SlideShare ist ein Scribd-Unternehmen logo
1 von 12
Downloaden Sie, um offline zu lesen
K. Sadeghi, GAU J. Soc. & Appl. Sci., 3(5), 1-12, 2007

A Numerical Simulation for Predicting Sea Waves
Characteristics and Downtime for Marine and Offshore
Structures Installation Operations
Kabir Sadeghi1
Girne American University, Department of Electrical and Electronic Engineering,
TRNC

Abstract
In this paper, a numerical simulation of sea wave characteristics and operation
downtimes of offshore structures is presented. The simulation was based on available
wind data and seawater temperature recorded by an oceanography buoy installed in
the Caspian Sea. Wave characteristics were simulated for deepwater parts of the
Caspian Sea by applying the Bretschneider spectrum and equations using following
recorded data: wind velocity, wind duration, fetch length, and water/air temperature
differences. Since recorded wave data were only available for a one-year period, they
were solely used for validation of the simulation results with recorded data but for
not the simulation itself. Some practically established thresholds for wave velocity,
wave period, and wind velocity were considered as constrains, limiting the operation
of offshore installations. The numerical simulation model revealed that it is possible
to operate offshore installations for 250 days per year in the southern parts of the
Caspian Sea. A worst-case scenario showed that the maximum waiting time for
restarting the offshore installations is 17 days. Considering the swell parameter, it
was concluded that the annual downtime period of offshore installation operations in
southern parts of the Caspian Sea is about one third of a year and the maximum
waiting time for this operation is about two third of a month.
Keywords: Simulation, Bretschneider, Wave Height/Period, Caspian Sea, Marine
Introduction
In order to design, calculate, construct, and install coastal, port, marine, and
offshore structures, environmental data are needed, in particular wave and wind
data. To determine wave data, simulation models, measuring devices, and remote
sensing by satellites are used. Obtaining valuable and long-term environmental
data by measuring devices or satellites is time consuming and very expensive. In
addition, these types of data are not available for all regions.
1

ksadeghi@gau.edu.tr

1
Wave Characteristics and Downtimes of Offshore Structures

Because of the above-mentioned drawbacks of the direct measuring methods,
simulation models are widely used in establishing environmental data. They are
easy to use and are applicable for every geographical area, provided valid
equations and spectrums are chosen, calibrated, and well adapted to the specific
situation. To predict the wave characteristics in lakes, gulfs, seas, and oceans, the
equations and spectrums of Sverdrup-Munk-Bretschneider (S.M.B), Bretschneider,
Pierson-Moskowitz, and JONSWAP (Joint North Sea Wave Project) are mainly
used. These models can be adapted to every point in any water depth in the sea
waters (Sadeghi 2001).
To evaluate the validity of the Bretschneider spectrum, a case study was carried out
by the author for the Caspian Sea. The Bretschneider spectrum was selected for this
study because its equations and spectrums consider the very important parameter of
water/air temperature differences.
The Caspian Sea was chosen as study area, since sufficient wave characteristics
data are not available for some parts of the Caspian Sea allowing the evaluation of
sensitive operations such as installations of offshore petroleum platforms and the
like. Simulation of wave characteristics was carried out based on available wind
data recorded by Khazar Oceanography Buoy (KEPCO 2001). This buoy is located
in the south-eastern part of Caspian Sea, 30 km from Neka Harbour at a water
depth of 35 m and operated by KEPCO (Iranian Company for Exploration of Oil in
Caspian Sea).
Wave characteristics were simulated for deep water parts of the Caspian Sea based
on recorded wind data using the Bretschneider spectrum (Bhattacharyya 1972,
Cold Bay Study [CBS] 1999) and various modeling equations (U.S. Army Coastal
Engineering Research Center 1980, Sadeghi 1989, 2001). Wind duration, wind
velocity, fetch length, and water/air temperature differences were considered in the
simulation. Some constrains for wave velocity, wave period and wind velocity
were used as limitation criteria for offshore installation operations. It is important
to mention that only one-year wave data were available for the study area. Thus,
these data have only local validity and are not valid for other points of the Caspian
Sea, particularly for deep-water areas. Therefore, the recorded wave data were only
used for comparison purpose and were not applied in the simulation.
Information and data used
General information on environmental conditions (wave, wind, current, etc.)
obtained from literature were used for general consideration and overall
engineering judgments (U.S. Army Coastal Engineering Research Center 1980,
Sadeghi 1989, 2001). The data used in the wave characteristic simulations were
taken from KEPCO (2001).

2
K. Sadeghi, GAU J. Soc. & Appl. Sci., 3(5), 1-12, 2007

Formulas used in this study
The Bretschneider equations and spectrum were applied to predict forecasting the
wave characteristics (U.S. Army Coastal Engineering Research Center 1980, Sadeghi
1989, 2001, CBS 1999). The Bretschneider equations take the effects of wind
blowing duration, wind velocity, air-sea temperature difference, and fetch length
into account.
Summary of assumptions and analysis approach
The analysis is based on one-year environmental data recorded in the Caspian Sea,
and Bretschneider equations and Rayliegh distributions for prediction of wave
characteristics (Bhattacharyya 1972, U.S. Army Coastal Engineering Research Center
1980, Sadeghi 1989, 2001, 2004, DNV Classification Notes, 2000).
Following assumptions and analysis steps were applied:
a. Since there is lack of wind data for all points in south Caspian Sea, the
wind data recorded in the location of the above-mentioned buoy were
used for all points of the south Caspian Sea considering different fetch
lengths. Comparing the wind data for different parts of the south
Caspian Sea presented in literature (Kosarev & Yablonskaya 1994)
showed that this assumption could be considered as a valid.
b. A summary of used formulas based on the Bretschneider spectrum is
presented.
c. Data on seawater temperature, wind velocity, direction of wind, wind
duration, and air temperature were taken from KEPCO Engineering
Department measured by the KEPCO buoy (KEPCO 2001) and were
used for the numerical simulation of wave characteristics of the south
Caspian Sea. It is to be underlined that the available one-year data
covers only a certain period (1988/1989).
d. In the available data (KEPCO 2001), the period of each set of record
is three hours. It is important to note that this 3-hour period is not
necessarily the wind blowing duration. Therefore following criteria
were used for evaluating the wind duration:
If the directions of wind for two consecutive sets of recorded data
were different, the wind duration is considered as 1.5 × 3 hours
(because of difference between measuring period and real wind
duration by considering minimum probable duration of 4.5 hours).

