Abstract
A technique is proposed to improve reliability of data from the remote RGB measurements in order to shorten the time needed for determining local leakages in the main pipelines during monitoring. To improve spatial resolution and geometrical accuracy in the RGB measurements, it is proposed to use the IR and panchromatic measurements in combination, using controlled liquid crystal filters. In this case, visualizing the IR data (employing conditional colors) and comparing them with the data of actual colors in the RGB measurements is used to improve accuracy of data from the remote measurements. We also developed a technique for the remote and locally synchronous ground-based measurements to validate and correct their results with a certain error, which allows rapid assessment of the condition of examined area based on data from the remote measurements taking into account a validation by possible ground-based measurements. In this case, the designed structure of an automated system simultaneously monitors main production processes and assesses ecological condition of the corresponding sites, thus addressing the set task in a comprehensive manner. The results obtained improve efficiency of determining local leakages and the boundaries of plots, polluted in varying degree as a consequence of manufacturing processes, and facilitate making a correct decision while monitoring the environment
Highlights
One of the important aspects of remote sensing is monitoring the state of the environment, which is strongly affected by both the oil and gas industry at every stage of the production process
By the Wien’s law, based on data obtained in the IR channels, high-intensity matches the color of the short wavelength of the visible range of the spectrum
A technique is devised for the remote and locally synchronous ground-based measurements to validate and correct their results with a certain error. This technique makes it possible, in the case of impossibility or inadvisability of carrying out the ground-based measurements, to perform a rapid assessment of the condition of examined area based on the data from remote measurements with regard to validation
Summary
One of the important aspects of remote sensing is monitoring the state of the environment, which is strongly affected by both the oil and gas industry at every stage of the production process. Modeling the remote and contact control over processes, as well control of leakage in order to prevent it, makes it possible to reduce the effect of oil spills to the environment In this case, the technique, algorithm and software designed for monitoring and diagnosis of the main pipelines enable prediction of change in the state of the environment, local leakage diagnosis and timely forecasting of operating modes. The technique, algorithm and software designed for monitoring and diagnosis of the main pipelines enable prediction of change in the state of the environment, local leakage diagnosis and timely forecasting of operating modes For this purpose, the airborne LCMS of the complex employs a remote system working in the RGB and IR bands (Fig. 2).
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