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Waste Management during the Production Drilling Stage in the Oil and Gas Sector: A Feasibility Study

Author

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  • Andrey Lebedev

    (Department of Organization and Management, Saint Petersburg Mining University, 21 Line, 2, 199106 St. Petersburg, Russia)

  • Alexey Cherepovitsyn

    (Department of Organization and Management, Saint Petersburg Mining University, 21 Line, 2, 199106 St. Petersburg, Russia)

Abstract

Drilling-waste management is of great importance in the oil and gas industry due to the substantial volume of multi-component waste generated during the production process. Improper waste handling can pose serious environmental risks, including soil and water contamination and the release of harmful chemicals. Failure to properly manage waste can result in large fines and legal consequences, as well as damage to corporate reputation. Proper drilling-waste management is essential to mitigate these risks and ensure the sustainable and responsible operation of oil and gas projects. It involves the use of advanced technologies and best practices to treat and utilize drilling waste in an environmentally safe and cost-effective manner. This article describes a feasibility study of four drilling-waste management options in the context of the Khanty-Mansi Autonomous Okrug of Russia. For ten years of the project life, the NPV under the base scenario is equal to RUB −3374.3 million, under the first scenario is equal to RUB −1466.7 million, under the second scenario is equal to RUB −1666.8 million and under the third scenario is equal to RUB −792.4 million. When considering projects, regardless of oil production, the project under the third scenario pays off in 7.8 years and the NPV is RUB 7.04 million. The MCD and MCV parameters were calculated to be 106 km and 2290 tons, respectively. Furthermore, the study estimates the ecological damage prevented and the environmental effect of each option. Quantitative risk assessments, conducted through sensitivity analysis, reveal that the fourth option, involving the conversion of drilling waste into construction materials, emerges as the most economically feasible. The study also evaluates the interaction between business and government and analyzes the current situation in the sphere of drilling-waste management, concluding with concise recommendations for both companies and official bodies.

Suggested Citation

  • Andrey Lebedev & Alexey Cherepovitsyn, 2024. "Waste Management during the Production Drilling Stage in the Oil and Gas Sector: A Feasibility Study," Resources, MDPI, vol. 13(2), pages 1-30, February.
  • Handle: RePEc:gam:jresou:v:13:y:2024:i:2:p:26-:d:1333964
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    References listed on IDEAS

    as
    1. Pavel Tsiglianu & Natalia Romasheva & Artem Nenko, 2023. "Conceptual Management Framework for Oil and Gas Engineering Project Implementation," Resources, MDPI, vol. 12(6), pages 1-27, May.
    2. Elena V. Ryabova & Natalia V. Feruleva & Olga A. Zamotaeva, 2022. "Assessing the Investment Attractiveness of Oil Field Development Projects under the Tax Maneuver: The Evidence from West Siberia," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 3, pages 86-101, June.
    3. Diana Dmitrieva & Victoria Solovyova, 2023. "Russian Arctic Mineral Resources Sustainable Development in the Context of Energy Transition, ESG Agenda and Geopolitical Tensions," Energies, MDPI, vol. 16(13), pages 1-28, July.
    4. Gulnur Zakirova & Vladimir Pshenin & Radmir Tashbulatov & Lyubov Rozanova, 2022. "Modern Bitumen Oil Mixture Models in Ashalchinsky Field with Low-Viscosity Solvent at Various Temperatures and Solvent Concentrations," Energies, MDPI, vol. 16(1), pages 1-18, December.
    5. Marina A. Nevskaya & Semen M. Raikhlin & Victoriya V. Vinogradova & Victor V. Belyaev & Mark M. Khaikin, 2023. "A Study of Factors Affecting National Energy Efficiency," Energies, MDPI, vol. 16(13), pages 1-14, July.
    6. John H. Cochrane, 2011. "Presidential Address: Discount Rates," Journal of Finance, American Finance Association, vol. 66(4), pages 1047-1108, August.
    7. Ekaterina Golovina & Vera Khloponina & Pavel Tsiglianu & Runchu Zhu, 2023. "Organizational, Economic and Regulatory Aspects of Groundwater Resources Extraction by Individuals (Case of the Russian Federation)," Resources, MDPI, vol. 12(8), pages 1-16, July.
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