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應(yīng)廣東省可再生能源重點(diǎn)實(shí)驗(yàn)室及中國(guó)科學(xué)院廣州能源研究所地?zé)崮芘c節(jié)能技術(shù)研究中心先進(jìn)能源系統(tǒng)科研團(tuán)隊(duì)的共同邀請(qǐng)，伊朗阿米爾卡比爾理工大學(xué)（德黑蘭理工學(xué)院）副教授、中國(guó)科學(xué)院PIFI國(guó)際訪問(wèn)學(xué)者Hamid?Naderan?Tahan博士將于7月31日（星期四）舉行學(xué)術(shù)報(bào)告會(huì)。報(bào)告會(huì)安排如下：
時(shí)??? 間：7月31日10:00-12:00
地??? 點(diǎn)：節(jié)能與環(huán)保大樓10層會(huì)議室
報(bào)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(bào)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(bào)告人簡(jiǎn)介：Hamid Naderan Tahan，伊朗阿米爾卡比爾理工大學(xué)（德黑蘭理工，Amirkabir University of Technology）機(jī)械工程系副教授，現(xiàn)任教務(wù)規(guī)劃主任，副校長(zhǎng)教育顧問(wèn)。博士畢業(yè)于伊朗沙里夫理工大學(xué)機(jī)械工程專業(yè)，曾獲伊朗國(guó)家優(yōu)秀人才直博錄取資格。長(zhǎng)期致力于熱流體系統(tǒng)建模與計(jì)算流體力學(xué)（CFD）的人工智能應(yīng)用，主要研究方向包括人工智能在熱流體系統(tǒng)建模和計(jì)算流體力學(xué)中的應(yīng)用、燃?xì)廨啓C(jī)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(guó)德州農(nóng)工大學(xué)（University of Texas A&M）等國(guó)際知名高校合作。近年來(lái)主持和參與多項(xiàng)工業(yè)及科研項(xiàng)目，在Energy,?Tribology International,?Transport in Porous Media,?Geothermics,?Physics of Fluids等國(guó)際著名期刊發(fā)表論文二十余篇。

參加人員：請(qǐng)先進(jìn)能源系統(tǒng)科研團(tuán)隊(duì)的老師和研究生參加，同時(shí)歡迎其他感興趣的人員參加。