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Determination of in-situ stress from borehole deformation

Determination of in-situ stress from borehole deformation
通过钻孔变形确定地应力
批准号:
RGPIN-2019-04765
负责人:
Yin, Shunde
金额:
$1.89万
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:
2022
资助国家:
加拿大
项目状态:
已结题
起止时间:
2022-01-01 至 2023-12-31

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项目成果

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中文摘要
翻译
地应力知识对于最大限度地开采能源和减轻井壁坍塌、瓦斯泄漏等地质和环境灾害至关重要。在世界范围内,地下能源行业正在寻找有效且廉价的手段来量化地应力。传统方法依赖井筒压力信息,但由于流体运移和裂缝动力学相互作用的复杂性,使得地应力反演中使用的压力解释存在不确定性,因此这种方法容易产生误差。由于滤失测试的性质,滤失压力数据很少,而水力压裂试验需要很高的成本才能获得必要的井眼压力。他说,我花了10年的时间研究一种方法,通过基于软计算的反分析来利用钻孔变形信息来估计地应力,这种方法既便宜又准确,并已初见成效。然而,作为未来五年的目标,仍有三个挑战需要研究:(1)井眼变形机理需要区分和解释:(2)反分析中优化问题的高维需要先进的软计算技术;(3)受地应力作用的钻孔在现场范围内变形的不可重复性需要先进的数值模型进行模拟。据报道,该计划的目标是:(1)开展实验室真三轴试验,重点研究钻孔变形的不同机理。提出了(2)在地应力确定的反分析中增强优化的高维性能。根据在实验室中观察到的机理,中国决定(3)开发先进的数值模型来模拟井眼变形。他说,拟议的研究计划将提供一种准确有效的方法来测量地应力大小,这是地下能源行业长期以来一直渴望的。该项目将促进岩石力学和构造地质学中地应力测定的基础研究,同时降低页岩开发勘探阶段的成本和提高精度。从更广泛的角度来看,不仅石油/天然气行业将从该计划中受益,采矿、地质二氧化碳储存、地下能源储存和地热能源行业也将从该计划中受益。所有这些行业都与盖层完整性有关,包括相关的环境和地震问题,而地应力知识是了解盖层完整性的关键。他说,拟议的研究计划还为HQP提供了独特的培训机会,以开发地下能源行业高度期望的基于人工智能的技术。
英文摘要
Knowledge of in-situ stress is critical to maximize the energy resource exploitation and to mitigate geologic and environmental disasters such as borehole collapse and gas leakage. Worldwide, subsurface energy resource industries are seeking effective and inexpensive means to quantify in-situ earth stress. Traditional approaches rely on information on borehole pressure, however, this method is prone to inaccuracies, because the complicated nature of the interaction between fluid transport and fracture dynamics causes uncertainty in the interpretation of the pressures that are used in in-situ stress inversion. Leak-off pressure data are scarce due to the nature of leak-off tests, and hydraulic fracturing tests incur high cost to obtain necessary borehole pressures.          I have spent 10 years investigating an approach to use information on borehole deformation to estimate in-situ stress via soft-computing based inverse analysis, which is inexpensive and accurate, and has had initial success. However, there are still three challenges to investigate as objectives over the next five years: (1) the mechanisms for borehole deformation need to be differentiated and accounted for accordingly; (2) the high dimensionality of the optimization problem in the inverse analysis requires advanced soft-computing techniques; and (3) the non-repeatability of field-scale deformation of a borehole subjected to in-situ stress requires advanced numerical models for simulation.                     The objectives for the proposed program are:          (1) To carry out laboratory true tri-axial tests focusing on study on the different mechanisms of borehole deformation.          (2) To enhance the performance of high dimensionality of the optimization in inverse analysis for in-situ stress determination.          (3) To develop advanced numerical models to simulate the borehole deformation based on mechanisms observed in laboratory.          The proposed research program will provide an accurate and effective way of measuring in-situ stress magnitude, which has long been desired in subsurface energy resource industries. This program will boost the fundamental research on in-situ stress determination in rock mechanics and structural geology, while reducing the cost and enhancing the accuracy in the exploration stage of shale developments. In a broader view, not only will the oil/gas industry benefit from this program, but the mining, geologic CO2 storage, subsurface energy storage, and geothermal energy industries will also benefit from this program. All of these industries are concerned with caprock integrity, including the associated environmental and seismic concerns, and knowledge of in-situ stress is key to understanding caprock integrity.         The proposed research program also provides unique training opportunities to for HQP to develop artificial intelligence based techniques that is highly desired by the subsurface energy industries.
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Determination of in-situ stress from borehole deformation
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    RGPIN-2019-04765
  • 项目类别:
    Discovery Grants Program - Individual
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    $1.89万
  • 财政年份:
    2021
  • 负责人:
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