Journal of Ocean Research

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Effect of Mooring Lines Pattern in a Semi-submersible Platform at Surge and Sway Movements

1Department of Marine Science and Technology, Science and Research Branch, Islamic Azad University, Tehran, Iran

2Department of Ocean Engineering, Amirkabir University of Technology, Tehran, Iran

3Department of Ocean Engineering, Khalij-e Fars University, Bushehr, Iran

Journal of Ocean Research. 2014, 2(1), 17-22
doi: 10.12691/jor-2-1-4
Copyright © 2014 Science and Education Publishing

Cite this paper:
Hadi Sabziyan, Hassan Ghassemi, Farhood Azarsina, Saeid Kazemi. Effect of Mooring Lines Pattern in a Semi-submersible Platform at Surge and Sway Movements. Journal of Ocean Research. 2014; 2(1):17-22. doi: 10.12691/jor-2-1-4.

Correspondence to: Hassan  Ghassemi, Department of Ocean Engineering, Amirkabir University of Technology, Tehran, Iran. Email:


Exposure to environmental conditions at sea for floating structures is inevitable. Environmental conditions that waves are most important of them will enter forces on structure of semi-submersible platforms. Therefore such structures should be deployed in the operational capability of their own, that one of these methods is mooring them. In this condition, structure shows different behavior compared with unmoored structure. Wave force cause motions of structure and subsequently produce tension force on mooring lines. Hence, investigation of structure movements and selection an appropriate mooring system to minimizing the structure motions must have been discussed. semi-submersible platforms mooring systems results restoring force in horizontal plane, and thus control degree of freedom on Surge, Sway and Yaw movements. This study estimated Surge and Sway movements of a semi-submersible platform when that it has been exposed to 0, 45 and 90 degrees of sea wave direction with the environmental conditions of the Caspian Sea using Flow-3d (version10.0.1) software. Also the seven symmetric mooring systems in the form of 4 and 8 numbers of mooring lines’ systems have been used to investigate the best modes.



