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Economic analysis of hydrocarbon exploration by simulation with geological uncertainties.

机译:具有地质不确定性的模拟对油气勘探的经济分析。

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摘要

This research continues the work of Chungcharoen (1994) to extend the benefit of Manly's Approximation Method in the area of hydrocarbon discovery process modeling, to incorporate the uncertainties in geologic parameters in order to provide an assessment of the distributions of total hydrocarbon discoveries that are expected to be recovered as a result of exploration activity, and to combine economic parameters into the evaluation of the economic worth of the results of multiple-wells exploration activity. This research is separated into two parts. In the first part, the uncertainties involved in the geological parameters are included in the initial field size distribution and the number of fields distribution. The Monte Carlo approach is used to sample data from the field size distribution with each number of fields selected from the number of fields distribution. A frequency-size distribution is constructed based on sampled data. Dry hole data are also added into the initial frequency-size distribution in order to reflect the exploration risk. After obtaining frequency-size distributions that define the uncertainties in geological parameters, the distributions of total hydrocarbon discoveries for a selected number of exploratory wells are constructed. The second part involves incorporating economic parameters, such as the price of oil/gas, and the costs of exploration, development, and production, into the distribution of the number of discoveries and the distribution of total hydrocarbon discoveries in order to produce a probability distribution of the net present value (NPV) of a proposed exploration program. The distributions of NPV are used as input to the expected utility analyses for determining multiple-wells exploration strategies. The offshore Nova Scotia Shelf basin is selected for implementing the methodology. Several scenarios regarding changes in economic parameters are illustrated. The effect of increasing variability in field size in a basin on the forecast is also discussed.; This methodology could be used by a company as a part of a planning system for projecting exploration programs. It would provide insight into how a company makes a forecast of future discovery volumes that includes uncertainties in geological parameters and how the results are used in long-term planning to determine future development programs for these hydrocarbon reserves. In addition, results from this methodology could assist government departments by supporting their efforts to establish the potential of hydrocarbons discoveries and to aid in their analyses of policies concerning exploration programs regarding taxes and royalty regimes in any basin with various stages of exploration activity.
机译:这项研究延续了Chungcharoen(1994)的工作,以将曼利近似方法的优势扩展到油气发现过程建模领域,将不确定性纳入地质参数中,以便对预计的总油气发现分布进行评估。由于勘探活动而被回收,并将经济参数结合到多井勘探活动结果的经济价值评估中。这项研究分为两个部分。在第一部分中,地质参数所涉及的不确定性包括在初始油田规模分布和油田数量分布中。蒙特卡洛方法用于从字段大小分布中采样数据,并从字段数分布中选择每个字段数。基于采样数据构建频率大小分布。干孔数据也被添加到初始频率大小分布中,以反映勘探风险。在获得确定地质参数不确定性的频率大小分布之后,就构造了选定数量的探井的总油气发现分布。第二部分涉及将经济参数(例如,石油/天然气的价格以及勘探,开发和生产的成本)纳入发现数量的分布和总碳氢化合物发现的分布,以产生概率分布拟议勘探计划的净现值(NPV)的百分比。 NPV的分布用作预期效用分析的输入,以确定多井勘探策略。选择海上新斯科舍省陆架盆地来实施该方法。说明了有关经济参数变化的几种情况。还讨论了盆地中田间规模变化的增加对预测的影响。公司可以将此方法用作计划系统的一部分,以计划勘探计划。它将提供有关公司如何对包括地质参数不确定性在内的未来发现量进行预测的见识,以及如何将结果用于长期计划中以确定这些油气藏的未来开发计划。此外,这种方法的结果可以通过支持政府部门建立碳氢化合物发现潜力的努力,并协助他们分析与勘探活动有关的任何盆地的税收和特许权使用费的勘探计划的政策,从而为政府部门提供帮助。

著录项

  • 作者

    Chungcharoen, Ekachidd.;

  • 作者单位

    University of Waterloo (Canada).;

  • 授予单位 University of Waterloo (Canada).;
  • 学科 Operations Research.; Engineering Petroleum.
  • 学位 Ph.D.
  • 年度 1997
  • 页码 251 p.
  • 总页数 251
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 运筹学 ; 石油、天然气工业 ;
  • 关键词

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