Qualitative Analysis and Quantitative Calculation of Crude Oil Drilling Fluid Mixtures Based on Raman Spectroscopy

As a well-developed molecular spectroscopic analysis technique, laser Raman spectroscopy has been widely used in the analysis of a variety of substances. The main component of petroleum are hydrocarbons, and Raman spectroscopy technology has obvious spectral characteristics, easy to distinguish, and timely feedback to the material information, reduce the consumption of time and cost of waste and other characteristics. Therefore, Raman technique is applied to the petroleum exploration field to detect and analyze the oil content of mixtures with unknown concentrations. But how to determine the mixture concentration quickly and accurately is the primary task at present. To solve this problem, a elimination rule based on Pearson correlation coefficient is proposed, and a concentration prediction model is established by combining wavelet transform and partial least square method. Finally, the simulation experiment shows that the algorithm in this paper has high accuracy, fast running speed, and can realize the qualitative analysis and quantitative calculation of the mixture with unknown concentration quickly and accurately.