This study addresses the need for optimization of remediation procedures using a complex, integrated approach that enables the simultaneous treatment of multiple soil types. The availability of data describing the time-dependent penetration depth of spilled crude oil into various soil types allows for the formulation and solution of a multi-cycle, integrated remediation problem using the linear programming method. The optimization process takes into account the cyclic nature of remediation activities, with operations conducted at regular time intervals, as well as the initial spill date across all affected zones containing different types of soil. It is also noted that linear programming problems involving more than two variables lack geometric clarity. To provide a visual and geometric interpretation, a simplified version of the problem is analyzed with only two variables. This model enabled the determination of optimal values for the parameters involved. Soil contamination by oil is a critical environmental issue in Azerbaijan, particularly on the Absheron Peninsula, which accounts for approximately 60% of the country’s total onshore oil production capacity.

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Optimization of Remediation of Crude Oil-Contaminated Territories Through Removal of the Topsoil Layer

  • Ayshan Azizova,
  • Elchin Iskenderzade,
  • Khumar Aliyeva,
  • Ilaha Mammadova

摘要

This study addresses the need for optimization of remediation procedures using a complex, integrated approach that enables the simultaneous treatment of multiple soil types. The availability of data describing the time-dependent penetration depth of spilled crude oil into various soil types allows for the formulation and solution of a multi-cycle, integrated remediation problem using the linear programming method. The optimization process takes into account the cyclic nature of remediation activities, with operations conducted at regular time intervals, as well as the initial spill date across all affected zones containing different types of soil. It is also noted that linear programming problems involving more than two variables lack geometric clarity. To provide a visual and geometric interpretation, a simplified version of the problem is analyzed with only two variables. This model enabled the determination of optimal values for the parameters involved. Soil contamination by oil is a critical environmental issue in Azerbaijan, particularly on the Absheron Peninsula, which accounts for approximately 60% of the country’s total onshore oil production capacity.