2014
DOI: 10.1007/s00024-014-0998-1
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Correlation of Aerogravity and BHT Data to Develop a Geothermal Gradient Map of the Northern Western Desert of Egypt using an Artificial Neural Network

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Cited by 29 publications
(7 citation statements)
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“…The temperature records obtained from the two wells adjacent to the research region exhibit typical temperature gradients that align with the range observed and computed in other studies conducted in the Western Desert 22 , 55 , 56 . Since these wells draw water from the shallow aquifer at a depth of approximately 300 m, they indicate that the groundwater is unaffected by the high temperature caused by the phenomenon under study and that this phenomenon occurs close to the Earth's surface.…”
Section: Integrated Results and Discussionsupporting
confidence: 86%
“…The temperature records obtained from the two wells adjacent to the research region exhibit typical temperature gradients that align with the range observed and computed in other studies conducted in the Western Desert 22 , 55 , 56 . Since these wells draw water from the shallow aquifer at a depth of approximately 300 m, they indicate that the groundwater is unaffected by the high temperature caused by the phenomenon under study and that this phenomenon occurs close to the Earth's surface.…”
Section: Integrated Results and Discussionsupporting
confidence: 86%
“…As a result of associating temperature records from 116 deep oil wells in the Northwestern Desert of Egypt with gravity data, ref. [20] developed a new geothermal gradient map of the Northwestern Desert of Egypt, including the Siwa Oasis, using artificial neural network techniques. Prediction maps showed geothermal gradients ranging from 20 to 40 • C/km and permanent temperature gradients of 30 • C/km in the northern Western Desert.…”
Section: Geothermal Regime In Egyptmentioning
confidence: 99%
“…For example, ref. [98] correlated both aerogravity and bottom-hole temperature data to delineate the subsurface/sediment temperature. In this study, sediment temperature formed an evident layer and was used to map possible geothermal regions in Nigeria and the data were extracted from areas mapped with aerogravity map datasets in the literature.…”
Section: Fundingmentioning
confidence: 99%