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S-WAVE VELOCITY ESTIMATION AND RESERVOIR TYPE IDENTIFICATION BASED ON PARTIALLY CONNECTED POROSITY MODEL OF CARBONATE RESERVOIR

机译:基于碳酸盐岩储层部分连通孔隙度模型的S波速度估计与储层类型识别

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摘要

With the deepening of global oil and gas exploration and development, theexploration direction has gradually shifted from conventional oil and gas reservoirs tospecial oil and gas reservoirs, such as carbonate reservoirs and tight reservoirs, whichoften have very complex pore structures. The partially connected pore model is anequivalent medium model to describe the multi pore structure. The model divides thepores into an isolated pore system dominated by micropores and a connected pore systemdominated by macropores, which has achieved good results in the application of tight gasbearing sandstone. But when the model is applied in carbonate reservoirs, due to a hugeamount of model parameters and complex mineral composition of carbonate rocks, theeffect of direct application of the model is non-ideal. In this paper, through the steps ofenvironmental correction, optimization log interpretation, sensitivity analysis of modelparameters and determination of key parameters, a petrophysical modeling processsuitable for carbonate reservoirs is established, and the S-wave velocity of two differentreservoir space types of the Dengying Formation in Central Sichuan paleo-uplift ispredicted, and considerable results are obtained. In addition, the soft pore scale factorinversed in the modeling process has indicative significance for the identification anddivision of reservoir space types.
机译:随着全球油气勘探开发的深入,勘探方向逐渐从常规油气藏转向特殊油气藏,如碳酸盐岩储层、致密储层等,这些储层往往具有非常复杂的孔隙结构。部分连通孔隙模型是描述多孔结构的等效介质模型。该模型将孔隙划分为以微孔为主的孤立孔隙体系和以大孔隙为主的连通孔隙体系,在致密含气砂岩应用中取得了良好的效果。但当该模型应用于碳酸盐岩储层时,由于模型参数量巨大,碳酸盐岩矿物成分复杂,直接应用模型的效果并不理想。本文通过环境修正、优化测井解释、模型参数敏感性分析、关键参数确定等步骤,建立了适合碳酸盐岩储层的岩石物理建模流程,对川中古隆起灯影组两种不同储集层空间类型的S波速度进行了预测,取得了可观的成果。此外,建模过程中反演的软孔径尺度因子对储层空间类型的识别和划分具有指示意义。

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