## 4 Conclusions  
In offshore drilling systems, the localization rate of equipment is less than 20%, and the monopoly of a few foreign conglomerates over the equipment is intensifying. To break this monopoly, active technology development and market entry strategies are required. Recently, the demands of ship owners for drilling systems have diversified and the complexity of integrated systems has increased. In this study, the overall pressure loss of the BTS is modeled and simulated. Real test data and simulation results are compared and analyzed to verify the simulation model. In addition, an air booster is installed and used to compensate for the pressure loss and thereby prevent clogging. A genetic algorithm is used to determine the number of air boosters required to optimize pressure loss and the distance between the boosters. The major results obtained are as follows.  
1. A BTS was modeled and simulated to mitigate the clogging problem frequently encountered in transfer pipelines.  
Figure 14: Vertical pressure loss simulation of BTS for different cases.  
\begin{table}
\begin{tabular}{c c c c c c} \hline  & \(y_{1}\) **(m)** & \(y_{2}\) **(m)** & \(y_{3}\) **(m)** & \(y_{4}\) **(m)** & **Inlet Pressure (bar)** & **Outlet Pressure (bar)** \\ \hline Case 1 & N/A & N/A & N/A & N/A & 3.80 & 3.66 \\ Case 2 & N/A & N/A & N/A & N/A & 3.88 & 2.99 \\ Case 3 & 6.00 & 9.00 & 12.00 & 15.00 & 3.80 & 3.33 \\ Case 4 & 5.85 & 12.45 & 16.45 & 18.45 & 3.80 & 3.53 \\ \hline \end{tabular}
\end{table}
Table 8: Comparison of pressure loss along air booster positions.  
2. A numerical analysis was performed to optimize the pressure loss, to improve productivity. Pressure loss was modeled, and a pipeline was simulated to prevent the blockage problem in the BTS, and an empirical test was performed to validate the simulation model for comparative verification.
3. The simulation verification of the BTS indicated that the error rate was 4.27%. The reliability of the model can be further increased by continuously testing and upgrading the model. Additionally, four cases were simulated based on the verified model.
4. The pressure loss was optimized by applying a genetic algorithm to the air boosters that compensate for the pressure loss. The number of air boosters required and the distance between them were obtained. The optimized air booster compensated the pressure loss for approximately 0.54 bar.
5. To expand the applicability of the simulation model, further systematic experiments should be performed in the future for the saturation of the HILS.  
Moreover, based on the optimized BTS, it is expected that a modeling and simulation application method can be developed for various facilities in offshore plants, and the optimized BTS is expected to contribute to the reduction of uncertainty and minimization of maintenance and repair costs during operation. It is also expected to contribute to the advancement of high-value fields such as construction, commissioning, installation, maintenance, and equipment localization improvement.  
Conceptualization, Y.K. and K.L.; Methodology, K.L.; Software, Y.K.; Validation, Y.K. and K.L.; Formal analysis, Y.K. and K.L.; Investigation, Y.K. and K.L.; Resources, Y.K. and K.L.; Data curation, Y.K., Writing--original draft preparation, Y.K.; Writing--review and editing, K.L.; Visualization, Y.K. and K.L.; Supervision, K.L.; Project administration, K.L.; Funding acquisition, K.L. All authors have read and agreed to the published version of the manuscript.  
This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (NRF-2017R1A2B4011329) and by Kyungnam University Foundation Grant, 2019.  
The authors declare no conflict of interest.