3
Wave Characteristics and Downtimes of Offshore Structures

If the differences among wind directions between every two
consecutive periods of recorded data were less than 7 degrees, the
consecutive accumulated wind measuring duration were
considered as wind blowing duration (t). In this case the average
wind velocity was also used.
e. With regard to wind velocity and blowing duration, the required
related minimum fetch was calculated from the Bretschneider
equation which should be less than maximum effective fetch existing
in the south Caspian Sea (i.e. 450 km).
f. Based on the Bretschneider spectrum, the ratio of maximum wave
height over significant wave height is normally bigger than two. In
this study the Rayliegh ratio for Hmax/Hs was used for the benefit of
simplicity (i.e. Hmax/Hs = 1.85) (DNV Classification Notes 2000,
Sadeghi 2001).
g. Significant wave height, significant wave period, and peak period
were calculated based on the Bretschneider equation considering the
air-sea water temperature difference.
h. Constraints for the limitation of installation operation were defined as
follows:
Maximum wind velocity equal to 20 Knots
Maximum wave height equal to 2 meters
Maximum wave period equal to 8 seconds
Installation operation duration equal to 5 days (This duration is
considered for mooring and installation operation of the IranAlborz semi-submersible drilling platform in water depth of 970
m in the Caspian Sea).
Wave characteristics simulation results
Comparison of simulated and recorded wave characteristics
Simulated wave height and period for the south Caspian Sea were compared with
recorded wave height and period for a distinct point in this sea (30 km from Neka
Harbour, at 35 m water depth). It is important to note that the results of simulated
values were different from that of existing recorded values at that certain point. The
reason is that the reference point in this study was located at the south-east corner
4
K. Sadeghi, GAU J. Soc. & Appl. Sci., 3(5), 1-12, 2007

of Caspian Sea and thus, the fetch will be different from other points at southern
basin of Caspian Sea.
Figures 1, 2, 3, and 4 present the maximum wave height (Hmax in meters) versus
time (sets of 3 hours registered data). In the horizontal axis of these figures, 40
means 40 × 3 hours that equals to five days and 720 means 720 × 3 hours
equaling three months.
Figures 5, 6, 7 and 8 show the recorded values of Hmax. As it can be seen from these
figures the simulated values are generally well adopted with the recorded values
but a little bigger than them due to longer fetches.
8.0

Hmax (Simulated)
7.0

Non Operational Days = 17

Maximum Wave Height (m)

6.0

5.0

Non Operational Days = 7
Non Operational Days = 2

4.0

3.0

Limit Line as per Criteria
2.0

1.0

0.0

1

41

81

121

161

201

241

281

321

361

401

441

481

Time (Number of Registration 3 hours period)

Figure 1. Simulated maximum wave height for months 11, 12, year 1988 and month
1, year 1989.
As shown in figures 7 and 8 for an about two-month periods, the wave heights
were not recorded, but for the time period, the wave heights were simulated and are
presented in figures 3 and 4.
Figures 9, 10, 11 and 12 show the simulated peak period (Tm) versus time (sets of 3
hours registered data).
On the above-mentioned figures, the limitation criteria are shown by full block
lines and also the non-operational days are presented. It is to be mentioned that the
recorded and simulated wave periods were moderately different. This is mainly due
to the swell effect that has not been considered in Bretschneider formula and as a
result of the numerical simulation.
5
Wave Characteristics and Downtimes of Offshore Structures
8.0

Hmax (Simulated)
7.0

Maximum Wave Height (m)

6.0

Non Operational Days = 7
5.0

N. Op. D. = 1

N. Op. D. = 1

N. Op. D. = 1
N. Op. D. = 1

4.0

N. Op. D. = 1

N. Op. D. = 1
3.0

Limit Line as per Criteria
2.0

1.0

0.0

1

41

81

121

161

201

241

281

321

361

401

441

481

521

561

601

641

681

Time (Number of Registration 3 hours period)

Figure 2. Simulated maximum wave height for months 2, 3 and 4, year 1989.

8.0

Hmax (Simulated)
7.0

Maximum Wave Height (m)

6.0

Non Operational Days = 12

5.0

N. Op. D. = 1

N. Op. D. = 9

N. Op. D. = 3

4.0

N. Op. D. = 1

3.0

Limit Line (Criteria)

2.0

1.0

0.0

1

41

81

121

161

201

241

281

321

361

401

441

481

521

561

601

641

681

721

Time (Number of Registration 3 hours period)

Figure 3. Simulated maximum wave height for months 5, 6 and 7, year 1989.
6
K. Sadeghi, GAU J. Soc. & Appl. Sci., 3(5), 1-12, 2007
8.0

Hmax (Simulated)
7.0

Maximum Wave Height (m)

6.0

N. Op. D. = 7
Non Operational Days = 12

5.0

N. Op. D. = 1

N. Op. D. = 2

4.0

N. Op. D. = 1

N. Op. D. = 1

N. Op. D. = 1

3.0

Limit Line as per Criteria
2.0

1.0

0.0

1

41

81

121

161

201

241

281

321

361

401

441

481

521

561

601

641

681

721

761

Time (Number of Registration 3 hours period)

Figure 4. Simulated maximum wave height for months 8, 9, 10 and 11, year 1989.
8.0

Hmax (Recorded)
7.0

Non Operational Days = 13

Maximum Wave Height (m)

6.0

5.0

N. Op. D. = 2

N. Op. D. = 8

4.0

3.0

Limit Line as per Criteria
2.0

1.0

0.0

1

41

81

121

161

201

241

281

321

361

401

441

481

Time (Number of Registration 3 hours period)

Figure 5. Recorded maximum wave height for months 11, 12, year 1988 and month 1,
year 1989

7
Wave Characteristics and Downtimes of Offshore Structures
8.0

Hmax (Recorded)
7.0

Maximum Wave Height (m)

6.0

Non Operational Days = 6
5.0

N. Op. D. = 1

N. Op. D. = 1
N. Op. D. = 1

4.0

N. Op. D. = 1

N. Op. D. = 4

N. Op. D. = 1
3.0

Limit Line as per Criteria
2.0

1.0

0.0

1

41

81

121

161

201

241

281

321

361

401

441

481

521

561

601

641

681

Time (Number of Registration 3 hours period)

Figure 6. Recorded maximum wave height for months 2, 3 and 4, year 1989.

