Parametric Study on Environmetal Loads of Hindcast and Measured Full Scale Data

The reason of determining the probability of
extreme occurrences of wind speed, wave height and current flow
is due to the large impact these environmental loads have on the
offshore facilities. These occurrences are difficult to predict and
may happen once in many years. Several techniques can be used
to extract and derive wind, wave and current information from
the measured or measured full scale metocean data (PARAS).
However, to rely on the measured metocean data alone may not be
representative of the accurate sea conditions found locally. This
requires correlating the measured metocean data to data derived
from Hindcast.
This research focuses on the parametric studies of two (2) types
of data which are PARAS and hindcast. The hindcast model here
is referred to as SEAMOS-South Fine Grid hindcast (SEAFINE)
which is derived from a Joint Industry Project (JIP). The
objectives of this research are to compare the statistical properties
of measured full scale metocean data to the hindcast data through
the correlation between winds, waves and currents of measured
full scale metocean data and hindcast data in the basins off the
coast of Malaysia and finally to validate with statistical certainty
on the reliability of the hindcast data.
This paper demonstrates some of the previous hindcast
studies that have been done in some other regions. The statistical
analysis, time series of metocean data and its correlation results
are presented here in.
Keywords-component; Hindcast, SEAFINE, Time Series, Wind,
Wave and Current Correlation