Adaptive Forecasting of Natural Gas Resources, Production, Infrastructure, and Prices

L. Virine
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Abstract

An oil and natural gas producer should continuously analyze industry fundamentals such as supply, demand, storage, transportation, and pricing to make informed operational and business decisions. An oil and gas producer should be able to adapt to frequently changing industry environment by adjusting its operation: increasing or curtailing production, drilling and connecting new wells, obtaining new financing, locking in future natural gas prices, etc. In order to provide an input to the decision-making process, the adaptive management methodology needs to be applied. Forecasts of hydrocarbon resources, production, infrastructure, and pricing are very sensitive to technological improvements, pricing changes, new discoveries, and other major events, the impacts of which are difficult to predict. One method to improve the quality of a forecast is to apply adaptive management process. The adaptive management methodology implies assuming supply and demand strategy, creating multiple scenarios for allocating oil or gas demand to different areas or regions, evaluating these scenarios, and performing detailed forecast for selected scenarios. One important step of adaptive management is monitoring of actual drilling and production activities. Based on this information original assumptions can be updated. The result of the analysis is production, prices, and infrastructure forecast. The paper presents an example of a production forecast that is generated using adaptive management process.
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天然气资源、生产、基础设施和价格的自适应预测
石油和天然气生产商应该持续分析行业基本面,如供应、需求、储存、运输和定价,以做出明智的运营和商业决策。油气生产商应该能够通过调整操作来适应不断变化的行业环境:增产或减产、钻接新井、获得新融资、锁定未来天然气价格等。为了向决策过程提供输入,需要应用适应性管理方法。油气资源、产量、基础设施和价格的预测对技术进步、价格变化、新发现和其他重大事件非常敏感,这些事件的影响很难预测。提高预报质量的一种方法是应用自适应管理过程。适应性管理方法意味着假设供需策略,创建多个场景,将石油或天然气需求分配到不同的地区或地区,评估这些场景,并对选定的场景进行详细预测。适应性管理的一个重要步骤是监测实际的钻井和生产活动。基于这些信息,可以对原始假设进行更新。分析的结果是产量、价格和基础设施预测。本文给出了一个应用自适应管理过程生成生产预测的实例。
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