MOORA VE TOPSIS YÖNTEMLERİ KULLANILARAK KUZEY HAZAR DENİZİNDE KULLANILACAK ÇOK AMAÇLI RÖMORKÖR SEÇİMİ YAPILMASI

Year 2019, Volume: 15 Issue: 1, 21 - 38, 30.04.2019

Serkan Karakaş Mehmet Kırmızı

Abstract

Dünya enerji ihtiyacının önemli bir bölümü açık deniz
petrol ve gaz sahalarından temin edilmektedir. Kuzey Hazar Denizinde yer alan
Kashagan petrol sahası bilinen en büyük rezervlerden birine sahip olup,
denizcilik operasyonları bölgedeki petrol üretimi ile ilgili faaliyetlerin
devamlılığı açısından büyük öneme sahiptir. Nitekim, bölgenin coğrafik özellikleri
genel olarak bölgede denizcilik ile ilgili faaliyetlerin yapılmasını zorlaştırmaktadır.
Kashagan projesi kapsamında bölgede farklı tipte deniz taşıtları ve ekipmanları
kullanılmaktadır ve bunlar içerisinde en çok yaygın olarak kullanılanlardan bir
tanesi Çok Amaçlı Römorkör / Demir Zinciri Elleçyebilen Römorkör (AHT)’dir. Görevin
gereklilikleri dikkate alındığında AHT seçiminde bölgenin coğrafi özellikleri
de (özellikle düşük su derinliği) yöneticiler tarafından dikkate alınmalıdır.
Bu çalışmada MOORA (oran yöntemi ve referans nokta yaklaşımı) ve TOPSIS yöntemleri
kullanılarak Kuzey Hazar Denizinde kullanılacak optimum AHT seçimi yapılacak,
ve üç yöntem arasındaki uyum Kendall’ın uyum katsayısı (Kendall’s W) ile test
edilecektir. 

Keywords

Açık Deniz Petrol ve Gaz Endüstrisi, Açık Deniz Destek Gemileri, MOORA, TOPSIS, Kendall'ın Uyum Katsayısı

MULTI-PURPOSE TUGBOAT/AHT SELECTION FOR NORTHERN CASPIAN SEA WITH TOPSIS AND MOORA METHODS

Abstract

A large
part of the world energy requirement is provided from offshore oil and gas
fields. The Kashagan site in the Northern Caspian Sea
has one of the largest known reserves and marine operations are important for
the continuation of activities regarding oil and gas production in area.
However, the geographical features of the region make the maritime-related
activities difficult. There are different types of marine equipment in
operation within the scope of the Kashagan project and one of the most widely
used vessel is Multi-Purpose Tugboat / AHT (Anchor Handling Tug). As far as the
requirements of the task are concerned, the geographic challenges of the region
(especially low water depth) should be taken into consideration when selecting
the AHT by the management. In this study, the optimum AHT vessel will be
selected to operate in the North Caspian Sea by utilizing MOORA (Ratio and
Reference Point approaches) and TOPSIS methods and the concordonce among three
methods will be tested by Kendall’s Coefficient of Concordonce (Kendall’s W). 

Keywords

Offshore Oil and Gas Industry, MOORA, TOPSIS, Kendall’s Coefficient of Concordonce (W), Offshore Supply Vessels