8.0

Hmax (Recorded)
7.0

Maximum Wave Height (m)

6.0

5.0

Not Recorded
N. Op. D. = 1

4.0

Non Operational Days = 3

3.0

Limit Line as per Criteria
2.0

1.0

0.0

1

41

81

121

161

201

241

281

321

361

401

441

481

521

561

601

641

Time (Number of Registration 3 hours period)

Figure 7. Recorded maximum wave height for months 5, 6 and 7, year 1989.

8

681

721
K. Sadeghi, GAU J. Soc. & Appl. Sci., 3(5), 1-12, 2007
8.0

Hmax (Recorded)
7.0

N. Op. D. = 1

Maximum Wave Height (m)

6.0

N. Op. D. = 3
Non Operational Days = 11

5.0

N. Op. D. = 4

N. Op. D. = 1

4.0

N. Op. D. = 5
3.0

Limit Line (Criteria)
2.0

1.0

0.0

1

41

81

121

161

201

241

281

321

361

401

441

481

521

561

601

641

681

721

761

Time (Number of Registration 3 hours period)

Figure 8. Recorded maximum wave height for months 8, 9, 10 and 11, year 1989.
15
14

Tm (Simulated)

13
12
11

Peak Period (s)

10
9

Limit Line as per Criteria
8
7
6
5
4
3
2
1
0

1

41

81

121

161

201

241

281

321

361

401

441

481

Time (Number of Registration 3 hours period)

Figure 9. Simulated peak period for months 11, 12, year 1988 and month 1, year 1989.

9
Wave Characteristics and Downtimes of Offshore Structures
15
14

Tm (Simulated)
13
12
11

Peak Period (s)

10
9

Limit Line as per Criteria
8
7
6
5
4
3
2
1
0

1

41

81

121

161

201

241

281

321

361

401

441

481

521

561

601

641

681

Time (Number of Registration 3 hours period)

Figure 10. Simulated peak period for months 2, 3 and 4, year 1989.
15
14

Tm (Simulated)

13
12
11

Peak Period (s)

10
9

Limit Line as per Criteria
8
7
6
5
4
3
2
1
0

1

41

81

121

161

201

241

281

321

361

401

441

481

521

Time (Number of Registration 3 hours period)

Figure 11. Simulated peak period for months 5, 6 and 7, year 1989.

10

561

601

641

681

721
K. Sadeghi, GAU J. Soc. & Appl. Sci., 3(5), 1-12, 2007
15
14

Tm (Simulated)
13
12
11

Peak Period (s)

10
9

Limit Line as per Criteria
8
7
6
5
4
3
2
1
0

1

41

81

121

161

201

241

281

321

361

401

441

481

521

561

601

641

681

721

761

Time (Number of Registration 3 hours period)

Figure 12. Simulated peak period for months 8, 9, 10 and 11, year 1989.

Conclusion
Due to the limitation of the existing recorded data (only one year available data for
a certain point near the shoreline), this simulation can be considered only as a
guide for evaluation of situations and can be used only for preliminary estimations.
Considering the operational constraints (Hmax = 2 m, Tm = 8 s and gust velocity =
20 Knots) used for numerical simulation, an installation operation of 250 days per
year is possible. The maximum waiting time for restarting the installation operation
is estimated to last 17 days.
As only the seas are simulated and due to lack of data and information for swell, it
can be in general concluded that the installation operation is possible for 2/3 of the
year and the maximum waiting time for this operation is about 2/3 of months.
References
Bhattacharyya R, 1972. Dynamics of marine vehicles.
Cold Bay Study [CBS], 1999. Section IV (Climatology).
11
Wave Characteristics and Downtimes of Offshore Structures

DNV Classification Notes, 2000. Environmental conditions and environmental
loads, No. 30.5, March 2000.
KEPCO Engineering Department, 2001. "Work Report on data obtained from
Khazar oceanography buoy and related CD electronic file", winter of 2001.
Kosarev AN, Yablonskaya EA, 1994. The Caspian Sea, translated from Russia by
Winstin AK, published by SPB Academic Publishing, The Hague.
Sadeghi K, 1989. Design and analysis of marine structures. Published by Khajeh
Nasirroddin Toosi University of Technology, Tehran, Iran, 1989, 456 pp.
Sadeghi K, 2001. Coasts, ports and offshore structures engineering. Published by
Power and Water University of Technology, Tehran, Iran, 501 pp [ISBN: 96493442-0-9]
Sadeghi K, 2004. An analytical approach to predict downtime in Caspian Sea for
installation operations. 6th International Conference on Ports, Coasts and Marine
Structures (ICOPMAS 2004), Tehran, Iran, Dec. 2004.
U.S. Army Coastal Engineering Research Center, 1980. Shore protection manual,
Vol. 1 & 2, 4th edition.

12

Weitere ähnliche Inhalte

Was ist angesagt?

