Submarine pipelines routing planning based on GIS and dynamic programming

YanMing Gao; HaiHong Wang; Bo Wang; Lifen Yang; Zhen Shi

doi:10.1117/12.872672

3 November 2010 Submarine pipelines routing planning based on GIS and dynamic programming

YanMing Gao, HaiHong Wang, Bo Wang, Lifen Yang, Zhen Shi

Proceedings Volume 7840, Sixth International Symposium on Digital Earth: Models, Algorithms, and Virtual Reality; 78400P (2010) https://doi.org/10.1117/12.872672
Event: The Sixth International Symposium on Digital Earth, 2009, Beijing, China

Abstract

A novel submarine pipelines routing (SPR) planning method to find an optimal pipeline route automatically is proposed based on spatial analysis of geographical information system (GIS) and dynamic programming theory. By analyzing the effects of engineering geology conditions, ocean environmental conditions and ocean exploitation conditions around the submarine pipeline system, an analytical model is provided to plan the pipelines to improve the pipeline stabilities and reduce the costs. Dynamic programming is used to found the optimal routing with a performance index. The spatial database is designed and the GIS-aided submarine pipeline system is developed. An example is carried out to verify the method proposed.

Citation Download Citation

YanMing Gao, HaiHong Wang, Bo Wang, Lifen Yang, and Zhen Shi "Submarine pipelines routing planning based on GIS and dynamic programming", Proc. SPIE 7840, Sixth International Symposium on Digital Earth: Models, Algorithms, and Virtual Reality, 78400P (3 November 2010); https://doi.org/10.1117/12.872672

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available