Linkov Igor, Trump Benjamin, Jin David, Mazurczak Marcin, Schreurs Miranda
US Army Engineer Research and Development Center, 696 Virginia Rd, Concord, MA 01742 USA.
US Army Engineer Research and Development Center, 696 Virginia Rd, Concord, MA 01742 USA ; Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139 USA.
Environ Sci Eur. 2014;26(1):20. doi: 10.1186/s12302-014-0020-7. Epub 2014 Aug 2.
The development of horizontal drilling and hydraulic fracturing methods has dramatically increased the potential for the extraction of previously unrecoverable natural gas. Nonetheless, the potential risks and hazards associated with such technologies are not without controversy and are compounded by frequently changing information and an uncertain landscape of international politics and laws. Where each nation has its own energy policies and laws, predicting how a state with natural gas reserves that require hydraulic fracturing will regulate the industry is of paramount importance for potential developers and extractors. We present a method for predicting hydraulic fracturing decisions using multiple-criteria decision analysis. The case study evaluates the decisions of five hypothetical countries with differing political, social, environmental, and economic priorities, choosing among four policy alternatives: open hydraulic fracturing, limited hydraulic fracturing, completely banned hydraulic fracturing, and a cap and trade program.
The result is a model that identifies the preferred policy alternative for each archetypal country and demonstrates the sensitivity the decision to particular metrics. Armed with such information, observers can predict each country's likely decisions related to natural gas exploration as more data become available or political situations change.
Decision analysis provides a method to manage uncertainty and address forecasting concerns where rich and objective data may be lacking. For the case of hydraulic fracturing, the various political pressures and extreme uncertainty regarding the technology's risks and benefits serve as a prime platform to demonstrate how decision analysis can be used to predict future behaviors.
水平钻井和水力压裂方法的发展极大地增加了开采以前无法开采的天然气的潜力。尽管如此,与这些技术相关的潜在风险和危害并非没有争议,而且由于信息频繁变化以及国际政治和法律格局的不确定性而更加复杂。每个国家都有自己的能源政策和法律,对于潜在的开发商和开采商来说,预测一个拥有需要水力压裂的天然气储量的国家将如何监管该行业至关重要。我们提出了一种使用多标准决策分析来预测水力压裂决策的方法。该案例研究评估了五个具有不同政治、社会、环境和经济优先事项的假设国家的决策,在四种政策选择中进行选择:开放水力压裂、有限水力压裂、完全禁止水力压裂以及总量控制与交易计划。
结果是一个模型,该模型确定了每个原型国家的首选政策选择,并展示了决策对特定指标的敏感性。有了这些信息,随着更多数据的获取或政治局势的变化,观察家们可以预测每个国家与天然气勘探相关的可能决策。
决策分析提供了一种管理不确定性并解决在缺乏丰富和客观数据时的预测问题的方法。对于水力压裂的情况,关于该技术风险和收益的各种政治压力和极端不确定性是展示如何使用决策分析来预测未来行为的主要平台。