Comparative Analysis of High Speed Craft Hydrodynamic Characterization Algori...
Comparative Analysis of High Speed Craft Hydrodynamic Characterization Algori...Comparative Analysis of High Speed Craft Hydrodynamic Characterization Algori...
Comparative Analysis of High Speed Craft Hydrodynamic Characterization Algori...
International Journal of Modern Research in Engineering and Technology
 
Design of concrete Gravity Dam_Project B.E final
Design of concrete Gravity Dam_Project B.E finalDesign of concrete Gravity Dam_Project B.E final
Design of concrete Gravity Dam_Project B.E final
Syed Salman
 
harbour and dock engineering ppt 01 introduction
harbour and dock engineering ppt 01 introductionharbour and dock engineering ppt 01 introduction
harbour and dock engineering ppt 01 introduction
Hasna Hassan
 
Docks and their classification
Docks and their classificationDocks and their classification
Docks and their classification
Latif Hyder Wadho
 
Terms related to docks and harbours
Terms related to docks and harboursTerms related to docks and harbours
Terms related to docks and harbours
Latif Hyder Wadho
 
ARMF 2014 USCG Technical Paper
ARMF 2014 USCG Technical PaperARMF 2014 USCG Technical Paper
ARMF 2014 USCG Technical Paper
Janna Ellis Kepley
 

Was ist angesagt? (20)

Docks & harbors construction
Docks & harbors construction  Docks & harbors construction
Docks & harbors construction
 
Comparative Analysis of High Speed Craft Hydrodynamic Characterization Algori...
Comparative Analysis of High Speed Craft Hydrodynamic Characterization Algori...Comparative Analysis of High Speed Craft Hydrodynamic Characterization Algori...
Comparative Analysis of High Speed Craft Hydrodynamic Characterization Algori...
 
Harbours Engineering
 Harbours Engineering  Harbours Engineering
Harbours Engineering
 
1976 floating breakwater performance
1976  floating breakwater performance1976  floating breakwater performance
1976 floating breakwater performance
 
ARMF 2014 USCG White Paper
ARMF 2014 USCG White PaperARMF 2014 USCG White Paper
ARMF 2014 USCG White Paper
 
Harbour engineering - Railways, airports, docks and harbour engineering (RAHE)
Harbour engineering - Railways, airports, docks and harbour engineering  (RAHE)Harbour engineering - Railways, airports, docks and harbour engineering  (RAHE)
Harbour engineering - Railways, airports, docks and harbour engineering (RAHE)
 
H & d ppt 06 repair docks
H & d ppt 06 repair docksH & d ppt 06 repair docks
H & d ppt 06 repair docks
 
Design of concrete Gravity Dam_Project B.E final
Design of concrete Gravity Dam_Project B.E finalDesign of concrete Gravity Dam_Project B.E final
Design of concrete Gravity Dam_Project B.E final
 
Berthing structures
Berthing structuresBerthing structures
Berthing structures
 
harbour and dock engineering ppt 01 introduction
harbour and dock engineering ppt 01 introductionharbour and dock engineering ppt 01 introduction
harbour and dock engineering ppt 01 introduction
 
Final project
Final projectFinal project
Final project
 
Drillships
DrillshipsDrillships
Drillships
 
IRJET- A Study on the Optimization of Highly Stabled Ships by using Roll Stab...
IRJET- A Study on the Optimization of Highly Stabled Ships by using Roll Stab...IRJET- A Study on the Optimization of Highly Stabled Ships by using Roll Stab...
IRJET- A Study on the Optimization of Highly Stabled Ships by using Roll Stab...
 
Diving and propulsion system of modern diesel-electric submarine
Diving and propulsion system of modern diesel-electric submarineDiving and propulsion system of modern diesel-electric submarine
Diving and propulsion system of modern diesel-electric submarine
 
Docks and their classification
Docks and their classificationDocks and their classification
Docks and their classification
 
4. HARBOUR INFRASTRUCTURES (PHE) GTU 3170623
4. HARBOUR INFRASTRUCTURES (PHE) GTU 31706234. HARBOUR INFRASTRUCTURES (PHE) GTU 3170623
4. HARBOUR INFRASTRUCTURES (PHE) GTU 3170623
 
3732 2803-1-pb
3732 2803-1-pb3732 2803-1-pb
3732 2803-1-pb
 
Terms related to docks and harbours
Terms related to docks and harboursTerms related to docks and harbours
Terms related to docks and harbours
 
HARBOUR ENGINEERING
HARBOUR ENGINEERING HARBOUR ENGINEERING
HARBOUR ENGINEERING
 
ARMF 2014 USCG Technical Paper
ARMF 2014 USCG Technical PaperARMF 2014 USCG Technical Paper
ARMF 2014 USCG Technical Paper
 

Ähnlich wie A Numerical Simulation for Predicting Sea Waves Characteristics and Downtime for Marine and Offshore Structures Installation Operations

Publication_Draft_09Aug
Publication_Draft_09AugPublication_Draft_09Aug
Publication_Draft_09Aug
Kevin Schmidt
 
AIP-Procceding-Article
AIP-Procceding-ArticleAIP-Procceding-Article
AIP-Procceding-Article
Mehdi Karimi
 
CorbellaPringle&Stretch_Spectra&CPs_CE2015
CorbellaPringle&Stretch_Spectra&CPs_CE2015CorbellaPringle&Stretch_Spectra&CPs_CE2015
CorbellaPringle&Stretch_Spectra&CPs_CE2015
Justin Pringle
 
TU2.T10.2.ppt
TU2.T10.2.pptTU2.T10.2.ppt
TU2.T10.2.ppt
grssieee
 
GIS based spatial distribution of Temperature and Chlorophyll-a along Kalpakk...
GIS based spatial distribution of Temperature and Chlorophyll-a along Kalpakk...GIS based spatial distribution of Temperature and Chlorophyll-a along Kalpakk...
GIS based spatial distribution of Temperature and Chlorophyll-a along Kalpakk...
IJERA Editor
 
EVALUATIONS OF WIND VECTORS OBSERVED BY ASCAT USING STATISTICAL DISTRIBUTIONS
EVALUATIONS OF WIND VECTORS OBSERVED BY ASCAT USING STATISTICAL DISTRIBUTIONSEVALUATIONS OF WIND VECTORS OBSERVED BY ASCAT USING STATISTICAL DISTRIBUTIONS
EVALUATIONS OF WIND VECTORS OBSERVED BY ASCAT USING STATISTICAL DISTRIBUTIONS
grssieee
 
