Leerojanaprapa, Kanogkan

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Preferred name
Leerojanaprapa, Kanogkan
Alternative Name
Leerojanaprapa, K.
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Email
kanogkan.le@kmitl.ac.th

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    Item type:Publication,
    Modeling Equivalent Circulating Density During Drilling Operations in the Gulf of Thailand
    (2026-03-31)
    Leerojanaprapa, Kanogkan
    ;
    Suttaloon, Sudarat
    ;
    Bhundarak, Komn
    ;
    Sirikasemsuk, Kittiwat
    Equivalent Circulating Density (ECD) represents the total hydrostatic pressure generated by drilling fluid while in motion. This prevents the internal pressure within the well from exceeding the fracture resistance of the rock, which could lead to lost circulation and an inability to effectively control the wellbore pressure. This research aims to predict ECD in 6.125-inch production section in Gulf of Thailand field by using five machine learning algorithms were utilized, namely Support Vector Machine (SVM), Random Forest (RF), Artificial Neural Networks (ANN), Gradient Boosting (GB), and Extreme Gradient Boosting (XGBoost). Various sensors from the Measure While Drilling (MWD), Logging While Drilling (LWD), and Pressure While Drilling (PWD) tools were used to collect raw data, totaling 38,863 records and 24 variables to predict the ECD value. The dataset was randomly split into 80% for training and validation and 20% for testing. The results indicate that the RF technique outperformed the other models in predicting ECD values, producing the lowest RMSE of 0.031. Therefore, the RF model is most suitable for further development and real-time application in predicting ECD values.
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    Item type:Publication,
    Inventory Management for Consumer Products: A Distribution Center in Thailand
    (2022-01-01)
    Leerojanaprapa, Kanogkan
    ;
    Bhundarak, Komn
    ;
    Atthirawong, Walailak
    ;
    Sirikasemsuk, Kittiwat
    The objective of the study is to formulate an appropriate order quantity policy. A best-selling product, a cleaner fresher mouth, was selected to be a representative of this study. Monthly Sales data of the cleaner fresher product was collected from January 2013 to December 2021, for 9 years, to forecast the sales of each product. Two forecasting techniques i.e. Exponential Smoothing and Box-Jenkins methods were compared to select the appropriate forecasting method by using MSE criterion. It was found that the Triple Exponential Method was the suitable forecasting model to forecast demand for the cleaner fresher products. These forecast values were then applied in inventory planning to determine the order policy by using Economic Order Quantity (EOQ) method of inventory management. The results found that EOQ technique resulted in a reduction in total cost rather than the company's current technique by 27.80%•
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    Item type:Publication,
    Measuring the Efficiency of Thai Commercial Banks during the COVID-19 Pandemic by Data Envelopment Analysis
    (2022-08-26)
    Leerojanaprapa, Kanogkan
    ;
    Bhundarak, Komn
    ;
    Atthirawong, Walailak
    ;
    Sirikasemsuk, Kittiwat
    This study intends to measure the comparative efficiency of Thai Commercial Banks. The performance data has been collected over the past 2 years, between 2020 and 2021 during the COVID-19 pandemic and then compared to performance during the normal period of 2017-2018. Data Envelopment Analysis (DEA) using Variable Return to Scale (VRS) is applied to measure banking performance. Through Intermediation Approach, specific input variables are considered: employee expenses, directors' remuneration expenses, premises and equipment expenses and deposits. The output variables, including loans to customers and investment, are also analyzed.The same time, through the Production Approach, these specific input variables are analyzed: employee expenses, directors' remuneration expenses, premises and equipment expenses, fees and service expenses, taxes and duties and interest expenses. The output variables, including interest income, fee and service income, deposit, and loans to customers, are used to analyze the efficiency. The results of analysis with the Intermediation Approach indicate 5 of 13 Thai Commercial Banks were considered relatively inefficient including BAY, BBL, KBANK, SCB and SCBT. In addition, CIMB is 1 of 13 Thai Commercial Banks is considered as relatively inefficient under the Production Approach.