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Static Formation Temperature Prediction Based on Bottom Hole Temperature

Author

Listed:
  • Changwei Liu

    (School of Energy Resources, China University of Geosciences, Beijing 100083, China)

  • Kewen Li

    (School of Energy Resources, China University of Geosciences, Beijing 100083, China)

  • Youguang Chen

    (Department of Petroleum and Geosystems Engineering, University of Texas at Austin, Austin, TX 78712, USA)

  • Lin Jia

    (School of Energy Resources, China University of Geosciences, Beijing 100083, China)

  • Dong Ma

    (Petroleum Engineering College, Yangtze University, Wuhan 430100, China)

Abstract

Static formation temperature (SFT) is required to determine the thermophysical properties and production parameters in geothermal and oil reservoirs. However, it is not easy to determine SFT by both experimental and physical methods. In this paper, a mathematical approach to predicting SFT, based on a new model describing the relationship between bottom hole temperature (BHT) and shut-in time, has been proposed. The unknown coefficients of the model were derived from the least squares fit by the particle swarm optimization (PSO) algorithm. Additionally, the ability to predict SFT using a few BHT data points (such as the first three, four, or five points of a data set) was evaluated. The accuracy of the proposed method to predict SFT was confirmed by a deviation percentage less than ±4% and a high regression coefficient R 2 (>0.98). The proposed method could be used as a practical tool to predict SFT in both geothermal and oil wells.

Suggested Citation

  • Changwei Liu & Kewen Li & Youguang Chen & Lin Jia & Dong Ma, 2016. "Static Formation Temperature Prediction Based on Bottom Hole Temperature," Energies, MDPI, vol. 9(8), pages 1-14, August.
    • Handle: RePEc:gam:jeners:v:9:y:2016:i:8:p:646-:d:76095
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    Citations

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    Cited by:

    1. Espinoza-Ojeda, O.M. & Prol-Ledesma, R.M. & Iglesias, E.R. & Figueroa-Soto, A., 2017. "Update and review of heat flow measurements in México," Energy, Elsevier, vol. 121(C), pages 466-479.
    2. Felix Schölderle & Gregor Götzl & Florian Einsiedl & Kai Zosseder, 2022. "Uncertainty Assessment of Corrected Bottom-Hole Temperatures Based on Monte Carlo Techniques," Energies, MDPI, vol. 15(17), pages 1-27, August.
    3. Yuridiana Rocio Galindo-Luna & Efraín Gómez-Arias & Rosenberg J. Romero & Eduardo Venegas-Reyes & Moisés Montiel-González & Helene Emmi Karin Unland-Weiss & Pedro Pacheco-Hernández & Antonio González-, 2018. "Hybrid Solar-Geothermal Energy Absorption Air-Conditioning System Operating with NaOH-H 2 O—Las Tres Vírgenes (Baja California Sur), “La Reforma” Case," Energies, MDPI, vol. 11(5), pages 1-23, May.

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