Integration of Geophysical and Geospatial Techniques to Evaluate Geothermal Energy at Siwa Oasis, Western Desert, Egypt
Abstract
:1. Introduction
2. Geothermal Regime in Egypt
3. Geological Setting
4. Materials and Methods
4.1. Magnetic Data
4.2. Well Logging Data
4.3. Remote Sensing Data Set and Analysis
4.3.1. Digital Elevation Model (DEM)
4.3.2. Thermal Infrared Data
4.4. Geological Units Layer
4.5. GIS-Based Geothermal Potential Model
5. Results
Potential Locations for Geothermal Exploration
6. Discussion
7. Conclusions
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Well Name | Latitude | Longitude | Depth (m) | Original Measured T (°C) | Gulf of Mexico | Horner | ||
---|---|---|---|---|---|---|---|---|
(°F) | (°C) | (°F) | (°C) | |||||
Siwa P-1X | 30°10′11.471′′N | 25°55′50.992′′E | 4724.4 | 123.4 | 245.3 | 118.5 | 251.06 | 121.7 |
Ain Quruyshat | 29°11′19.42′′N | 25°32′34.62′′E | 710 | 34 | 88.34 | 31.3 | 89.6 | 32 |
Siwa Well 1 | 30°18′14.656′′N | 26°01′31.652′′E | 5029.2 | 86.2 | 182.12 | 83.4 | 186.08 | 85.6 |
Ain Camisa | 29°11′06.09′′N | 25°31′29.33′′E | 662 | 30 | 90.14 | 32.3 | 84.2 | 29 |
Ain Guba | 29°13′53.53′′N | 25°32′00.84′′E | 620 | 32 | 84.92 | 29.4 | 86 | 30 |
Siwa Well 2 | 29°10′9.8′′N | 25°33′17.4′′E | 960 | 43 | 104.18 | 40.1 | 107.6 | 42 |
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Ghoneim, E.; Healey, C.; Hemida, M.; Shebl, A.; Fahil, A. Integration of Geophysical and Geospatial Techniques to Evaluate Geothermal Energy at Siwa Oasis, Western Desert, Egypt. Remote Sens. 2023, 15, 5094. https://doi.org/10.3390/rs15215094
Ghoneim E, Healey C, Hemida M, Shebl A, Fahil A. Integration of Geophysical and Geospatial Techniques to Evaluate Geothermal Energy at Siwa Oasis, Western Desert, Egypt. Remote Sensing. 2023; 15(21):5094. https://doi.org/10.3390/rs15215094
Chicago/Turabian StyleGhoneim, Eman, Colleen Healey, Mohamed Hemida, Ali Shebl, and Amr Fahil. 2023. "Integration of Geophysical and Geospatial Techniques to Evaluate Geothermal Energy at Siwa Oasis, Western Desert, Egypt" Remote Sensing 15, no. 21: 5094. https://doi.org/10.3390/rs15215094