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Multi-objective Planning for Ice Road Routes on Alaska's North Slope: Algorithms and Technology Development

机译：阿拉斯加北坡冰路路线的多目标规划：算法和技术开发

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The North Slope Decision Support System (NSDSS) is currently under development as a technology in support of oil and gas exploration and development that explicitly considers optimal water use, direct and cumulative environmental impacts, and multiple objectives and values among stakeholders. Major modules of the DSS include information systems, natural system models, and planning and management functions. Development of the DSS is a collaborative effort of academic and industry personnel with significant stakeholder involvement from multiple agencies of local, state, and federal government, private energy companies, and non-governmental organizations.Ice roads and ice pads provide a cost-effective means of oil and gas exploration with minimal impact to the sensitive underlying tundra. Consequently, these ice structures have become integral to oil and gas exploration activities on the North Slope. Their widespread use represents a challenge to water resource managers, however, due to the large volume of water required to construct and maintain them. Crucial questions on water balance and ecosystem impact must be considered in the state regulatory process that permits construction of these ice structures.NSDSS includes multi-objective planning routines for ice road routes. Pareto-optimal route alternatives are determined for cost, travel time, completion date, and other objectives. Spatial search domains are built using geographic information system (GIS) layers for a range of variables including water availability, vegetation and wildlife sensitivity, and topography, among others. Ant Colony System (ACS) optimization is utilized with novel algorithms for graph pre-and post-processing to improve solution efficiency. Output from the planning routines allows decision makers to understand tradeoff relationships among objectives.The current form of the ice road planning (IRP) algorithm will be extended to include water balance analysis to understand likely long-term impacts on regional water resources and possible adaptation measures.
机译：目前正在开发北坡决策支持系统（NSDSS），以作为支持油气勘探和开发的技术，该技术明确考虑了最佳用水，直接和累积的环境影响以及利益相关者之间的多重目标和价值。 DSS的主要模块包括信息系统，自然系统模型以及计划和管理功能。 DSS的开发是学术和行业人员的共同努力，利益相关者的大量参与来自地方，州和联邦政府，私营能源公司和非政府组织的多个机构。 冰道和冰垫提供了一种经济有效的石油和天然气勘探手段，对敏感的冻土带的影响最小。因此，这些冰结构已成为北坡油气勘探活动不可或缺的一部分。它们的广泛使用对水资源管理者构成了挑战，但是由于建造和维护它们需要大量的水。在允许建造这些冰结构的州监管程序中，必须考虑有关水平衡和生态系统影响的关键问题。 NSDSS包括冰路路线的多目标计划程序。确定帕累托最优路线的替代方案，以考虑成本，旅行时间，完工日期和其他目标。使用地理信息系统（GIS）层构建空间搜索域，以获取一系列变量，包括水的可利用性，植被和野生动植物的敏感性以及地形等。蚁群系统（ACS）优化与新颖的算法一起用于图形的预处理和后处理，以提高求解效率。计划例程的输出使决策者能够了解目标之间的权衡关系。 冰道规划（IRP）算法的当前形式将扩展为包括水平衡分析，以了解对区域水资源的可能的长期影响以及可能的适应措施。

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