TU4.T10.1.pptx
TU4.T10.1.pptxTU4.T10.1.pptx
TU4.T10.1.pptx
grssieee
 
TGS GPS Offshore Southern Brazil
TGS GPS Offshore Southern Brazil TGS GPS Offshore Southern Brazil
TGS GPS Offshore Southern Brazil
TGS
 

Ähnlich wie A Numerical Simulation for Predicting Sea Waves Characteristics and Downtime for Marine and Offshore Structures Installation Operations (20)

Publication_Draft_09Aug
Publication_Draft_09AugPublication_Draft_09Aug
Publication_Draft_09Aug
 
AIP-Procceding-Article
AIP-Procceding-ArticleAIP-Procceding-Article
AIP-Procceding-Article
 
Extinction of Millimeter wave on Two Dimensional Slices of Foam-Covered Sea-s...
Extinction of Millimeter wave on Two Dimensional Slices of Foam-Covered Sea-s...Extinction of Millimeter wave on Two Dimensional Slices of Foam-Covered Sea-s...
Extinction of Millimeter wave on Two Dimensional Slices of Foam-Covered Sea-s...
 
CWW-(El-Salloum New Marina) Drawing.pdf
CWW-(El-Salloum New Marina) Drawing.pdfCWW-(El-Salloum New Marina) Drawing.pdf
CWW-(El-Salloum New Marina) Drawing.pdf
 
Sustainable Marine Structures | Volume 04 | Issue 01 | January 2022
Sustainable Marine Structures | Volume 04 | Issue 01 | January 2022Sustainable Marine Structures | Volume 04 | Issue 01 | January 2022
Sustainable Marine Structures | Volume 04 | Issue 01 | January 2022
 
CorbellaPringle&Stretch_Spectra&CPs_CE2015
CorbellaPringle&Stretch_Spectra&CPs_CE2015CorbellaPringle&Stretch_Spectra&CPs_CE2015
CorbellaPringle&Stretch_Spectra&CPs_CE2015
 
TU2.T10.2.ppt
TU2.T10.2.pptTU2.T10.2.ppt
TU2.T10.2.ppt
 
Delineation of Hydrocarbon Bearing Reservoirs from Surface Seismic and Well L...
Delineation of Hydrocarbon Bearing Reservoirs from Surface Seismic and Well L...Delineation of Hydrocarbon Bearing Reservoirs from Surface Seismic and Well L...
Delineation of Hydrocarbon Bearing Reservoirs from Surface Seismic and Well L...
 
GIS based spatial distribution of Temperature and Chlorophyll-a along Kalpakk...
GIS based spatial distribution of Temperature and Chlorophyll-a along Kalpakk...GIS based spatial distribution of Temperature and Chlorophyll-a along Kalpakk...
GIS based spatial distribution of Temperature and Chlorophyll-a along Kalpakk...
 
Fulanda trawl duration and abundance estimations
Fulanda  trawl duration and abundance estimationsFulanda  trawl duration and abundance estimations
Fulanda trawl duration and abundance estimations
 
EVALUATIONS OF WIND VECTORS OBSERVED BY ASCAT USING STATISTICAL DISTRIBUTIONS
EVALUATIONS OF WIND VECTORS OBSERVED BY ASCAT USING STATISTICAL DISTRIBUTIONSEVALUATIONS OF WIND VECTORS OBSERVED BY ASCAT USING STATISTICAL DISTRIBUTIONS
EVALUATIONS OF WIND VECTORS OBSERVED BY ASCAT USING STATISTICAL DISTRIBUTIONS
 
F43012934
F43012934F43012934
F43012934
 
Characteristics and Resource Potentials of Nigerian Atlantic
Characteristics and Resource Potentials of Nigerian AtlanticCharacteristics and Resource Potentials of Nigerian Atlantic
Characteristics and Resource Potentials of Nigerian Atlantic
 
Briaud2001
Briaud2001Briaud2001
Briaud2001
 
TU4.T10.1.pptx
TU4.T10.1.pptxTU4.T10.1.pptx
TU4.T10.1.pptx
 
20320140503012
2032014050301220320140503012
20320140503012
 
The Impact of Seismic Facies Analysis on the Reservoir Architecture of “CHARL...
The Impact of Seismic Facies Analysis on the Reservoir Architecture of “CHARL...The Impact of Seismic Facies Analysis on the Reservoir Architecture of “CHARL...
The Impact of Seismic Facies Analysis on the Reservoir Architecture of “CHARL...
 
TGS GPS Offshore Southern Brazil
TGS GPS Offshore Southern Brazil TGS GPS Offshore Southern Brazil
TGS GPS Offshore Southern Brazil
 
microphone-strut-catalog
microphone-strut-catalogmicrophone-strut-catalog
microphone-strut-catalog
 
Analyzing the Sea Weather Effects to the Ship Maneuvering in Vietnam’s Sea fr...
Analyzing the Sea Weather Effects to the Ship Maneuvering in Vietnam’s Sea fr...Analyzing the Sea Weather Effects to the Ship Maneuvering in Vietnam’s Sea fr...
Analyzing the Sea Weather Effects to the Ship Maneuvering in Vietnam’s Sea fr...
 