[1]  Barltrop, N. D. P., “Floating Structures: a guide for design and analysis”, Volume one, Oilfield Publications Limited (OPL), Ledbury, England, 2003.
[2]  Morch, M., and Moan, T., 1985 “Comparison between measured and calculated behavior of a moored semi-submersible platform”, Developments in Marine Technology, 2: 175-186.
[3]  Fylling I.J. & Lie H., 1986, “Mooring System Design Aspects of Environmental Loading and Mooring Systems Optimization Potential”, International Conference on Offshore Mechanics and Arctic Engineering, USA.
[4]  Ferrari J.A. & Morooka C.K., 1994, “Optimization and Automation of the Semi-Submersible Platforms Mooring Design”, International Conference on Offshore Mechanics and Arctic Engineering, Houston, Texas.
[5]  Soylemez, M., 1995, Motion tests of a twin-hulled semisubmersible. Bulletin of the Technical University of Istanbul, 48 (2): 227-240.
Show More References
[6]  Wu, S., 1997, the motions and internal forces of a moored semisubmersible in regular waves. Ocean Engineering, 24 (7): 593-603.
[7]  Chen, X. H., 1997. Motion and mooring line loads of a moored semi-submersible in waves. Proceedings of the International Conference on Offshore Mechanics and Arctic Engineering–OMAE, 235-241.
[8]  Maffra S., Pacheo C. & Menezez M., 2003, “Genetic Algorithm Optimization for Mooring System”, Rio de Janeiro, Brazil.
[9]  Jordan M.A., Beltran-Aguedo R., 2004, “Nonlinear Identification of Mooring Lines in Dynamic Operation of Floating Structures”, Journal of Ocean Engineering 31, pages 455-482.
[10]  Garrett D.L., 2005, “Coupled Analysis of Floating Production Systems”, Journal of Ocean Engineering 32, pages 802–816.
[11]  Davies P., Baron P., Salomon K., Bideaud C., Labbe J.P., Toumit S., Francois M., Grosjean F., Bunsell T. & Moysan A.G., 2008, “Influence of Fiber Stiffness on Deepwater Mooring Line Response”, 27th International Conference on Offshore Mechanics and Arctic Engineering, OMAE 2008-57147, Estoril, Portugal.
[12]  Stansberg C.T., 2008, “Current Effects ON a Moored Floating Platform in a Sea State”, 27th International Conference on Offshore Mechanics and Arctic Engineering, OMAE 2008-57621, Estoril, Portugal.
[13]  Huilong R., Jian Z., Guoqing F., Hui L. & Chenfeng L., 2009, “Influence of Nonlinear Mooring Stiffness on Hydrodynamic Performance of Floating Bodies”, OMAE 2009-79697.
[14]  Waals O.J., 2009, “The Effect of Wave Directionality on Low Frequency Motions and Mooring Forces”, 28th International Conference on Offshore Mechanics and Arctic Engineering, OMAE 2009-79412, Honolulu, Hawaii, USA.
[15]  Ma G., Sun L. & Wang H., 2009, 28th International Conference on Offshore Mechanics and Arctic Engineering, OMAE 2009-79320, Honolulu, Hawaii, USA.
[16]  Lassen T., Storvoll E. & Bech A., “Fatigue Life Predictio drilling ship n of Mooring Chains Subjected to Tension and out of Plane Bending”, 2009, 28th International Conference on Offshore Mechanics and Arctic Engineering, OMAE 2009-79253, Honolulu, Hawaii, USA
[17]  Su-xia Z., You-gang T. & Hai-xiao L., 2009, “Study on Snap Tension in Mooring Lines of Deepwater Platform”, 28th International Conference on Offshore Mechanics and Arctic Engineering, OMAE 2009-79881, Honolulu, Hawaii, USA.
[18]  Zhu, h. and Ou, Jinping. (2011) Dynamic Performance of a Semi-Submersible Platform Subject to Wind and Waves, Journal of Ocean Univ, China, vol. 10, No. 2, p. 127-134.
[19]  Daghigh M., Paein Loulaei R.T. & Seif M.S., 2002, “Mooring System Design and Analysis for the Flooding Bridge of Urmia Lake”, 12th International Conference on Offshore Mechanics and Arctic Engineering, Oslo, Norway.
[20]  Mazaheri S. & Mesbahi E., 2003, “Sea Keeping Analysis of a Turret-Moored FPSO by Using Artificial Neural Networks”, 22nd International Conference on Offshore Mechanics and Arctic Engineering, OMAE 2003-37148, Cuncun, Mexico.
[21]  Mazaheri S. & Incesik A., 2004, “Predicting the Maximum Mooring Force of a Moored Floating Offshore Structure”, 23rd International Conference on Offshore Mechanics and Arctic Engineering OMAE 2004-51245, Vancouver, British Columbia, Canada.
[22]  Rezvani A. & Shafieefar M., 2007, “Mooring Optimization of Floating Platforms Using a Genetic Algorithm”, Ocean Engineering 34, pages 1413-1421.
[23]  API Recommended Practice ٢ P (RP٢ nP), Analysis of Spread Morring Systems for Floating Drilling Units, Second Edition, DC 20005.
Show Less References


Predictability of the Electrical Conductivity of In situ Sea Water as a Function of Its pH

1Department of Metallurgical and Materials Engineering, Nnamdi Azikiwe University, Awka, Nigeria

2Department of Environmental Technology, Federal University of Technology, Owerri, Nigeria

3Department of Metallurgical and Materials Engineering, Enugu State University of Science & Technology, Enugu, Nigeria

4Department of Industrial Physics Ebonyi State University, Abakiliki, Nigeria

Journal of Ocean Research. 2014, 2(2), 23-27
doi: 10.12691/jor-2-2-1
Copyright © 2014 Science and Education Publishing

Cite this paper:
C. I. Nwoye, I. E. Nwosu, S. O. Nwakpa, J. U. Odo, S. E. Ede, N. E. Idenyi. Predictability of the Electrical Conductivity of In situ Sea Water as a Function of Its pH. Journal of Ocean Research. 2014; 2(2):23-27. doi: 10.12691/jor-2-2-1.

