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A Methodology for the Refinement of Well Locations During Operational Drilling in Presence of Geological Uncertainty

机译:在地质不确定性存在下运行钻井期间改进井位置的方法

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In this paper we present a methodology of automated optimal (in terms of NPV maximization) greenfield development strategy construction that takes into account geological uncertainties of the reservoir. The algorithm is based on ensemble of hydrodynamic models and uses the theory of probabilistic graphical models. The proposed methodology allows making dynamic (in the process of field development) decisions about well grid pattern change on the basis of information obtained from the studies on the oil reservoir carried out with the help of the appraisal wells: appraisal boreholes of the development wells and pre-drilling wells (drilling from current pad to the next one for refining geological targets). The decision of the wells pattern option change does not require any additional calculations. The proposed methodology was applied for creating optimal development strategy for one of the new assets (on production stage) of JSC "Gazprom neft". The reservoir development is complicated by the set of uncertain parameters related to the complex heterogeneous structure of the collector. The parameters have very high influence on the optimal decision choice. As result expected NPV is increased by 15%.
机译:在本文中,我们提出了一种自动化最佳(在NPV最大化方面)的绿地开发战略建设的方法,以考虑水库的地质不确定性。该算法基于流体动力学模型的集合,并使用概率图形模型理论。所提出的方法允许在诸如评估井的帮助下进行的石油储层研究中获得的信息,使得关于良好网格模式的决策进行动态(在现场开发过程中)决定:显影井的鉴定井的评估井预钻孔井(从电流焊盘钻到下一个用于精炼地质目标)。井模式选项变更的决定不需要任何额外的计算。拟议的方法是为JSC“Gazprom Neft”的新资产(关于生产阶段)的一个新资产(关于生产阶段)创造最佳发展战略。储层发育与与收集器的复杂异质结构相关的不确定参数组成。参数对最佳决策选择具有很高的影响。由于结果预期NPV增加了15%。

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