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應廣東省可再生能源重點實驗室及中國科學院廣州能源研究所地熱能與節(jié)能技術研究中心先進能源系統(tǒng)科研團隊的共同邀請，伊朗阿米爾卡比爾理工大學（德黑蘭理工學院）副教授、中國科學院PIFI國際訪問學者Hamid?Naderan?Tahan博士將于7月31日（星期四）舉行學術報告會。報告會安排如下：
時??? 間：7月31日10:00-12:00
地??? 點：節(jié)能與環(huán)保大樓10層會議室
報告題目：Simulation of Heat Recovery from Abandoned Oil Wells Using Super-Long Gravity Heat Pipes: Computational Tools and a Case Study in Iran

報告摘要：This talk presents research on heat recovery simulation from abandoned oil wells using super-long gravity heat pipes (SLGHPs).

Geothermal energy is a sustainable resource with the potential to meet global energy demands;?however,?the associated high drilling cost for new geothermal power plants impedes widespread adoption. Concurrently,?the petroleum industry faces the challenge of abandoned oil and gas wells,?which not only represent lost investments but also raise environmental concerns. Repurposing these wells for geothermal heat extraction could constitute a transformative breakthrough for the geothermal sector.

SLGHPs are emerging as a promising technology due to their ability to efficiently transfer heat from deep, high-temperature zones to the surface without mechanical pumps, relying solely on gravity to cycle working fluids. This research focuses on Southern Iran, particularly Khuzestan province, which features extensive, naturally fractured, high-permeability reservoirs, making it an ideal location for evaluating SLGHP technology for heat extraction from abandoned oil wells. This presentation details the development of a customized numerical tool for simulating heat extraction from such reservoirs. Results from a case study on an abandoned well in the Asmari formation demonstrate the technical feasibility and potential of this approach, contributing to the advancement of sustainable energy through the reutilization of existing infrastructure.

報告人簡介：Hamid Naderan Tahan，伊朗阿米爾卡比爾理工大學（德黑蘭理工，Amirkabir University of Technology）機械工程系副教授，現(xiàn)任教務規(guī)劃主任，副校長教育顧問。博士畢業(yè)于伊朗沙里夫理工大學機械工程專業(yè)，曾獲伊朗國家優(yōu)秀人才直博錄取資格。長期致力于熱流體系統(tǒng)建模與計算流體力學（CFD）的人工智能應用，主要研究方向包括人工智能在熱流體系統(tǒng)建模和計算流體力學中的應用、燃氣輪機的基于模型的故障診斷、熱流體系統(tǒng)的數(shù)值模擬等，并與美國德州農工大學（University of Texas A&M）等國際知名高校合作。近年來主持和參與多項工業(yè)及科研項目，在Energy,?Tribology International,?Transport in Porous Media,?Geothermics,?Physics of Fluids等國際著名期刊發(fā)表論文二十余篇。

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