干旱区生态环境知识资源中心(Arid): Integration of Geophysical and Geospatial Techniques to Evaluate Geothermal Energy at Siwa Oasis, Western Desert, Egypt

Arid

DOI	10.3390/rs15215094
	Integration of Geophysical and Geospatial Techniques to Evaluate Geothermal Energy at Siwa Oasis, Western Desert, Egypt
	Ghoneim, Eman; Healey, Colleen; Hemida, Mohamed; Shebl, Ali; Fahil, Amr
通讯作者	Ghoneim, E
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2023
卷号	15 期号:21
英文摘要	Environmental degradation is reducing crop productivity in many regions of Egypt. Moreover, unsustainable surface water drainage contributes to salinized soil conditions, which negatively impact crops. Egypt is seeking solutions to mitigate the problem of surface water drawdown and its consequences by exploring renewable and sustainable sources of energy. Geothermal energy and the desalination of saline water represent the only solutions to overcoming the fresh water shortage in agricultural industry and to providing sustainable fresh water and electricity to villages and the Bedouin livelihood. In Egypt, the Siwa Oasis contains a cluster of thermal springs, making the area an ideal location for geothermal exploration. Some of these thermal springs are characterized by high surface temperatures reaching 20 degrees C to 40 degrees C, and the bottom-hole temperatures (BHT) range from 21 degrees C to 121.7 degrees C. Pre-Cambrian basement rocks are usually more than 440 m deep, ranging from 440 m to 4724.4 m deep. It is this feature that makes the Siwa Oasis locality sufficient for geothermal power production and industrial processes. This study utilized both the Horner and the Gulf of Mexico correction methods to determine the formation temperatures from BHT data acquired from 27 deep oil wells. The present study revealed a geothermal gradient ranging from 18 to 42 degrees C/km, a heat flux of 24.7-111.3 mW/m2, and a thermal conductivity of 1.3-2.65 W/m/k. The derived geothermal, geophysical, and geological layers were combined together with space data and the topographic layer to map relevant physiographic variables including land surface elevation, depth to basement, lineament density, land surface temperature, and geologic rock units. The ten produced variables were integrated in GIS to model the geothermal potential map (GTP) for the Siwa Oasis region. According to the model, both the eastern side and north and northeastern portions of the study region contain high and very high geothermal potential energy. Combining bottom-hole temperature measurements with satellite remote sensing and geospatial analysis can considerably enhance geothermal prospecting in Egypt and other East African areas that have geologically and tectonically similar settings. In addition to identifying sustainable resources needed for food production, this research has implications for renewable energy resources as well.
英文关键词	remote sensing data GIS modeling North Africa geothermal potential geothermal gradient heat flow thermal conductivity
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:001099572900001
WOS关键词	BOTTOM-HOLE TEMPERATURE ; SINAI PENINSULA ; HAMMAM FARAUN ; HEAT-FLOW ; EXPLORATION ; GULF ; RESOURCES ; SUEZ ; STABILIZATION ; GRAVITY
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/398338
推荐引用方式 GB/T 7714	Ghoneim, Eman,Healey, Colleen,Hemida, Mohamed,et al. Integration of Geophysical and Geospatial Techniques to Evaluate Geothermal Energy at Siwa Oasis, Western Desert, Egypt[J],2023,15(21).
APA	Ghoneim, Eman,Healey, Colleen,Hemida, Mohamed,Shebl, Ali,&Fahil, Amr.(2023).Integration of Geophysical and Geospatial Techniques to Evaluate Geothermal Energy at Siwa Oasis, Western Desert, Egypt.REMOTE SENSING,15(21).
MLA	Ghoneim, Eman,et al."Integration of Geophysical and Geospatial Techniques to Evaluate Geothermal Energy at Siwa Oasis, Western Desert, Egypt".REMOTE SENSING 15.21(2023).