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Using a 3D stochastic geomodel to determine optimal infill potential of a mature gas field: a case history

机译:使用3D随机地理模型确定成熟气田的最佳填充潜力:案例历史

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Discontinuous fluvial sands with highly variable permeabilty patterns pose a significant challenge for further development of mature onshore gas fields in South Australia. To obtain an optimial strategy for further infill drilling a multi-disciplinary reservoir characterization study was undertaken. This study combined all available data (petrophysics, geology, geophysics, and engineering) into a 3D stochastic geo-model before various upscaling methods could be considered for creating a reservoir simulation model. Coarse upscaling methods were used to match macro-scale reservoir characteristics (e.g. the effective permeability in the well's drainage area) while smaller scale heterogeneity (RFT pressure measurements) were matched using permeability predictors that preserved the observed variability from core data.
机译:渗透性模式变化很大的不连续河流砂对南澳大利亚成熟陆上气田的进一步开发提出了重大挑战。为了获得进一步填充钻探的最佳策略,进行了多学科储层表征研究。这项研究将所有可用数据(岩石物理学,地质学,地球物理学和工程学)组合到3D随机地理模型中,然后才考虑采用各种放大方法来创建储层模拟模型。粗略的放大方法用于匹配宏观尺度的储层特征(例如井排水区域的有效渗透率),而较小尺度的非均质性(RFT压力测量)则使用渗透率预测因子进行匹配,这些预测因子保留了岩心数据中观察到的变化性。

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