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ANCHOR DEPLOYMENT PLANNING USING SIMULATED ANNEALING

机译:使用模拟退火进行锚定部署计划

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摘要

In this work a planning methodology for deep-water anchor deployment of anchor lines for offshore platforms and floating production systems aiming at operational resources optimization is explored, by minimizing a multi criteria objective function. A Simulated Annealing Algorithm was used to optimize the objective function. As an additional advantage, inherited from the proposed methodology, the planning automation is achieved. Planning automation overcomes the traditional way based on trial error exercise, where an engineer using an anchoring application, decides how much of work wire and anchoring line must be paid out from both the floating system and the supply boat and additionally which horizontal force must be applied to the line trying settle the anchor on a previously defined target in the ocean floor. Some cases, from anchor deployment of some MODUs operating in deep-water oil fields in Brazil, are shown demonstrating some potentialities of the proposed model.
机译:在这项工作中,通过最小化多标准目标函数,探索了针对近海平台和浮动生产系统的锚固线的深水锚固部署的规划方法,旨在优化运营资源。模拟退火算法被用来优化目标函数。从提议的方法继承而来的另一个优点是,实现了计划自动化。计划自动化克服了基于试错法的传统方法,在该方法中,使用锚定应用程序的工程师决定必须从浮动系统和补给船上支付多少工作线和锚定线,以及必须施加哪些水平力试图将锚定在海底先前定义的目标上的路线。从一些在巴西深水油田中运行的MODU的锚定部署中得出的案例表明,该模型具有一定的潜力。

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