Correspondence to: C.  I. Nwoye, Department of Metallurgical and Materials Engineering, Nnamdi Azikiwe University, Awka, Nigeria. Email:


The paper presents an empirical analysis which predicts the electrical conductivity of in situ sea water as function of its pH. Response coefficient of the sea water electrical conductivity ζ to the influence of its pH ϑ was evaluated to ascertain the reliability of the highlighted dependence. A univariate model was derived, validated and used for the predictive evaluation of the in situ sea water electrical conductivity. The validity of the model; ζ=exp[ϑ0.963] was rooted on the core model expression lnζ = ϑ0.963 where both sides of the expression are correspondingly approximately equal. Standard errors incurred in predicting the sea water electrical conductivity for each value of the sea water pH considered as obtained from experiment, derived model and regression model-predicted results were 0.5233, 1.2127 and 0.0027% respectively. Furthermore the correlation between sea water electrical conductivity and its pH as obtained from experiment, derived model and regression model were all > 0.9. The maximum deviation of the model-predicted sea water electrical conductivity (from experimental results) was less than 18%. This translated into over 82% operational confidence for the derived model as well as over 0.82 response coefficients for the dependence of in situ sea water electrical conductivity on its pH.



[1]  Wetzel, R. G. (2011). Limnology: Lake And River Ecosystem, 3rd ed. Academic press ISBN: 978-0-12-744760-5.
[2]  Dickson, A. G. (1991). pH Buffers for Sea Water Media Based on the Total Hydrogen Ion Concentration Scale. Deep – Sea Research.
[3]  Grasshoff, K. (1983). Determination of pH. In: Methods of Seawater Analysis, K. Grasshoff and K. Kremling, editors, Verlag- Chemie, pp. 85-97.
[4]  Byrne, R. H. (2011). Device for In Situ Calibrated Potentiometric pH Measurement US Patent, Publication no. US 8071031 B1.
[5]  Clayton, T. D and Byrne, R. H. (1993).Spectrophotometric Seawater pH Determination.
Show More References
[6]  UNESCO (1981).The Practical Salinity Scale 1978 and the International Equation of State of Sea water 1980. UNESCO Technical Paper Marine Science, Vol. 36.
[7]  UNESCO (1981). Background papers and supporting Data on the Practical salinilty Scale 1978. UNESCO Technical Paper Marine Science, Vol. 37.
[8]  Leif, T. Physical Characteristics of the Ocean EESS 146B/246B…
[9]  Benneth, D. F. (1964).Measuring and Recording the Electrical Conductivity of Sea Water as a Function of Depth. US Patent Publication No. 3147431A.
[10]  Nwoye, C. I. (2008). C-NIKBRAN Data Analytical Memory (Software).
Show Less References


The Importance of Marine Genomics to Life

1Department of Marine Sciences, University of Lagos, Lagos, Nigeria

2Department of Environmental Planning, Brandenburg University of Technology, Cottbus-Senftenberg, Germany

Journal of Ocean Research. 2015, 3(1), 1-13
doi: 10.12691/jor-3-1-1
Copyright © 2015 Science and Education Publishing

Cite this paper:
Popoola Raimot Titilade, Elegbede Isa Olalekan. The Importance of Marine Genomics to Life. Journal of Ocean Research. 2015; 3(1):1-13. doi: 10.12691/jor-3-1-1.

Correspondence to: Popoola  Raimot Titilade, Department of Marine Sciences, University of Lagos, Lagos, Nigeria. Email:


Genomics is a field of study that is rapidly transforming many areas of biological and biomedical research which has enabled the transition from sequential studies of single genes to more ecological approach, involving the simultaneous study of many components and their interactions with the environment from pathways, through cell tissues to whole organisms and communities. Genomics application areas include clinical diagnostics, agro biotechnology, environmental biotechnology and pharmacogenomics. The focus of most genome research is on the nuclear genome, though mitochondrial genomes have been extremely useful for the identification of fish species and populations. Marine microbial assemblages are diverse and unique and the challenge is to discover what functions are played by these microorganisms. To provide adequate tools for marine biologists, therefore, one important aim will be to develop genomic approaches, such as whole genome sequencing and functional genomics, for key species across the evolutionary tree of marine organisms. Genomics is a highly dynamic research field. Hence, rapid developments in genomics can afford new opportunities for applications in marine environment, particularly in the areas of Fish genome resources conservation and genetic enhancement.



