资助和执行非常规油气(致密油和页岩油、重油和沥青)项目的公司数量有所减少。总部位于加拿大的Brion Energy、Canadian Natural Resources、Cenovus、Devon Energy、Imperial Oil、MEG Energy、Nexen和Suncor Energy等公司正在进军核心非常规油气业务。为了成功地做到这一点,他们需要掌握基本的知识,以更好地了解非常规油气生产中的瞬态气体流动、应力敏感性、地质力学效应和输运机制。全球常规油气资源日益减少,非常规油气资源已成为公认的替代能源。这些非常规资源的开发可能会对环境产生巨大的负面影响。社会和政府要求更清洁的资源开发技术,以满足社会能源需求,同时减少温室气体排放和其他环境足迹。水力压裂和定向井钻井技术是商业上可行的非常规油气资源开采方法。但是,尽管它们在经济上取得了成功,但对于它们的整个储层生命周期以及如何继续减少对环境的影响,仍存在许多未知之处。*******该研究计划的目标是建立一个综合的模型耦合矩阵、天然裂缝和水力裂缝以及地质力学,以准确模拟页岩气储层的流体流动,并进行相应的储层模拟,以准确预测这些储层的生产动态。PI正在进行的研究项目使用新型油藏模拟模型进行了系统研究,以了解和评估油气行业确定的潜在采收率过程。这项研究计划的长期工作是在这些恢复过程中发展创新的概念和方法。该方法是双管齐下的:识别和验证有助于油藏模拟模型的创新,这些模型支持新的经济和环境可接受的采收率项目。加拿大将在全球向低碳能源过渡的过程中发挥重要作用,同时实现最大限度地回收我们丰富的化石燃料的愿望。该研究项目对于非常规油气储层的长期可行和成功开采至关重要。*********
英文摘要
The Canadian energy industry has seen a reduction in the past two years in the number of Canadian companies that have the capacity to finance and execute unconventional oil and gas (tight and shale oil and gas, heavy oil and bitumen) projects. Canadian headquartered companies like Brion Energy, Canadian Natural Resources, Cenovus, Devon Energy, Imperial Oil, MEG Energy, Nexen and Suncor Energy are entrenching into core unconventional operations. To do this successfully, they need fundamental knowledge to better understand transient gas flow, stress sensitivity, geomechanical effects and transport mechanisms on unconventional oil and gas production. Conventional oil and gas resources are dwindling globally and unconventional oil and gas resources have been recognized as the alternative energy resources. The development of these unconventional resources can have a huge negative environmental impact. Society and governments are demanding cleaner resources development technologies that meet societal energy needs while reducing greenhouse gas emissions and other environmental footprints. Hydraulic fracturing and directional well drilling techniques are commercially viable methods used to extract unconventional oil and gas resources. But despite their economic success, there are many unknowns about their full reservoir lifecycle and how to continue to reduce their environmental impacts.*******The objectives of the proposed research program will be to develop a comprehensive model coupling matrix, natural and hydraulic fractures, and geomechanics to accurately simulate fluid flow in shale gas reservoirs with multiple scales and perform the corresponding reservoir simulations to accurately predict the production performance of these reservoirs. The PI's ongoing research program has carried out systematic studies using novel reservoir simulation models to understand and evaluate the recovery processes that the oil and gas industry has identified as potential recovery processes. The long-term work of this research program is to develop innovative concepts and approaches in these recovery processes. The approach is two-pronged: to identify and validate innovation that contributes to reservoir simulation models that support new recovery projects that are economically and environmentally palatable. Canadians will play a big role in the global transition to lower carbon energy resources while fulfilling a desire to maximize the recovery of our abundant fossil fuels. This research program is critical to the long-term viable and successful production from unconventional oil and gas reservoirs.*********
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Integrated Numerical Simulation for Shale Gas Reservoirs
  • 批准号:
    RGPIN-2018-04307
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.35万
  • 财政年份:
    2022
  • 负责人:
    Chen, Zhangxing
  • 依托单位:
NSERC / Energi Simulation Industrial Research Chair in Reservoir Simulation
  • 批准号:
    365863-2017
  • 项目类别:
    Industrial Research Chairs
  • 资助金额:
    $54.86万
  • 财政年份:
    2021
  • 负责人:
    Chen, Zhangxing
  • 依托单位:
Development of a hybrid quantum-classical reservoir simulator and evaluation of quantum computing hardware
  • 批准号:
    561106-2020
  • 项目类别:
    Alliance Grants
  • 资助金额:
    $3.64万
  • 财政年份:
    2021
  • 负责人:
    Chen, Zhangxing
  • 依托单位:
Extended Reality Innovations for Reservoir Engineering
  • 批准号:
    554596-2020
  • 项目类别:
    Alliance Grants
  • 资助金额:
    $5.46万
  • 财政年份:
    2021
  • 负责人:
    Chen, Zhangxing
  • 依托单位:
海外基金