Optimal Behavior of Spectral Line Analysis Through Fine Identification of Heavy Metal Lines in Crude Oil Using LIPS-Technique

Abstract

Abstract Assessment of the quality of minerals, especially heavy ones, in crude oil by identifying spectral lines is very important to determine the quality and specifications of crude oil and the following treatments in production of the lines. In this study heavy metals lines (HMs) found in crude oil extracted from Iraq south field were identified that are unique spectral lines by using the laser-induced plasma spectroscopy (LIPS – mechanism), which were analyzed later by spectrometer based on the principle of finger print. The optimum spectrum (analytical lines) of metals emitted from the crude oil plasma in air were selected and determined. By determining the optimization behavior for evaluation procedure, the important condition was laser spot number (scan area). Comparison was performed between the fundamental wavelength and harmonic generation (HG) used in the laser beam to determine the optimum spectrum and optical insulator to cover the selected sample at atmospheric air pressure and room temperature. The results obtained from the actual raw spectrum were determined to represent the emission lines without the influence of foreign light (no noise) using the optical isolator, and unique new analytical lines were identified when increasing the number of lasers points up to 5 points, and a balanced spectrum was determined with good absorption when using a basic wavelength of 1064 nm. Difficulties were presented due to the characteristics of the crude oil as organic liquid case. The optimum results obtained indicated that the LIPS technique is effective and a control technique to well identify the spectrum lines of the heavy metals (HMs) presented in the crude oil.