[1]  Aardema, M. and MacGregor, J. (2002). Toxicology and genetic toxicology in the new era of ‘‘toxicogenomics’’: impact of ‘‘-omics’’ technologies. Mut. Res. 499: 13-25.
[2]  Alberts, B., Johnson, A., Lewis, J., Raff, M., Roberts, K. and Walter, P. (2008). Molecular biology of the cell garland. Science. 64: 69-114.
[3]  Beja, O., Aravind, l., Koonin, E. V., Suzuki, M. T., Hadd, A., Nguyen, l. P. and Jovanovich, S. B. (2000). Bacterial rhodopsin: evidence for a new type of phototrophy in the sea. Science. 289: 1902-1906.
[4]  Chandonia, J. M. and Brenner, S. E. (2006). "The impact of structural genomics: expectations and outcomes". Science. 311 (5759): 347-351.
[5]  Colin, S., Deniaud, E., Jam, M., Descamps, V., Chevolot, Y., Kervarec, N., Yvin, J. C., Barbeyron, T., Michel, G. and Kloareg, B. (2006). Cloning and biochemical characterization of the fucanase FcnA: definition of a novel glycoside hydrolase family specific for sulfated fucans. Glycobiology. 16: 1021-1032.
Show More References
[6]  Davidson, E. H. (2010). Emerging properties of animal gene regulatory networks. Nature. 468: 911-920.
[7]  Davis, R. H. (2004). The age of model organisms. Nat. Rev. Genet. 5: 69-76.
[8]  DeLong, E. F., Preston, C. M., Mincer, T., Rich, V., Hallam, S. J., Frigaard, N-U., Martinez, A., Sullivan, M. B., Edwards, R., Brito, B. R., Chisholm, S. W. and Karl, D. M. (2006). Community genomics among stratified microbial assemblages in the ocean’s interior. Science. 311: 496-503.
[9]  F. A. O. (2006). State of World Aquaculture: FAO Fisheries Department. Rome. 24pp.
[10]  Farr, S. and Dunn, R. T. (1999). Gene expression applied to toxicology. Toxicol. Sci. 50: 1-9.
[11]  Flament, D., Barbeyron, T., Jam, M., Potin, P., Czjzek, M., Kloareg, B. and Michel, G. (2007). Alpha-agarases define a new family of glycoside hydrolases, distinct from beta-agarase families. Appl. Environ. Microbiol. 73: 4691-4694.
[12]  Frias-Lopez, J., Shi, Y., Tyson, G. W., Coleman, M. L. and Schuster, S. C. (2008). Microbial community gene expression in ocean surface waters. Proc. Natl. Acad. Sci. 105: 3805-3810.
[13]  Gibson, G. and Muse, S. V. (2007). A primer of genome science (3rd Ed.). Sunderland, MA: Sinauer Associates, 122pp.
[14]  Gilbert, J. A., Field, D., Huang, Y., Edwards, R., Li, W., Gilna, P. and Joint, I. (2008). Detection of large numbers of novel sequences in the metatranscriptomes of complex marine microbial communities. PLoS ONE. 3(8): 3042.
[15]  Glöckner, F. O., Kube, M., Bauer, M., Teeling, H., Lombardot, T. and Ludwig, W. (2003). Complete genome sequence of the marine planctomycete Pirellula sp. strain 1. Proc. Natl. Acad. Sci. 100: 8298-8303.
[16]  Gracey, A. Y. and Cossins, A. R. (2003). Application of microarray technology in environmental and comparative physiology. Annu. Rev. Physiol. 65: 231-258.
[17]  Gupta, P. K. (2008). Single-molecule DNA sequencing technologies for future genomics research. Trends Biotechnol. 26: 602-611.
[18]  Hall, N. (2007). Advanced sequencing technologies and their wider impact in microbiology. J. Exp. Biol. 210: 1518-1525.
[19]  Hollywood, K., Brison, D. R. and Goodacre, R. (2006). Metabolomics: current technologies and future trends. Proteomics 6: 4716-4723.
[20]  Johnson, D. E. and Wolfgang, H. I. (2000). Predicting human safety: screening and computational approaches. Drug Discov. Today. 5: 445-454.
