Research on the Mathematical Model for Developing the Oil Processing Company Environmental Strategies

Abstract

As an attempt to define and characterize the elements required for the ERE systems optimal driving programs (objective of reaching future) in this paper are presented the results made the connection ENE-ECO in order to optimize the operating mode of the oil processing companies installations, depending on environmental and energy indicators. Strong companies in the field, studies (and even started applying) modern methods based on mathematical modeling and neural networks for the correlations between energy indicators and the environment on the one hand, and processing parameters on the other. In order to structure such an optimization methods, the paper presents a mathematical model and calculation program for determining energy and environmental indicators, depending on processing parameters, which become tools of own conception, applicable to any production installation. The study of these models, enable to identify the specific conditions, that must be satisfied for that economic processes to friendly coexist for long term with the environment, namely, to have an minimal impact, meaning that the resulting residues from the economic activity of the organization to be as less harmful as possible for the environment.