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A Survey on the Shortcomings of the Current Rate of Penetration Predictive Models in Petroleum Engineering

Author

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  • Mitra Khalilidermani

    (Department of Drilling and Geoengineering, Faculty of Drilling, Oil, and Gas, AGH University of Krakow, 30-059 Krakow, Poland)

  • Dariusz Knez

    (Department of Drilling and Geoengineering, Faculty of Drilling, Oil, and Gas, AGH University of Krakow, 30-059 Krakow, Poland)

Abstract

In drilling engineering, the rate of penetration ( ROP ) is a prevalent indicator to evaluate the energy efficiency of drilling operations. Nowadays, ROP prediction has become more critical since the production from deeper hydrocarbon resources is unprecedentedly escalating. So far, a wealth of theoretical and practical investigations has been conducted to develop ROP models; however, the existing models have not been adequately updated with the new technological advancements or geological restrictions. This research strives to integrate the latest advancements, restrictions, and future requirements in ROP prediction. To do this, the existing empirical and data-driven ROP models are elaborated and compared. From the conducted research, it was deduced that four uncontrollable factors, including the rock permeability, wellbore inclination, temperature, and rock hardness, have not been adequately considered in ROP models. Moreover, although data-driven ROP models deliver more accurate results than the empirical models, the determination of the number and type of the input parameters is still challenging. To tackle this issue, it is recommended to develop a formation-based classification system of input parameters for future investigations. This inclusive review can be adopted by the companies and engineers involved in drilling operations to update and reform their drilling strategies.

Suggested Citation

  • Mitra Khalilidermani & Dariusz Knez, 2023. "A Survey on the Shortcomings of the Current Rate of Penetration Predictive Models in Petroleum Engineering," Energies, MDPI, vol. 16(11), pages 1-23, May.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:11:p:4289-:d:1154394
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    References listed on IDEAS

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    1. Herimitsinjo Rajaoalison & Dariusz Knez & Mohammad Ahmad Mahmoudi Zamani, 2022. "A Multidisciplinary Approach to Evaluate the Environmental Impacts of Hydrocarbon Production in Khuzestan Province, Iran," Energies, MDPI, vol. 15(22), pages 1-19, November.
    2. Dariusz Knez & Mitra Khalilidermani, 2021. "A Review of Different Aspects of Off-Earth Drilling," Energies, MDPI, vol. 14(21), pages 1-18, November.
    3. Dariusz Knez & Mohammad Ahmad Mahmoudi Zamani, 2021. "A Review of the Geomechanics Aspects in Space Exploration," Energies, MDPI, vol. 14(22), pages 1-21, November.
    4. Mitra Khalilidermani & Dariusz Knez, 2022. "A Survey of Application of Mechanical Specific Energy in Petroleum and Space Drilling," Energies, MDPI, vol. 15(9), pages 1-25, April.
    5. Mitra Khalilidermani & Dariusz Knez & Mohammad Ahmad Mahmoudi Zamani, 2021. "Empirical Correlations between the Hydraulic Properties Obtained from the Geoelectrical Methods and Water Well Data of Arak Aquifer," Energies, MDPI, vol. 14(17), pages 1-19, August.
    6. Dariusz Knez & Rafał Wiśniowski & Winnie Ampomaa Owusu, 2019. "Turning Filling Material into Proppant for Coalbed Methane in Poland—Crush Test Results," Energies, MDPI, vol. 12(9), pages 1-6, May.
    7. Mostafaei, Kamran & maleki, Shaho & Zamani Ahmad Mahmoudi, Mohammad & Knez, Dariusz, 2022. "Risk management prediction of mining and industrial projects by support vector machine," Resources Policy, Elsevier, vol. 78(C).
    8. Mohammad Ahmad Mahmoudi Zamani & Dariusz Knez, 2021. "A New Mechanical-Hydrodynamic Safety Factor Index for Sand Production Prediction," Energies, MDPI, vol. 14(11), pages 1-14, May.
    9. Xian Shi & Gang Liu & Xiaoling Gong & Jialin Zhang & Jian Wang & Hongning Zhang, 2016. "An Efficient Approach for Real-Time Prediction of Rate of Penetration in Offshore Drilling," Mathematical Problems in Engineering, Hindawi, vol. 2016, pages 1-13, November.
    10. Dariusz Knez & Herimitsinjo Rajaoalison, 2022. "Land Subsidence Assessment for Wind Turbine Location in the South-Western Part of Madagascar," Energies, MDPI, vol. 15(13), pages 1-13, July.
    11. Dariusz Knez & Mitra Khalilidermani & Mohammad Ahmad Mahmoudi Zamani, 2023. "Water Influence on the Determination of the Rock Matrix Bulk Modulus in Reservoir Engineering and Rock-Fluid Coupling Projects," Energies, MDPI, vol. 16(4), pages 1-15, February.
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    Cited by:

    1. Omid Ahmad Mahmoudi Zamani & Dariusz Knez, 2024. "Well Integrity in Salt Cavern Hydrogen Storage," Energies, MDPI, vol. 17(14), pages 1-22, July.
    2. Mitra Khalilidermani & Dariusz Knez, 2024. "Shear Wave Velocity Applications in Geomechanics with Focus on Risk Assessment in Carbon Capture and Storage Projects," Energies, MDPI, vol. 17(7), pages 1-27, March.
    3. Jianxin Ding & Rui Zhang & Xin Wen & Xuesong Li & Xianzhi Song & Baodong Ma & Dayu Li & Liang Han, 2023. "Interpretable Feature Construction and Incremental Update Fine-Tuning Strategy for Prediction of Rate of Penetration," Energies, MDPI, vol. 16(15), pages 1-16, July.
    4. Dariusz Knez & Omid Ahmad Mahmoudi Zamani, 2023. "Up-to-Date Status of Geoscience in the Field of Natural Hydrogen with Consideration of Petroleum Issues," Energies, MDPI, vol. 16(18), pages 1-17, September.

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