Construction of Deep Thermal Models Based on Integrated Thermal Properties Used for Geothermal Risk Management
文献类型:期刊论文
作者 | Liu, Hejuan; Nasr, Mather |
刊名 | MATHEMATICAL GEOSCIENCES
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出版日期 | 2019 |
卷号 | 51期号:3页码:295-317 |
关键词 | Thermal conductivity Radiogenic heat production Well logs Equilibrium temperature Heat flux |
ISSN号 | 1874-8961 |
DOI | 10.1007/s11004-019-09790-z |
英文摘要 | The development of deep geothermal energy may be at risk from the economic point of view if the estimated deep thermal field is far from its real state. The strong heterogeneity of geological units makes it challenging to perform a reliable estimation on the construction of the deep thermal field over a large region. Additionally, the thermal properties of rocks, such as thermal conductivity and the radiogenic element concentration, whether they are from laboratory measurements or inversed from well logs, may strongly control the deep thermal field at a local scale. In this paper, the thermal conductivities of rocks from the Trois-Rivieres region in the Saint Lawrence Lowlands sedimentary basin in eastern Canada are obtained from two methods: (i) direct experimental measurement and (ii) indirect inversion method using well logs, including gamma ray, neutron porosity, density, and photoelectric absorption factor. The spatial distribution of subsurface temperature in the study area in the Trois-Rivieres region is numerically investigated by considering four case studies that include different values (minimum, average, and maximum) of the thermal properties by applying the Underworld simulator. The results show that thermal properties play a large role in controlling the subsurface temperature distribution and heat flux. The temperature difference can reach 15 degrees C in the basement, caused by the difference in thermal properties in the Trois-Rivieres region. The highest heat flux is found in the Trenton-Black River-Chazy groups, and the lowest heat flux is in the Potsdam group, which also has the highest thermal conductivity. Vertical heat flux does not change linearly with depth but is highly related to the thermal properties of specific geological formations. Furthermore, it does not have a positive correlation with the vertical temperature changes. This demonstrates that the assessment of the potential of deep geothermal energy depending merely on the surface heat flux may greatly overestimate or underestimate the geothermal capacity. Construction of the thermal models based on the integrated thermal properties from both the experimental measurement and well logs in this paper is useful in reducing the exploration risk associated with the utilization of deep geothermal energy. |
WOS研究方向 | Geology ; Mathematics |
语种 | 英语 |
WOS记录号 | WOS:000463233700003 |
源URL | [http://119.78.100.198/handle/2S6PX9GI/15009] ![]() |
专题 | 岩土力学所知识全产出_期刊论文 国家重点实验室知识产出_期刊论文 |
作者单位 | 1.Chinese Acad Sci, State Key Lab Geomech & Geotech Engn, Inst Rock & Soil Mech, Wuhan 430071, Hubei, Peoples R China; 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China; 3.Inst Natl Rech Sci, Ctr Eau Terre Environm, Quebec City, PQ G1K 9A9, Canada |
推荐引用方式 GB/T 7714 | Liu, Hejuan,Nasr, Mather. Construction of Deep Thermal Models Based on Integrated Thermal Properties Used for Geothermal Risk Management[J]. MATHEMATICAL GEOSCIENCES,2019,51(3):295-317. |
APA | Liu, Hejuan,&Nasr, Mather.(2019).Construction of Deep Thermal Models Based on Integrated Thermal Properties Used for Geothermal Risk Management.MATHEMATICAL GEOSCIENCES,51(3),295-317. |
MLA | Liu, Hejuan,et al."Construction of Deep Thermal Models Based on Integrated Thermal Properties Used for Geothermal Risk Management".MATHEMATICAL GEOSCIENCES 51.3(2019):295-317. |
入库方式: OAI收割
来源:武汉岩土力学研究所
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