References

• [1] Rui, Z., Li, C., Peng, F., Ling, K., Chen, G., Zhou, X., and Chang, H. (2017). Development of industry performance metrics for offshore oil and gas project. Journal of Natural Gas Science and Engineering, 39, 44-53.
• [2] NCOC (2016). Sustainability Report 2016. Retrieved February 10, 2019, from https://www.ncoc.kz/Documents/Sustainability_report_ 2016_en.pdf.
• [3] Javaid, U., & Rashid, A. (2015). Oil and Gas Potentials of Central Asian Republics and Relations with Pakistan. A Research Journal of South Asian Studies, 30 (1), 127-148.
• [4] Karande, P., & Chakraborty, S. (2012). Application of multi-objective optimization on the basis of ratio analysis (MOORA) method for materials selection. Materials and Design, 37, 317-324.
• [5] Saurbayev, I., Reedy, J., Bukharbayeva, A., Hatiboglu, C. & Massingill, A. (2018, November). Challenges and Value of Interference Testing During Early Production of Kashagan Field. Paper presented at the 2018 Symposium on SPE Annual Caspian Technical Conference and Exhibition. Abstract retrieved February 9, 2019, from https://www.onepetro.org/conference-paper/SPE-192536-MS.
• [6] Shiganova, T. A., Kamakin, A.M., Zhukova, O. P., Ushivtsev, V. B., Dulimov, A. B., & Musaeva, E. I. (2001). The Invader into the Caspian Sea Ctenophore Mnemiopsis and Its Initial Effect on the Pelagic Ecosystem. Oceanology, 41 (4), 542-549.
• [7] Aladin, N., & Plotnikov I. (2004). The Caspian Sea. Retrieved February 10, 2019, from www.vliz.be/imisdocs/publications/ 133415.pdf
• [8] Tsoraev, S. (2018). Master's Thesis in Offshore Technology. University of Stavanger. Faculty of Science and Technology, Stavanger. Retrieved from https://brage.bibsys.no/xmlui/bitstream/ handle/11250/2562596/Thesis_Tsoraev.pdf?sequence=1&isAllowed=y
• [9] NCOC (2017). Sustainability Report 2017. Retrieved February 9, 2019, from https://www.ncoc.kz/Documents/sustainability%202017 en.pdf.
• [10] Olaniran, O. J., Love, P. E. D., Edwards, D. J., Olatunji, O. & Matthews, J. (2015). Chaotic Dynamics of Cost Overruns in Oil and Gas Megaprojects: A Review. International Journal of Civil and Environmental Engineering, 9(7), 911-917.
• [11] Johnston, D., & Johnston, D. (2001). Kashagan and Tengiz - Castor and Pollux. Retrieved February 10, 2019, from http://www.danieljohnston.com/pdf/kashagan_and_tengiz.pdf
• [12] ENKA (2019). Kashagan oil field development. Retrieved February 7, 2019, from https://www.enka.com/portfolio-item/kashagan-oil-field-development/
• [13] Albertini, C., Bado, L., Calabrese, M., Francesconi, A., Leoni, G., & Tarantini, V. (2013, June 12-13). Kashagan Field Approaching Production Start-Up: Insight Into Reservoir Characteristics. Paper presented at the 2013 Symposium on EAGE Annual Conference. Abstract retrieved February 8, 2019, from https://www.onepetro.org/conference-paper/SPE-164831-MS
• [14] ACCESS (2013). D4.31 - Report on rescue and evacuation systems. Retrieved February 11, 2019, from www.access-eu.org/modules/resources/download/access/.../D4-31-IMPaC_Revised.pdf
• [15] MarineInsight (2017). What are Offshore Vessels? Retrieved February 11, 2019, from https://www.marineinsight.com/types-of-ships/what-are-offshore-vessels/
• [16] Skoko, I., Jurčević, M., & Božić, D. (2013). Logistics Aspect of Offshore Support Vessels on the West Africa Market. Transportation Economy Review, 25(6), 587- 593.
• [17] Kaiser, M. J. (2017). The global offshore pipeline construction service market 2017 – Part I. Ships and Offshore Structures, 13(1), 65-95.
• [18] Pardo, M. L., Couce, L. C., Castro-Santos, L., & Couce, J. C. C. (2017). A review of the drive options for offshore anchor handling winches. Brodogradnja/Shipbuilding, 68(3), 119-134.
• [19] Çakıroğlu, G., Şener, B., & Balın, A. (2018). Applying a fuzzy-ahp for the selection of a suitable tugboat based on propulsion system type. Brodogradnja/Shipbuilding, 69(4), 1-13.
