Examining and Optimizing the Parameters of a Ternary Blend of H2SO4-HCl-HNO3 Acids for the Efficient Corrosion Control of API 5LX70 Carbon Steel in Oil–Gas Industries
摘要
Acidization (acidizing) in oil and gas production has several disadvantages related to operational challenges, potential formation damage, equipment integrity, and health, safety, and environment (HSE) concerns., This study examined the potential of Hibiscus sabdariffa leaf extract (HSLE) as a corrosion inhibitor of carbon steel API 5LX70 in gas industries using 1–3% H2SO4-HCl-HNO3 blends. Soxhlet extractor was used to extract the leaf and the phytochemical and physicochemical characteristics were conducted. The cleaned corroded carbon steel API 5LX70 was characterized using X-Ray Fluorescence. Weight loss method was used to carry out the adsorption study’s. Langmuir was used to assess the fitness of the absorption isothermal study. Three statistical tools were used for process modeling and optimization. Results showed the HSLE had low moisture content (0.001%) and a pH of 3.46, indicating a slight acidity. The most active molecule in the HSLE was flavonoids, which were found to be abundant in secondary metabolites. The XRF analysis of API 5LX70 showed that the steel had a highly corroded iron content of 89.677%(wt.). The weight loss and corrosion rate of carbon steel API 5LX70 increase with temperature and immersion time, but decrease with increasing extract concentration. Isotherm testing revealed that when inhibitor molecules are adsorbed onto the surface of carbon steel, the Langmuir isotherm is observed. Process optimization revealed that, in terms of minimum CR and I-optimum, the ML-python base outperformed the RSM-CCRD and ANN-GA in validated optimum IE of 91.20%, and minimum CR of 9.34 (mm/yr). Elemental analysis of the product formation revealed that carbon steel treated with HSLE and immersed in 1.72 g/L of mixed acid contained low amounts of iron. The study concluded that HSLE absorption on API 5LX70 carbon steel in 1–3% blended acid can be modeled and optimized.
Graphical Abstract