Ship's Seamargin are essential for ship's operator, owner and builder to obtain the optimal fleet, management and plan. In this paper, the authors tried to estimate the statistical structure of the every day data Power Seamargin in the Pacific southwest service container ship ship from her Abstract logbook. The model which is used in this paper, SEAMARGIN=Const.+(Aging effect)+(Fouling effect)+(Seasonal effect)+(Weather effect)+(Time series effect)+Noise The model is determined by the Minimum AIC Procedure. According to such an analysis, the following results are gained, namely, 1) The aging effect which can not recover even after a dock repairing, is estimated to be 4.2% (per year). 2) but the fouling effect which can recover after it, to be 0.8% (per year) of which value is small comparing with that of the data in the Persian Gulf. 3) The seasonal effect is estimated to obtain a strong one in winter season.