Kürzlich hochgeladen

Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
panagenda
 
Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native Applications
WSO2
 

Kürzlich hochgeladen (20)

Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
 
AXA XL - Insurer Innovation Award Americas 2024
AXA XL - Insurer Innovation Award Americas 2024AXA XL - Insurer Innovation Award Americas 2024
AXA XL - Insurer Innovation Award Americas 2024
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
 
Apidays Singapore 2024 - Scalable LLM APIs for AI and Generative AI Applicati...
Apidays Singapore 2024 - Scalable LLM APIs for AI and Generative AI Applicati...Apidays Singapore 2024 - Scalable LLM APIs for AI and Generative AI Applicati...
Apidays Singapore 2024 - Scalable LLM APIs for AI and Generative AI Applicati...
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
 
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
 
Apidays Singapore 2024 - Modernizing Securities Finance by Madhu Subbu
Apidays Singapore 2024 - Modernizing Securities Finance by Madhu SubbuApidays Singapore 2024 - Modernizing Securities Finance by Madhu Subbu
Apidays Singapore 2024 - Modernizing Securities Finance by Madhu Subbu
 
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ..."I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
 
ICT role in 21st century education and its challenges
ICT role in 21st century education and its challengesICT role in 21st century education and its challenges
ICT role in 21st century education and its challenges
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century education
 
GenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdfGenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdf
 
A Beginners Guide to Building a RAG App Using Open Source Milvus
A Beginners Guide to Building a RAG App Using Open Source MilvusA Beginners Guide to Building a RAG App Using Open Source Milvus
A Beginners Guide to Building a RAG App Using Open Source Milvus
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
 
Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native Applications
 

A Numerical Simulation for Predicting Sea Waves Characteristics and Downtime for Marine and Offshore Structures Installation Operations

