地熱能源為21世紀重要的綠色能源之一。台灣自1896年便有利用地熱作為溫泉之歷史紀錄，並在1980年代設置世界第14座地熱發電廠，清水地熱，但礙於當時儲集層管理技術不足，管線結垢導致產能嚴重下降，台灣地熱發展從此停擺。近年來，過度燃燒化石燃料而導致全球暖化，綠色能源被賦予取代化石燃料能源的厚望，台灣也開始重啟地熱能源的發展。
然而，清水地熱過去失敗的經驗應成為今日成功的借鑑，透過有效的儲集層管理，才能使地熱能源達到永續經營的目的。地熱儲集層主要由三個元素組成：流體、通道與熱源，由於這其中的計算過程極為龐雜，在進行地熱儲集層管理時常使用數值模擬法進行處理。
本研究旨在透過數值模擬法估算地熱儲集層之發電潛能。本研究利用位於台灣東北部之裂隙地熱儲集層建立模型，進行研究。於此地熱區域目前資料過少，本研究使用所蒐集到之公開資料建立初步地質模型，透過鑽井資料設計溫度場、斷層裂隙帶等，並藉由前人文獻補足其餘參數設定。接著從地質模型中擷取出儲集層模型，利用儲集層模型針對單井生產進行進行地質與工程參數之敏感度分析，觀察參數對於熱產率與井底流壓之影響，並進行雙井產注試驗觀察其影響性，最後進行不確定性分析，評估單一井之發電能力。
結果顯示，調整地表產率會對於熱產率造成最大影響，而調增孔隙率與加入回注井則會使地層壓力得到更好的維持。不確定性分析之結果顯示，此井發電效能最有可能落在500至600 kWe區間。

Geothermal energy is one of the most important green energy in the 21st century. Taiwan's geothermal usage history can trace back to 1896 when the first hot spring is exploited in Beitou. At 1980, Ching Shui geothermal power plant was opened and became the 14th geothermal power plant in the world. However, due to the lack of geothermal reservoir management knowledge, the pipeline was clogged hence decrease the production rate drastically. Taiwan's geothermal development has been silence ever since. Nowadays, the increasing frequency of extreme weather events and rising sea level caused by overuse of fossil fuel and hence lead to heavily global warming is threatening humanity’s survival. Green energy has become the beacon to replace fossil fuel energy. Therefore, Taiwan restarted its geothermal energy development.
The past failure of Ching Shui teaches us the importance of geothermal reservoir management. A sustainable geothermal power plant requires proper and effective geothermal reservoir management. A geothermal reservoir consists of three key elements, fluid, channel, and heat source. Because the coupling calculation of thermo-hydraulic (TH) is highly intricate, numerical simulation is often involved.
This study focus on establish a numerical method for evaluating geothermal power potential collaborated with a geothermal area located at the north-eastern Taiwan. Due to the lack of data, open-source well reports were utilized to set up the temperature distribution and fractured fault zone and etc of the geological model. The rest of the parameters were set up by concluding other studies of geothermal reservoir modeling. A reservoir model is then extracted from the geological model for further computations. This reservoir model is utilized for sensitivity analysis of both single well production and double wells production/reinjection cases to see the effect of geological and engineering parameters on enthalpy production rate and well bottom-hole pressure. A series of uncertainty is carried out to evaluate the possible outcome of energy production.
The results show that adjusting surface flow rate is most influential to the enthalpy production rate. Increase porosity or adding a reinjection well can be very effective in maintaining reservoir pressure. The result of uncertainty analysis shows that the well running capacity is most likely to be around 500 to 600 kWe.

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