摘要：Today oil companies are trying to solve the urgent problem associated with the low efficiency of remediation work in oil-contaminated areas. Difficulties are caused by the lack of spatially ordered ideas about where and how pollution is distributed, what is its concentration and volumetric parameters in soils. The indicated problem entails an irrational waste of finance. As a rule, the return on funds spent does not exceed 30%. Obviously, the time has come to apply new approaches. We offer a technique for representing contaminants in the form of 3D models and tabular systematization of their concentrations and volumes. Scaling tabular information determines the color content of volumetric models. The described technique allows the differentiation of areas and their parts into reclamation groups. They focus on targeted use of allocated finances. Tabular systematization and spatially ordered representations of research results produce a synergistic effect. It manifests itself in obtaining a more accurate assessment of the condition of oil-contaminated sites, increasing the efficiency of restoration, the efficient use of finance.
其他摘要：Today oil companies are trying to solve the urgent problem associated with the low efficiency of remediation work in oil-contaminated areas. Difficulties are caused by the lack of spatially ordered ideas about where and how pollution is distributed, what is its concentration and volumetric parameters in soils. The indicated problem entails an irrational waste of finance. As a rule, the return on funds spent does not exceed 30%. Obviously, the time has come to apply new approaches. We offer a technique for representing contaminants in the form of 3D models and tabular systematization of their concentrations and volumes. Scaling tabular information determines the color content of volumetric models. The described technique allows the differentiation of areas and their parts into reclamation groups. They focus on targeted use of allocated finances. Tabular systematization and spatially ordered representations of research results produce a synergistic effect. It manifests itself in obtaining a more accurate assessment of the condition of oil-contaminated sites, increasing the efficiency of restoration, the efficient use of finance.
