檢索結果 - Rukavishnikov V. S. Valery Sergeevich

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  1. 1
    Multi-objective AHM workflow intergrating the 4D seismic data

    Multi-objective AHM workflow intergrating the 4D seismic data 由 Pokatilov V.

    出版 2023
    其他作者: “...Rukavishnikov V. S. Valery Sergeevich...”
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    電子 Book Chapter
  2. 2
    Stress-Dependent Permeability Model Of Naturally-Fractured Reservoir On The Example Of The Field K

    Stress-Dependent Permeability Model Of Naturally-Fractured Reservoir On The Example Of The Field K 由 Meshcheryakova A. S.

    出版 2015
    其他作者:
    Book Chapter
  3. 3
    Oil and Gas Exploration Planning using VOI Technique

    Oil and Gas Exploration Planning using VOI Technique 由 Peskova D. N.

    出版 2016
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    電子 Book Chapter
  4. 4
    Machine-learning predictions CO2 solubility and residual trapping indexes

    Machine-learning predictions CO2 solubility and residual trapping indexes 由 Davoodi Sh. Shadfar

    出版 2023
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    電子 Book Chapter
  5. 5
    Fluvial System Key Parameters Effect on Recovery Factor for Horizontal Well Pattern

    Fluvial System Key Parameters Effect on Recovery Factor for Horizontal Well Pattern 由 Nitkaliev I. M. Ilnur Maratovich

    出版 2015
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    Book Chapter
  6. 6
    Oil production rate prediction after treatment operations using machine-learning techniques

    Oil production rate prediction after treatment operations using machine-learning techniques 由 Melnikov M. O. Maksim Olegovich

    出版 2022
    其他作者: “...Rukavishnikov V. S. Valery Sergeevich...”
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    電子 Book Chapter
  7. 7
    Evaluation the Value-of-Information (VOI) and Look Back Analysis During Modelling of the Exploration Works

    Evaluation the Value-of-Information (VOI) and Look Back Analysis During Modelling of the Exploration Works 由 Peskova D. N. Darjya Nikolaevna

    出版 2016
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    電子 Book Chapter
  8. 8
    Fractal Analysis of Hydrocarbon Accumulations for Field S Confined to Vyngapursky Bank

    Fractal Analysis of Hydrocarbon Accumulations for Field S Confined to Vyngapursky Bank 由 Lezhnina M. I. Marina Igorevna

    出版 2016
    其他作者: “...Rukavishnikov V. S. Valery Sergeevich...”
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    電子 Book Chapter
  9. 9
    Insights into application of acorn shell powder in drilling fluid as environmentally friendly additive: filtration and rheology

    Insights into application of acorn shell powder in drilling fluid as environmentally friendly additive: filtration and rheology

    出版 2020
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    電子 Book Chapter
  10. 10
    Fourier Spectrums Clustering for Automated Facies Recognition of Field Y

    Fourier Spectrums Clustering for Automated Facies Recognition of Field Y

    出版 2016
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    電子 Book Chapter
  11. 11
    A comprehensive review of beneficial applications of viscoelastic surfactants in wellbore hydraulic fracturing fluids

    A comprehensive review of beneficial applications of viscoelastic surfactants in wellbore hydraulic fracturing fluids

    出版 2023
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    電子 Book Chapter
  12. 12
    Thermally stable and salt-resistant synthetic polymers as drilling fluid additives for deployment in harsh sub-surface conditions: A review

    Thermally stable and salt-resistant synthetic polymers as drilling fluid additives for deployment in harsh sub-surface conditions: A review

    出版 2023
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    電子 Book Chapter
  13. 13
    Recent advances in polymers as additives for wellbore cementing applications: A review

    Recent advances in polymers as additives for wellbore cementing applications: A review

    出版 2024
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    電子 Book Chapter
  14. 14
    A robust hybrid real-time model for hole cleaning conditions based on concentration of cuttings in the annulus

    A robust hybrid real-time model for hole cleaning conditions based on concentration of cuttings in the annulus

    出版 2024
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    電子 Book Chapter
  15. 15
    Carbon Dioxide Applications for Enhanced Oil Recovery Assisted by Nanoparticles: Recent Developments

    Carbon Dioxide Applications for Enhanced Oil Recovery Assisted by Nanoparticles: Recent Developments

    出版 2022
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    電子 Book Chapter
  16. 16
    Experimental and field applications of nanotechnology for enhanced oil recovery purposes: A review

    Experimental and field applications of nanotechnology for enhanced oil recovery purposes: A review

    出版 2022
    其他作者: 獲取全文
    電子 Book Chapter
  17. 17
    Machine-learning predictions of solubility and residual trapping indexes of carbon dioxide from global geological storage sites

    Machine-learning predictions of solubility and residual trapping indexes of carbon dioxide from global geological storage sites

    出版 2023
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    電子 Book Chapter
  18. 18
    Machine-Learning Predictive Model for Semiautomated Monitoring of Solid Content in Water-Based Drilling Fluids

    Machine-Learning Predictive Model for Semiautomated Monitoring of Solid Content in Water-Based Drilling Fluids

    出版 2025
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    電子 Book Chapter
  19. 19
    Machine-learning models to predict hydrogen uptake of porous carbon materials from influential variables

    Machine-learning models to predict hydrogen uptake of porous carbon materials from influential variables

    出版 2023
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    電子 Book Chapter
  20. 20
    Robust Machine Learning Predictive Models for Real-Time Determination of Confined Compressive Strength of Rock Using Mudlogging Data

    Robust Machine Learning Predictive Models for Real-Time Determination of Confined Compressive Strength of Rock Using Mudlogging Data

    出版 2024
    其他作者: 獲取全文
    電子 Book Chapter

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