[21]  Joshua, L. and Alexa, T. Mc. (2001). "'Ome Sweet 'Omics--A genealogical treasury of words". The Scientist. 15: p7.
[22]  Joyce, A. R. and Palsson, B. Ø. (2006). The model organism as a system integrating ‘omics’ data sets. Nature Rev. Mol. Cell. Biol. 7: 98-210.
[23]  Kasper, P., Oliver, G., Silva-Lima, B., Singer, T. and Tweats, D. (2005). Joint EFPIA/CHMP SWP workshop: the emerging use of omic technologies for regulatory non-clinical safety testing. Pharmacogenomics. 6: 181-184.
[24]  Leu, J. H., Chang, C. C., Wu, J. L., Hsu, C. W., Hirono, I., Aoki, T., Juan, H. F., Lo, C. F., Kou, G. H. and Huang, H. C. (2007). Comparative analysis of differentially expressed genes in normal and white spot syndrome virus infected penaeus monodon. BMC Genomics. 8: 120-133.
[25]  Leu, J. H., Chen, S. H., Wang, Y. B., Chen, Y. C., Su, S. Y., Lin, C. Y., Ho, J. M. and Lo, C. F. (2010). A review of the major penaeid shrimp EST studies and the construction of a shrimp transcriptome database based on the ESTs from four penaeid shrimp. 65pp.
[26]  Lighner, D. V. and Redman, R. M. (1998): Shrimp disease and current diagnostic methods. Aquaculture. 164: 201-220.
[27]  Lord, P. G. (2004). Progress in applying genomics in drug development. Toxicol. Lett. 149: 371-375.
[28]  Lucien-Brun, H. (1997). Evolution of world shrimp production. Fisheries and Aquaculture. World Aquaculture. 28: 21-33.
[29]  MacGregor, J. T. (2003). The future of regulatory toxicology: impact of the biotechnology revolution. Mutat. Res. 75: 236-248.
[30]  MacGregor, J. T., Farr, S., Tucker, J. D., Heddle, J. A., Tice, R. R. and Turteltaub, K. W. (1995). New molecular endpoints and methods for routine toxicity testing. Fundam. Appl. Toxicol. 26: 156-173.
[31]  Margulies, M., Egholm, M., Altman, W. E. and Attiya, S. (2005). Genome sequencing in microfabricated high-density picolitre reactors. Nature. 437: 376-380.
[32]  Markert, S., Arndt, C. and Felbeck, H. (2007). Physiological proteomics of the uncultured endosymbiont of Riftia pachyptila. Science. 315: 247-250.
[33]  McKusick VA, Ruddle FH (1987) A new discipline, a new name, a new journal. Genomics. 1: 1-2.
[34]  Metzker, M. L. (2010). Sequencing technologies-the next generation. Nat. Rev. Genet. 11: 31-46.
[35]  Meyer, F. (2006). Genome Sequencing vs. Moore's Law: Cyber challenges for the next decade. CTWatch Quarterly. 2: 14-17.
[36]  Michel, G., Helbert, W., Kahn, R., Dideberg, O. and Kloareg, B. (2003). The structural bases of the processive degradation of iota-carrageenan, a main cell wall polysaccharide of red algae. J. Mol. Biol. 334: 421-433.
[37]  N. A. S. (2007). The new science of metagenomics: revealing the secrets of our microbial planet. ISBN: 0-309-10677-X 170pp.
[38]  Nuwaysir, E. F., Bittner, M., Trent, J., Barrett, J. C. and Afshari, C. A. (1999). Microarrays and toxicology: the advent of toxicogenomics. Mol. Carcinogenesis. 24: 153-159.
[39]  Peterson, R. L., Casciotti, L., Block, L., Goad, M. E., Tong, Z., Meehan, J. T., Jordan, R. A., Vinlove, M. P., Markiewicz, V. R., Weed, C. A. and Dorner, A. J. (2004). Mechanistic toxicogenomic analysis of WAY-144122 administration in Sprague-Dawley rats. Toxicol. Appl. Pharmacol. 196: 80-94.
[40]  Petricoin, E. F., Hackett, J. L., Lesko, L. J., Puri, R. K., Gutman, S. I., Chumakov, K., Woodcock, J., Feigal, D. W., Zoon, K. C. and Sistare, F. D. (2002). Medical applications of microarray technologies: a regulatory science perspective. Nat. Genet., 32: 474-479.
