Integrated Numerical Simulation for Shale Gas Reservoirs
页岩气藏综合数值模拟
基本信息
- 批准号:RGPIN-2018-04307
- 负责人:
- 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:2020
- 资助国家:加拿大
- 起止时间:2020-01-01 至 2021-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
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.
过去两年,加拿大能源行业有能力融资和执行非常规石油和天然气(致密油和页岩油和天然气、重油和沥青)项目的加拿大公司数量有所减少。 Brion Energy、Canadian Natural Resources、Cenovus、Devon Energy、Imperial Oil、MEG Energy、Nexen 和 Suncor Energy 等总部位于加拿大的公司正在进军核心非常规业务。为了成功做到这一点,他们需要基础知识来更好地了解瞬态气流、应力敏感性、地质力学效应和非常规石油和天然气生产的传输机制。全球常规油气资源日益减少,非常规油气资源被认为是替代能源。这些非常规资源的开发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用于开采非常规石油和天然气资源的商业上可行的方法。但尽管它们在经济上取得了成功,但它们的整个水库生命周期以及如何继续减少其环境影响仍存在许多未知数。
拟议研究计划的目标是开发耦合矩阵、天然裂缝和水力裂缝以及地质力学的综合模型,以准确模拟多尺度页岩气储层中的流体流动,并进行相应的储层模拟,以准确预测这些储层的生产性能。水库。 PI 正在进行的研究计划使用新颖的油藏模拟模型进行了系统研究,以了解和评估石油和天然气行业已确定为潜在采收过程的采收过程。该研究计划的长期工作是在这些恢复过程中开发创新概念和方法。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,支持经济和环境上可接受的新恢复项目。加拿大人将在全球向低碳能源转型中发挥重要作用,同时实现最大限度地回收我们丰富的化石燃料的愿望。该研究计划对于非常规油气藏的长期可行和成功生产至关重要。
项目成果
期刊论文数量(0)
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会议论文数量(0)
专利数量(0)
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Comprehensive Analysis of Gene Expression Profiles Identifies a P4HA1-Related Gene Panel as a Prognostic Model in Colorectal Cancer Patients
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10.1089/cbr.2021.0242 - 发表时间:
2021-09-13 - 期刊:
- 影响因子:3.4
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Investigation of enhancing coal permeability with high-temperature treatment
高温处理提高煤透气性的研究
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10.1016/j.fuel.2020.120082 - 发表时间:
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Numerical Modeling of Fracture Height Propagation in Multilayer Formations Considering the Plastic Zone and Induced Stress.
- DOI:
10.1021/acsomega.2c01131 - 发表时间:
2022-05-31 - 期刊:
- 影响因子:4.1
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Du, Juan;Chen, Xiang;Liu, Pingli;Zhao, Liqiang;Chen, Zhangxing;Yang, Jian;Chen, Weihua;Wang, Guan;Lou, Fengcheng;Miao, Weijie - 通讯作者:
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Chen, Zhangxing的其他文献
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{{ truncateString('Chen, Zhangxing', 18)}}的其他基金
Integrated Numerical Simulation for Shale Gas Reservoirs
页岩气藏综合数值模拟
- 批准号:
RGPIN-2018-04307 - 财政年份:2022
- 资助金额:
$ 3.35万 - 项目类别:
Discovery Grants Program - Individual
NSERC / Energi Simulation Industrial Research Chair in Reservoir Simulation
NSERC / Energi Simulation 油藏模拟工业研究主席
- 批准号:
365863-2017 - 财政年份:2021
- 资助金额:
$ 3.35万 - 项目类别:
Industrial Research Chairs
Development of a hybrid quantum-classical reservoir simulator and evaluation of quantum computing hardware
混合量子经典储层模拟器的开发和量子计算硬件的评估
- 批准号:
561106-2020 - 财政年份:2021
- 资助金额:
$ 3.35万 - 项目类别:
Alliance Grants
Extended Reality Innovations for Reservoir Engineering
油藏工程的扩展现实创新
- 批准号:
554596-2020 - 财政年份:2021
- 资助金额:
$ 3.35万 - 项目类别:
Alliance Grants
Integrated Numerical Simulation for Shale Gas Reservoirs
页岩气藏综合数值模拟
- 批准号:
RGPIN-2018-04307 - 财政年份:2021
- 资助金额:
$ 3.35万 - 项目类别:
Discovery Grants Program - Individual
Study of additives in oil sands recovery processes
油砂回收过程中添加剂的研究
- 批准号:
518143-2017 - 财政年份:2020
- 资助金额:
$ 3.35万 - 项目类别:
Collaborative Research and Development Grants
Development of a hybrid quantum-classical reservoir simulator and evaluation of quantum computing hardware
混合量子经典储层模拟器的开发和量子计算硬件的评估
- 批准号:
561106-2020 - 财政年份:2020
- 资助金额:
$ 3.35万 - 项目类别:
Alliance Grants
Extended Reality Innovations for Reservoir Engineering
油藏工程的扩展现实创新
- 批准号:
554596-2020 - 财政年份:2020
- 资助金额:
$ 3.35万 - 项目类别:
Alliance Grants
NSERC / Energi Simulation Industrial Research Chair in Reservoir Simulation
NSERC / Energi Simulation 油藏模拟工业研究主席
- 批准号:
365863-2017 - 财政年份:2020
- 资助金额:
$ 3.35万 - 项目类别:
Industrial Research Chairs
Accelerating and Visualizing Machine Learning for Reservoir Simulation
加速和可视化用于油藏模拟的机器学习
- 批准号:
543869-2019 - 财政年份:2020
- 资助金额:
$ 3.35万 - 项目类别:
Collaborative Research and Development Grants
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Integrated Numerical Simulation for Shale Gas Reservoirs
页岩气藏综合数值模拟
- 批准号:
RGPIN-2018-04307 - 财政年份:2022
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Discovery Grants Program - Individual
Integrated Numerical Simulation for Shale Gas Reservoirs
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Integrated Numerical Simulation for Shale Gas Reservoirs
页岩气藏综合数值模拟
- 批准号:
RGPIN-2018-04307 - 财政年份:2019
- 资助金额:
$ 3.35万 - 项目类别:
Discovery Grants Program - Individual
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- 批准号:
RGPIN-2018-04307 - 财政年份:2018
- 资助金额:
$ 3.35万 - 项目类别:
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