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"Considering the importance of liquid static holdup in liquid-liquid extraction columns, a novel experimental approach for predicting the mentioned parameter in a rotary sieved disc contactor has is presented in this research. One chemical system without mass transfer was used, in which distilled water and butyl acetate were employed as the continuous and the dispersed phase, respectively. The static holdup has been measured using the draining method. Based on the experimental results, one correlation was proposed to predict the static holdup as a function of stage position in the column and rotating speed in the form of Reynolds numbers and also the dimensionless mother drop size. Changes in static holdup caused by each factor have been discussed and graphically illustrated. It was revealed that an increase in mother drop size will cause the growth of static holdup, while the rise of rotating speed will decrease the amount of static holdup. Furthermore, it was proven that static holdups in upper positions in the column are less than those in the lower positions."

"A correlation has been proposed for mean drop diameter in a Rotating Sieved Disc Contactor (RSDC) considering drops break up, as well as drops coalescence with static holdup in the case of no mass transfer. The proposed correlation is a function of a number of stages, rotating speed in the form of Reynolds number, static hold-up and mother drop size. The effects of the last two terms have not been considered by other researchers. Therefore, the results are compared with two reported correlations to show how these two important terms influence the size of drops. Distilled water was used as a continuous phase and toluene was applied as a dispersed phase in the experiments. The absolute average relative error and standard deviation for the correlation were 14.74% and 10.08%, respectively."

"Penelitian ini bertujuan untuk mengidentifikasi lokasi kemungkinan terjadinya korosi dalam pipa penyalur gas bawah laut dan memverifikasi hasil pemodelan tersebut menggunakan data inspeksi langsung. Metode penelitian melibatkan pengumpulan data teknis pipa penyalur, data operasi, serta data inspeksi dari Non Destructive Testing (NDT) dan In Line Inspection (ILI) yang menggunakan prinsip Magnetic Flux Leakage (MFL). Langkah-langkah penelitian meliputi pengumpulan data, analisa data ILI, analisa data perawatan pipa, penilaian awal, pemodelan korosi dan penilaian lokasi korosi, serta evaluasi pemodelan dan hasil inspeksi ILI. Data yang digunakan mencakup komposisi kimia gas dan cairan, laju dan volume aliran, tekanan dan suhu, serta kondisi dasar laut. Pemodelan korosi dilakukan pada setiap lokasi dengan interval tertentu dalam satu sub-region menggunakan data aliran dari pemodelan multifasa. Hasil penelitian menunjukkan bahwa pemodelan aliran dan laju korosi dapat digunakan untuk memprediksi lokasi dan derajat keparahan dari korosi internal dengan tingkat akurasi model sebesar 66.6%. Model dengan perhitungan rentang jarak 500m dan laju korosi tinggi memiliki akurasi sebesar 42%, sementara model dengan perhitungan rentang jarak 500m dan laju korosi rendah memiliki akurasi sebesar 92%. Program mitigasi korosi menggunakan inhibitor cukup berhasil, namun beberapa lokasi menunjukkan laju korosi yang lebih tinggi.

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This research aims to identify potential corrosion locations in subsea gas pipelines and verify the modeling results using direct inspection data. The research method involves data collection of pipeline technical specifications, operational data, and inspection data from Non-Destructive Testing (NDT) and In-Line Inspection (ILI) using the Magnetic Flux Leakage (MFL) principle. The research steps include data collection, ILI data analysis, pipeline maintenance data analysis, initial assessment, corrosion modeling and location assessment, and evaluation of modeling and ILI inspection results. The data used includes the chemical composition of gas and liquid, flow rate and volume, pressure and temperature, and seabed conditions. Corrosion modeling is performed at each location with certain intervals within a sub-region using flow data from multiphase modeling. The results indicate that flow and corrosion rate modeling can predict the location and severity of internal pipeline corrosion with a model accuracy of 66.6%. Models with 500m interval calculations and high corrosion rates have an accuracy of 42%, while models with 500m interval calculations and low corrosion rates have an accuracy of 92%. The corrosion mitigation program using inhibitors is generally successful, though some locations exhibit higher corrosion rates."