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Methods for early-phase planning of offshore fields considering environmental performance

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  • Eyni, Leila
  • Stanko, Milan
  • Schümann, Heiner

Abstract

Extraction and processing of oil and gas with current technologies is energy- and carbon-intensive as well as are the manufacture, transport and installation of the facilities needed for oil and gas production. Nowadays, there is a strong emphasis on reducing emissions and energy usage to help mitigate climate change. In this work, we demonstrate a method for decision-support in early-phase field planning based on proxy modeling and optimization. An optimization model is developed to determine drilling and production schedules, as well as the processing capacities of oil and gas that maximize a key performance indicator. The key performance indicator is a linear combination of the normalized net present value and environmental variables, the carbon footprint and carbon dioxide emissions. The weight of each variable in the objective function is adjusted by varying the value of the constants. An offshore field on the Norwegian Continental Shelf is used as a case study.

Suggested Citation

  • Eyni, Leila & Stanko, Milan & Schümann, Heiner, 2022. "Methods for early-phase planning of offshore fields considering environmental performance," Energy, Elsevier, vol. 256(C).
    • Handle: RePEc:eee:energy:v:256:y:2022:i:c:s0360544222013986
    DOI: 10.1016/j.energy.2022.124495
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    References listed on IDEAS

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    Cited by:

    1. Noshchenko, Olga & Hagspiel, Verena, 2024. "Environmental and economic multi-objective real options analysis: Electrification choices for field development investment planning," Energy, Elsevier, vol. 295(C).
    2. Leila Eyni & Milan Stanko & Heiner Schümann & Ali Hassan Qureshi, 2022. "Dynamic Process Modeling of Topside Systems for Evaluating Power Consumption and Possibilities of Using Wind Power," Energies, MDPI, vol. 15(24), pages 1-16, December.

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