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Mohamed Shafik Khaled

University of Texas at Austin

Texas

United States

  • University of Texas at Austin

SCHOLARLY PAPERS

2

DOWNLOADS

215

TOTAL CITATIONS

7

Scholarly Papers (2)

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1.

Real-Time Prediction of Bottom-Hole Circulating Temperature in Utah Forge Wells Using Machine Learning Models

Number of pages: 27 Posted: 24 Jul 2023
Mohamed Shafik Khaled, Ningyu Wang, Pradeepkumar Ashok, Eric van Oort and Ken Wisian
University of Texas at Austin, University of Texas at Austin, University of Texas at Austin, University of Texas at Austin and affiliation not provided to SSRN
Downloads 110
Citation 4

Abstract:

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long short-term memory networks (LSTM), geothermal drilling, machine learning models, bottom hole circulating temperature, heat management

2.

Downhole Heat Management for Shallow and Ultra-Deep High Enthalpy Geothermal Wells

Number of pages: 24 Posted: 15 Jun 2022
Mohamed Shafik Khaled, Ningyu Wang, Pradeepkumar Ashok and Eric van Oort
University of Texas at Austin, University of Texas at Austin, University of Texas at Austin and University of Texas at Austin
Downloads 105
Citation 3

Abstract:

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Heat management, high enthalpy geothermal systems, ultra-deep wells, high-temperature wells, insulated drill pipe