Control of composition and determination of dosage of hydrate formation inhibitors by their infrared spectra

The possibility of increasing the accuracy and efficiency of using infrared spectra of thermodynamic inhibitors to control their composition and calculate the dosage required for preventing hydrate formation in the oil and gas industry has been studied. The proposed method consists of determining the amount of inhibitor for the studied “gas-water” system and the magnitude of the decrease in the temperature of the onset of hydrate formation. The relevance of the work and its novelty in comparison with the traditional experimental approach consists in the emergence of the possibility of qualitative and quantitative identification of up to nine components in the composition of the thermodynamic inhibitor, reducing the time costs for calculation processes. To solve the problem of determining the concentration of substances, the method of infrared spectrometry with Fourier transformation is used. The infrared spectra of the solutions were measured in the mode of attenuated total internal reflection. To improve the accuracy of measuring the concentration of substances by the infrared spectrum in conditions of multicomponentity and similarity of components by chemical structure, the use of a regression neural network is proposed. The training sample included infrared spectra of pure substances, two-component and three-component mixed aqueous solutions (water + alcohol + glycol), as well as a number of four-component solutions (glycols + water). The obtained data on the composition of the inhibitor were then used to calculate its dosage to prevent hydrate formation under specified conditions. The capability of the trained neural network to determine the concentrations of up to nine substances similar in their properties in the composition of thermodynamic hydrate formation inhibitors has been demonstrated: methanol, ethanol, propanol, monoethylene glycol, diethylene glycol, triethylene glycol, propylene glycol, glycerol. It has been shown that the use of the neural network ensures the accuracy of concentr ation determination up to 2 % vol. Testing of the proposed method for processing the results of composition control and determining the dosage of the thermodynamic inhibitor for suppressing the hydrate formation process has shown good agreement with the results of the traditionally used method. The proposed approach allows increasing the efficiency of inhibitor dosage selection. The results of the work can be used in oilfield chemistry for incoming control and forecasting the efficiency of using thermodynamic type hydrate inhibitors during the extraction, preparation or transportation of hydrocarbon raw materials.

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