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Abed, Wali, & Alaziz
(b) Scattering plot examination.
Fig. 15: Continued.
V. CONCLUSION
The results of a numerical examination of the velocity,
pressure, and temperature distribution have been
satisfactorily modeled over various velocities and kinds of
fluid. In the case of oil, the production of the most dead
zones is seen, whereas, in the case of gas, the values are at
their lowest. Due to the thermally poor qualities of the gas
phase, insulation activity is encouraged to take place within
the pipe (thermal conductivity). The 2.5 meters per second
velocity enables more fluid mixing in the region where the
temperature distribution is most uniform. Compared to water
and gas, oil has a higher maximum pressure drop because of
its viscous forces and dead zones. The highest pressure drop
and highest velocity are both provided by the maximum
velocity. In this paper, An SVM was proposed for detecting
leakage at four points in 3 m, 4.5 m, 6 m, and 9 m pipelines
using a pressure sensor. The dataset of this study was
obtained from the simulation with three parameters of
velocity, pressure, and temperature. Each parameter consists
of three values (0.1, 1, 2.5 m/s). The SVM and DT models
get an average accuracy (validation) of 98.8%, and 99.87%,
respectively for classification. Comparing the results
obtained, we conclude that we obtain higher accuracy when
training and testing the DT. So, for this data type, it is best to
use the DT algorithm because it is faster and more accurate
than another algorithm. For future work, different
classification algorithms could be applied and the resulting
classification accuracy could be compared to achieve higher
efficiency.
CONFLICT OF INTEREST
The authors have no conflict of relevant interest to this
article.
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