  • 1. K. Sadeghi, GAU J. Soc. & Appl. Sci., 3(5), 1-12, 2007 A Numerical Simulation for Predicting Sea Waves Characteristics and Downtime for Marine and Offshore Structures Installation Operations Kabir Sadeghi1 Girne American University, Department of Electrical and Electronic Engineering, TRNC Abstract In this paper, a numerical simulation of sea wave characteristics and operation downtimes of offshore structures is presented. The simulation was based on available wind data and seawater temperature recorded by an oceanography buoy installed in the Caspian Sea. Wave characteristics were simulated for deepwater parts of the Caspian Sea by applying the Bretschneider spectrum and equations using following recorded data: wind velocity, wind duration, fetch length, and water/air temperature differences. Since recorded wave data were only available for a one-year period, they were solely used for validation of the simulation results with recorded data but for not the simulation itself. Some practically established thresholds for wave velocity, wave period, and wind velocity were considered as constrains, limiting the operation of offshore installations. The numerical simulation model revealed that it is possible to operate offshore installations for 250 days per year in the southern parts of the Caspian Sea. A worst-case scenario showed that the maximum waiting time for restarting the offshore installations is 17 days. Considering the swell parameter, it was concluded that the annual downtime period of offshore installation operations in southern parts of the Caspian Sea is about one third of a year and the maximum waiting time for this operation is about two third of a month. Keywords: Simulation, Bretschneider, Wave Height/Period, Caspian Sea, Marine Introduction In order to design, calculate, construct, and install coastal, port, marine, and offshore structures, environmental data are needed, in particular wave and wind data. To determine wave data, simulation models, measuring devices, and remote sensing by satellites are used. Obtaining valuable and long-term environmental data by measuring devices or satellites is time consuming and very expensive. In addition, these types of data are not available for all regions. 1 ksadeghi@gau.edu.tr 1
  • 2. Wave Characteristics and Downtimes of Offshore Structures Because of the above-mentioned drawbacks of the direct measuring methods, simulation models are widely used in establishing environmental data. They are easy to use and are applicable for every geographical area, provided valid equations and spectrums are chosen, calibrated, and well adapted to the specific situation. To predict the wave characteristics in lakes, gulfs, seas, and oceans, the equations and spectrums of Sverdrup-Munk-Bretschneider (S.M.B), Bretschneider, Pierson-Moskowitz, and JONSWAP (Joint North Sea Wave Project) are mainly used. These models can be adapted to every point in any water depth in the sea waters (Sadeghi 2001). To evaluate the validity of the Bretschneider spectrum, a case study was carried out by the author for the Caspian Sea. The Bretschneider spectrum was selected for this study because its equations and spectrums consider the very important parameter of water/air temperature differences. The Caspian Sea was chosen as study area, since sufficient wave characteristics data are not available for some parts of the Caspian Sea allowing the evaluation of sensitive operations such as installations of offshore petroleum platforms and the like. Simulation of wave characteristics was carried out based on available wind data recorded by Khazar Oceanography Buoy (KEPCO 2001). This buoy is located in the south-eastern part of Caspian Sea, 30 km from Neka Harbour at a water depth of 35 m and operated by KEPCO (Iranian Company for Exploration of Oil in Caspian Sea). Wave characteristics were simulated for deep water parts of the Caspian Sea based on recorded wind data using the Bretschneider spectrum (Bhattacharyya 1972, Cold Bay Study [CBS] 1999) and various modeling equations (U.S. Army Coastal Engineering Research Center 1980, Sadeghi 1989, 2001). Wind duration, wind velocity, fetch length, and water/air temperature differences were considered in the simulation. Some constrains for wave velocity, wave period and wind velocity were used as limitation criteria for offshore installation operations. It is important to mention that only one-year wave data were available for the study area. Thus, these data have only local validity and are not valid for other points of the Caspian Sea, particularly for deep-water areas. Therefore, the recorded wave data were only used for comparison purpose and were not applied in the simulation. Information and data used General information on environmental conditions (wave, wind, current, etc.) obtained from literature were used for general consideration and overall engineering judgments (U.S. Army Coastal Engineering Research Center 1980, Sadeghi 1989, 2001). The data used in the wave characteristic simulations were taken from KEPCO (2001). 2
  • 3. K. Sadeghi, GAU J. Soc. & Appl. Sci., 3(5), 1-12, 2007 Formulas used in this study The Bretschneider equations and spectrum were applied to predict forecasting the wave characteristics (U.S. Army Coastal Engineering Research Center 1980, Sadeghi 1989, 2001, CBS 1999). The Bretschneider equations take the effects of wind blowing duration, wind velocity, air-sea temperature difference, and fetch length into account. Summary of assumptions and analysis approach The analysis is based on one-year environmental data recorded in the Caspian Sea, and Bretschneider equations and Rayliegh distributions for prediction of wave characteristics (Bhattacharyya 1972, U.S. Army Coastal Engineering Research Center 1980, Sadeghi 1989, 2001, 2004, DNV Classification Notes, 2000). Following assumptions and analysis steps were applied: a. Since there is lack of wind data for all points in south Caspian Sea, the wind data recorded in the location of the above-mentioned buoy were used for all points of the south Caspian Sea considering different fetch lengths. Comparing the wind data for different parts of the south Caspian Sea presented in literature (Kosarev & Yablonskaya 1994) showed that this assumption could be considered as a valid. b. A summary of used formulas based on the Bretschneider spectrum is presented. c. Data on seawater temperature, wind velocity, direction of wind, wind duration, and air temperature were taken from KEPCO Engineering Department measured by the KEPCO buoy (KEPCO 2001) and were used for the numerical simulation of wave characteristics of the south Caspian Sea. It is to be underlined that the available one-year data covers only a certain period (1988/1989). d. In the available data (KEPCO 2001), the period of each set of record is three hours. It is important to note that this 3-hour period is not necessarily the wind blowing duration. Therefore following criteria were used for evaluating the wind duration: If the directions of wind for two consecutive sets of recorded data were different, the wind duration is considered as 1.5 × 3 hours (because of difference between measuring period and real wind duration by considering minimum probable duration of 4.5 hours). 3
  • 4. Wave Characteristics and Downtimes of Offshore Structures If the differences among wind directions between every two consecutive periods of recorded data were less than 7 degrees, the consecutive accumulated wind measuring duration were considered as wind blowing duration (t). In this case the average wind velocity was also used. e. With regard to wind velocity and blowing duration, the required related minimum fetch was calculated from the Bretschneider equation which should be less than maximum effective fetch existing in the south Caspian Sea (i.e. 450 km). f. Based on the Bretschneider spectrum, the ratio of maximum wave height over significant wave height is normally bigger than two. In this study the Rayliegh ratio for Hmax/Hs was used for the benefit of simplicity (i.e. Hmax/Hs = 1.85) (DNV Classification Notes 2000, Sadeghi 2001). g. Significant wave height, significant wave period, and peak period were calculated based on the Bretschneider equation considering the air-sea water temperature difference. h. Constraints for the limitation of installation operation were defined as follows: Maximum wind velocity equal to 20 Knots Maximum wave height equal to 2 meters Maximum wave period equal to 8 seconds Installation operation duration equal to 5 days (This duration is considered for mooring and installation operation of the IranAlborz semi-submersible drilling platform in water depth of 970 m in the Caspian Sea). Wave characteristics simulation results Comparison of simulated and recorded wave characteristics Simulated wave height and period for the south Caspian Sea were compared with recorded wave height and period for a distinct point in this sea (30 km from Neka Harbour, at 35 m water depth). It is important to note that the results of simulated values were different from that of existing recorded values at that certain point. The reason is that the reference point in this study was located at the south-east corner 4