• [20] Dalgic, Y., Dinwoodie, I., Lazakis, I., McMillan, D., Revie, M. (2014, September 14-15). Optimum CTV Fleet Selection for Offshore Wind Farm O&M Activities. Paper presented at the 2014 Symposium on ESREL. Abstract retrieved February 13, 2019, from https://strathprints.strath.ac.uk/49631/
• [21] Sperstad, I. B., Stålhane, M., Dinwoodie, I., Endrerud, O. V., Martin, R., & Warner E. (2017). Testing the robustness of optimal access vessel fleet selection for operation and maintenance of offshore wind farms. Ocean Engineering, 145, 334-343.
• [22] Yang, Z. L., Bonsall, S., & Wang, J. (2011). Approximate TOPSIS for vessel selection under uncertain environment. Expert Systems with Applications, vol. 38(12), 14523-14534.
• [23] Aas, B., Halskau, Ø., & Wallace, S. W. (2009). The role of supply vessels in offshore logistics. Maritime Economics & Logistics, 11(3), 302-325.
• [24] Brauers, W. K. M., & Zavadskas, E. K. (2006). The MOORA method and its application to privatization in a transition economy. Control and Cybernetics, vol. 35(2), 445-469.
• [25] Uğur, L. O. (2017). Construction project maneger selection with the MOORA optimisation method: A multi-objective optimization application. Journal of Polytechnic, 20(3), 717-723.
• [26] Görener, A. Dinçer, H. and Hacıoğlu, Ü. (2013). Application of Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) Method for Bank Branch Location Selection. International Journal of Finance & Banking Studies, 2(2), 41-52
• [27] H. E. Atmaca, H. E. & Özçelik, G. (2014, May 15). Supplier Selection Problem by the MOORA Method for the Procurement Process. Paper presented at the 2014 Symposium on III. Logistics and Supply Chain Congress. Abstract retrieved February 13, 2019, from https://www.researchgate.net/publication/269872293_Satin_ Alma_Sureci_Icin_Moora_Metodu_Ile_Tedarikci_Secimi_Problemi
• [28] Brauers, W. K. M., Ginevičius, R., & Podvezko, V. (2010). Regional development in Lithuania considering multiple objectives by the Moora method. Technological and Economic Development of Economy, 16(4), 613-640.
• [29] Brauers, W. K. M. & Ginevičius, R. (2009). Robustness in regional development studies: The case of Lithuania. Journal of Business Economics and Management, vol. 10(2), 121-140.
• [30] Hwang, C. L. & Yoon, K. (1981). Multiple Attribute Decision Making: Methods and Applications.
• [31] Karim, R. & Karmaker, C. L. (2016). Machine selection by AHP and TOPSIS methods. American Journal of Industrial Engineering, vol. 4(1), 7-13.
• [32] Liaudanskiene, R., Ustinovicius, L., & Bogdanovicius, A. (2009). Evaluation of construction process safety solutions using the TOPSIS method. Economics of Engineering Decisions, 4, 32-40.
• [33] Uzun, S. & Kazan, H. (2016). Comparing MCDM methods of AHP, TOPSIS and PROMETHEE: A study on the selection of ship main engine system. Journal of Transportation and Logistics, 1(1), 99-113.
• [34] Gökkaya, H., & Kellegöz, T. (2017). AHP, TOPSIS and Hungarian Algorithm based decision support model for staff appointment. Endüstri Mühendisliği Dergisi, 28(1), 2-18.
• [35] Sevgin, H. & Kundakcı, N. (2017). Ranking of European Union Member Countries and Turkey according to the economic indicators with TOPSIS and MOORA methods. Anadolu University Journal of Social Sciences, vol. 17(3), 87-108.
• [36] Şimşek, A., Çatır, O., Ömürbek, N. (2015). Vendor choice with TOPSIS and MOORA methods: A practice in tourism sector. Balıkesir Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 18(33), 133-161.
• [37] Gearhart, A, Booth, D.T., Sedivec, K., & Schauer, C. (2013). Use of Kendall’s coefficient of concordance to assess agreement among observers of very high resolution imagery. Geocarto International, 28(6), 517-526.
• [38] Nisel, S. & Nisel, R. (2013). Using VIKOR Methodology for Ranking Universities by Academic Performance. GSTF Journal of Mathematics, Statistics and Operations Research, vol. 2(1), 86-92.