[41]  Pevsner, J. (2009). Bioinformatics and functional genomics (2nd Ed.). Hoboken, NJ, 7: Wiley-Blackwell, 15pp.
[42]  Rappé, M. S., Connon, S. A., Vergin, K. L. and Giovannoni, S. J. (2002). Cultivation of the ubiquitous SAR11 marine bacterioplankton clade. Nature. 418: 630-633.
[43]  Ray, G. C. (1988). Ecological diversity in coastal zones and oceans. In E. O. Wilson, ed. Biodiversity. Washington, D.C.: National Academy Press, 36-50.
[44]  Rodi, C. P., Bunch, R. T., Curtiss, S. W., Kier, L. D., Cabonce, M. A., Davila, J. C., Mitchell, M. D., Alden, C. L. and Morris, D. L. (1990). Revolution through genomics in investigative and discovery toxicology. Toxicol. Pathol. 27: 107-110.
[45]  Rogers, Y. H. and Venter, J. C. (2005). Genomics: massively parallel sequencing. Nature. 437: 326-327.
[46]  Schena, M., Heller, R. A. Theriault, T. P., Konrad, K., Lachenmeier, E., and Davis, R. W. (1998). Microarrays: biotechnology’s discovery platform for functional genomics. Trends Biotechnol. 16: 301-306.
[47]  Schweder, T., Markert, S. and Hecker, M. (2008). Proteomics of marine bacteria. Electrophoresis. 29: 2603-2616.
[48]  Shendure, J., and Ji, H. (2008). Next-generation DNA sequencing. Nat. Biotechnol. 26: 1135-1145.
[49]  Sogin, M. L., Morrison, H. G., Huber, J. A., Welch, D. M., Huse, S. M., Neal, P. R., Arrieta, J. M. and Herndl, G. J. (2006). Microbial diversity in the deep sea and the underexplored ‘rare biosphere’. Proc. Natl. Acad. Sci. USA 103: 12115-12120.
[50]  Supungul, P., Klinbunga, S., Pichyangkura, R., Jitrapakdee, S., Hirono, I., Aoki, T. and Tassanakajon, A. (2002): Identification of immune-related genes in hemocytes of black tiger shrimp (Penaeus monodon). Mar Biotechnol. 4: 487-494.
[51]  Szalay, A., and Gray, J. (2006). 2020 Computing: Science in an exponential world. Nature. 440: 413-414.
[52]  Ten Bosch, J. R. and Grody, W. W. (2008). Keeping up with the next generation: massively parallel sequencing in clinical diagnostics. J. Mol. Diagn. 10: 484-492.
[53]  Thomas, M.A. and Klaper, R. (2004). Genomics for the ecological toolbox. Trends Ecol. Evol. 19: 439-445.
[54]  Ulrich, R. and Friend, S. H. (2002). Toxicogenomics and drug discovery: will new technologies help us produce better drugs? Nat. Rev. Drug Discov. 1: 84-88.
[55]  Van Straalen, N. M. and Roelofs, D. (2006). An introduction to ecological genomics. Oxford University Press, Oxford. Pp85.
[56]  Venter, J. C., K. Remington, J. F. Heidelberg, A. L. Halpern, D. Rusch, J. A. Eisen, D. W. U. (2004). Environmental genome shotgun sequencing of the Sargasso Sea”. Science. 304: 66-74.
[57]  Wilkening, J., Wilke, A. N. D. and Folker, M. (2009). Using Clouds for Metagenomics: A Case Study. In: Proceedings IEEE Clouds. 12-19.
[58]  Worm,W., Barbier, E. B. and Beaumont, N. (2006). Impacts of biodiversity loss on ocean ecosystem services. Science 314: 787-790.
[59]  Yooseph, S., Sutton, G., Rusch, D. B., Halpern, A. L., Williamson, S. J. and Remington, K. (2007). The Sorcerer II Global Ocean Sampling expedition: expanding the universe of protein families. PLoS. Biol. 5: 16pp.
[60]  Zengler, K., Toledo, G., Rappé, M. S., Mathur, E. J., Short, J. M. and Keller, M. (2002). Cultivating the uncultured. Proc. Natl. Acad. Sci. U. S. A. 99: 15681-15686.
Show Less References