  • 5. K. Sadeghi, GAU J. Soc. & Appl. Sci., 3(5), 1-12, 2007 of Caspian Sea and thus, the fetch will be different from other points at southern basin of Caspian Sea. Figures 1, 2, 3, and 4 present the maximum wave height (Hmax in meters) versus time (sets of 3 hours registered data). In the horizontal axis of these figures, 40 means 40 × 3 hours that equals to five days and 720 means 720 × 3 hours equaling three months. Figures 5, 6, 7 and 8 show the recorded values of Hmax. As it can be seen from these figures the simulated values are generally well adopted with the recorded values but a little bigger than them due to longer fetches. 8.0 Hmax (Simulated) 7.0 Non Operational Days = 17 Maximum Wave Height (m) 6.0 5.0 Non Operational Days = 7 Non Operational Days = 2 4.0 3.0 Limit Line as per Criteria 2.0 1.0 0.0 1 41 81 121 161 201 241 281 321 361 401 441 481 Time (Number of Registration 3 hours period) Figure 1. Simulated maximum wave height for months 11, 12, year 1988 and month 1, year 1989. As shown in figures 7 and 8 for an about two-month periods, the wave heights were not recorded, but for the time period, the wave heights were simulated and are presented in figures 3 and 4. Figures 9, 10, 11 and 12 show the simulated peak period (Tm) versus time (sets of 3 hours registered data). On the above-mentioned figures, the limitation criteria are shown by full block lines and also the non-operational days are presented. It is to be mentioned that the recorded and simulated wave periods were moderately different. This is mainly due to the swell effect that has not been considered in Bretschneider formula and as a result of the numerical simulation. 5
  • 6. Wave Characteristics and Downtimes of Offshore Structures 8.0 Hmax (Simulated) 7.0 Maximum Wave Height (m) 6.0 Non Operational Days = 7 5.0 N. Op. D. = 1 N. Op. D. = 1 N. Op. D. = 1 N. Op. D. = 1 4.0 N. Op. D. = 1 N. Op. D. = 1 3.0 Limit Line as per Criteria 2.0 1.0 0.0 1 41 81 121 161 201 241 281 321 361 401 441 481 521 561 601 641 681 Time (Number of Registration 3 hours period) Figure 2. Simulated maximum wave height for months 2, 3 and 4, year 1989. 8.0 Hmax (Simulated) 7.0 Maximum Wave Height (m) 6.0 Non Operational Days = 12 5.0 N. Op. D. = 1 N. Op. D. = 9 N. Op. D. = 3 4.0 N. Op. D. = 1 3.0 Limit Line (Criteria) 2.0 1.0 0.0 1 41 81 121 161 201 241 281 321 361 401 441 481 521 561 601 641 681 721 Time (Number of Registration 3 hours period) Figure 3. Simulated maximum wave height for months 5, 6 and 7, year 1989. 6
  • 7. K. Sadeghi, GAU J. Soc. & Appl. Sci., 3(5), 1-12, 2007 8.0 Hmax (Simulated) 7.0 Maximum Wave Height (m) 6.0 N. Op. D. = 7 Non Operational Days = 12 5.0 N. Op. D. = 1 N. Op. D. = 2 4.0 N. Op. D. = 1 N. Op. D. = 1 N. Op. D. = 1 3.0 Limit Line as per Criteria 2.0 1.0 0.0 1 41 81 121 161 201 241 281 321 361 401 441 481 521 561 601 641 681 721 761 Time (Number of Registration 3 hours period) Figure 4. Simulated maximum wave height for months 8, 9, 10 and 11, year 1989. 8.0 Hmax (Recorded) 7.0 Non Operational Days = 13 Maximum Wave Height (m) 6.0 5.0 N. Op. D. = 2 N. Op. D. = 8 4.0 3.0 Limit Line as per Criteria 2.0 1.0 0.0 1 41 81 121 161 201 241 281 321 361 401 441 481 Time (Number of Registration 3 hours period) Figure 5. Recorded maximum wave height for months 11, 12, year 1988 and month 1, year 1989 7
  • 8. Wave Characteristics and Downtimes of Offshore Structures 8.0 Hmax (Recorded) 7.0 Maximum Wave Height (m) 6.0 Non Operational Days = 6 5.0 N. Op. D. = 1 N. Op. D. = 1 N. Op. D. = 1 4.0 N. Op. D. = 1 N. Op. D. = 4 N. Op. D. = 1 3.0 Limit Line as per Criteria 2.0 1.0 0.0 1 41 81 121 161 201 241 281 321 361 401 441 481 521 561 601 641 681 Time (Number of Registration 3 hours period) Figure 6. Recorded maximum wave height for months 2, 3 and 4, year 1989. 8.0 Hmax (Recorded) 7.0 Maximum Wave Height (m) 6.0 5.0 Not Recorded N. Op. D. = 1 4.0 Non Operational Days = 3 3.0 Limit Line as per Criteria 2.0 1.0 0.0 1 41 81 121 161 201 241 281 321 361 401 441 481 521 561 601 641 Time (Number of Registration 3 hours period) Figure 7. Recorded maximum wave height for months 5, 6 and 7, year 1989. 8 681 721
  • 9. K. Sadeghi, GAU J. Soc. & Appl. Sci., 3(5), 1-12, 2007 8.0 Hmax (Recorded) 7.0 N. Op. D. = 1 Maximum Wave Height (m) 6.0 N. Op. D. = 3 Non Operational Days = 11 5.0 N. Op. D. = 4 N. Op. D. = 1 4.0 N. Op. D. = 5 3.0 Limit Line (Criteria) 2.0 1.0 0.0 1 41 81 121 161 201 241 281 321 361 401 441 481 521 561 601 641 681 721 761 Time (Number of Registration 3 hours period) Figure 8. Recorded maximum wave height for months 8, 9, 10 and 11, year 1989. 15 14 Tm (Simulated) 13 12 11 Peak Period (s) 10 9 Limit Line as per Criteria 8 7 6 5 4 3 2 1 0 1 41 81 121 161 201 241 281 321 361 401 441 481 Time (Number of Registration 3 hours period) Figure 9. Simulated peak period for months 11, 12, year 1988 and month 1, year 1989. 9
  • 10. Wave Characteristics and Downtimes of Offshore Structures 15 14 Tm (Simulated) 13 12 11 Peak Period (s) 10 9 Limit Line as per Criteria 8 7 6 5 4 3 2 1 0 1 41 81 121 161 201 241 281 321 361 401 441 481 521 561 601 641 681 Time (Number of Registration 3 hours period) Figure 10. Simulated peak period for months 2, 3 and 4, year 1989. 15 14 Tm (Simulated) 13 12 11 Peak Period (s) 10 9 Limit Line as per Criteria 8 7 6 5 4 3 2 1 0 1 41 81 121 161 201 241 281 321 361 401 441 481 521 Time (Number of Registration 3 hours period) Figure 11. Simulated peak period for months 5, 6 and 7, year 1989. 10 561 601 641 681 721
  • 11. K. Sadeghi, GAU J. Soc. & Appl. Sci., 3(5), 1-12, 2007 15 14 Tm (Simulated) 13 12 11 Peak Period (s) 10 9 Limit Line as per Criteria 8 7 6 5 4 3 2 1 0 1 41 81 121 161 201 241 281 321 361 401 441 481 521 561 601 641 681 721 761 Time (Number of Registration 3 hours period) Figure 12. Simulated peak period for months 8, 9, 10 and 11, year 1989. Conclusion Due to the limitation of the existing recorded data (only one year available data for a certain point near the shoreline), this simulation can be considered only as a guide for evaluation of situations and can be used only for preliminary estimations. Considering the operational constraints (Hmax = 2 m, Tm = 8 s and gust velocity = 20 Knots) used for numerical simulation, an installation operation of 250 days per year is possible. The maximum waiting time for restarting the installation operation is estimated to last 17 days. As only the seas are simulated and due to lack of data and information for swell, it can be in general concluded that the installation operation is possible for 2/3 of the year and the maximum waiting time for this operation is about 2/3 of months. References Bhattacharyya R, 1972. Dynamics of marine vehicles. Cold Bay Study [CBS], 1999. Section IV (Climatology). 11
  • 12. Wave Characteristics and Downtimes of Offshore Structures DNV Classification Notes, 2000. Environmental conditions and environmental loads, No. 30.5, March 2000. KEPCO Engineering Department, 2001. "Work Report on data obtained from Khazar oceanography buoy and related CD electronic file", winter of 2001. Kosarev AN, Yablonskaya EA, 1994. The Caspian Sea, translated from Russia by Winstin AK, published by SPB Academic Publishing, The Hague. Sadeghi K, 1989. Design and analysis of marine structures. Published by Khajeh Nasirroddin Toosi University of Technology, Tehran, Iran, 1989, 456 pp. Sadeghi K, 2001. Coasts, ports and offshore structures engineering. Published by Power and Water University of Technology, Tehran, Iran, 501 pp [ISBN: 96493442-0-9] Sadeghi K, 2004. An analytical approach to predict downtime in Caspian Sea for installation operations. 6th International Conference on Ports, Coasts and Marine Structures (ICOPMAS 2004), Tehran, Iran, Dec. 2004. U.S. Army Coastal Engineering Research Center, 1980. Shore protection manual, Vol. 1 & 2, 4th edition. 12