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研究生: 團氏青翠
Doan Thi Thanh thuy
論文名稱: Estimations of aquifer properties by using cross-hole hydraulic and heat tomography surveys in a two- dimensional profile sandbox
指導教授: 倪春發
Chuen Fa-Ni
口試委員:
學位類別: 碩士
Master
系所名稱: 地球科學學院 - 應用地質研究所
Graduate Institute of Applied Geology
論文出版年: 2021
畢業學年度: 109
語文別: 英文
論文頁數: 104
中文關鍵詞: 熱力和水力掃描調查沙箱實驗,水力傳導率熱傳導率VSAFT2
外文關鍵詞: heat and hydraulic tomography surveys, sandbox experiment, hydraulic conductivity, thermal conductivity, VSAFT2
相關次數: 點閱:12下載:0
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  • 良好的地下水資源管理主要依靠對含水層水文地質特性的理解, 如含水層
    水力傳導率( K) 等參數。一般而言,此類參數須透過不同水力試驗來推估。 常
    見的含水層的水力傳導率值推估方法如抽水試驗及水力掃描方法, 這類方法有
    其限制,例如因為數據解決方案和覆蓋範圍中存在許多不匹配的情況, 所求參
    數會有非唯一性之問題。
    近年來,使用分佈式溫度感測( DTS)技術進行的示踪劑測試開闢了一種替
    代其他參數推估的方法。本研究的目的是利用溫度作為示蹤劑,結合水力掃描
    方法之概念,以推估含水層中水文地質參數分布狀況。 在這項研究中, 利用沙
    箱實驗比較溫度試驗和水力掃描測試所獲得的水力特性值,透過VSAFT2分析,
    以評估含水層的參數分布推估狀況。
    結果顯示,模擬水頭明顯高於注入口處的實測水頭值。 根據溫度試驗分佈,
    沙箱中的溫度受低溫水的影響很大。此外,溫度數據的反推估含水層非均質性
    有良好的辨識率,而水頭數據的反推估分辨率較低,推估結果中, 熱導率的相
    關性高於水力導率的相關性, 分別為 0.84 和 0.97。 總而言之, 本研究結果為將
    溫度示踪劑測試應用到實際案例中提供了良好的示範。


    Groundwater resources management has substantially relied on an understanding
    of hydrological properties. Important properties such as hydraulic conductivity (K) are
    estimated with hydraulic head collected from hydraulic tests. Conventional approaches
    to obtain the hydraulic conductivity value for aquifers rely on hydraulic tomography
    survey with several drawbacks such as non-unique since many mismatches exist in the
    data solution and coverage. In recent years, tracer test using Distributed Temperature
    Sensing (DTS) technology opens up the approach of replacing additional test data with
    the estimation of hydraulic properties. The purpose of this research is to test and
    compare the hydraulic properties values measured by temperature and head in sandbox
    experiment. In the study, VSAFT2 software is applied to the cross-hole hydraulic and
    heat experiments for the estimation of aquifer properties. The results showed that the
    simulated head was considerably higher than the measured head values at the injection
    ports. Based on the temperature distribution, the study also indicates that the temperature
    in the sandbox is significantly influenced by the low-temperature water. Furthermore,
    the results showed that the inversion of temperature data resulted in a smoothed
    reconstruction of aquifer heterogeneity while head data inversion leads to lower
    resolution estimation. More details, the correlation from thermal conductivity is higher
    than hydraulic conductivity are 0.84, and 0.97 respectively. To conclude, the result of
    thermal conductivity presents benefits and potential to deploy the tracer test using DTS
    into practical case.

    摘要 ..................................................................................................................................i ABSTRACT ....................................................................................................................ii ACKNOWLEDGEMENTS .......................................................................................... iii LIST OF CONTENT......................................................................................................iv LIST OF FIGURES........................................................................................................vi LIST OF TABLES ........................................................................................................vii LIST OF NOTATIONS..................................................................................................ix CHAPTER 1. INTRODUCTION....................................................................................1 1.1. Literature review............................................................................................1 1.2. Motivations and objectives............................................................................5 1.3. Thesis structure..............................................................................................6 CHAPTER 2. METHODOLOGY...................................................................................8 2.1. The sandbox...................................................................................................8 2.2. Laboratory-scale hydraulic tomography survey..........................................11 2.2.1. Falling head test.............................................................................11 2.2.2. Head measurements.......................................................................12 2.3. Laboratory-scale tracer tomography survey................................................13 2.3.1. The measurement thermal conductivity using TEMPOS system..13 2.3.2. Distribution Temperature Sensing (DTS) method ........................14 2.3.3. Temperature measurements...........................................................17 2.4. Data analysis................................................................................................17 2.5. Theoretical derivation of Sequential Successive Linear Estimator (SSLE) 20v 2.6. Validation of the experiment results............................................................28 CHAPTER 3. MODEL SETUP AND PARAMETERS ...............................................30 3.1. Conceptual model ........................................................................................30 3.2. The inversion model ....................................................................................31 3.2.1. The inversion of the hydraulic conductivity..................................31 3.2.2. The inversion of the thermal conductivity.....................................34 CHAPTER 4. RESULTS AND DISCUSSIONS ..........................................................36 4.1. The data analysis .........................................................................................36 4.2. Hydraulic conductivity estimation ..............................................................42 4.3. Thermal conductivity estimation.................................................................46 CHAPTER 5. CONCLUSION AND SUGGESTIONS ................................................51 5.1. Conclusions .................................................................................................51 5.2. Suggesstions ................................................................................................52 REFERENCES ..............................................................................................................54 APPENDIX A................................................................................................................61 APPENDIX B..................................................................................

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