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Characterization of deeply buried heterolithic tidal reservoirs in the Smorbukk Field using inverted post-stack seismic acoustic impedance

机译:利用倒置叠后地震声阻抗表征Smorbukk油田深埋的异质岩潮汐油藏

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Deeply buried reservoirs in Smorbukk Field play an important role in oil production from the Halten Terrace hydrocarbon province(Mid-Norwegian shelf).These heterolithic reservoir sandstones are sedimentary systems for which estimation of reservoir properties is challenging.The main problem is to derive realistic models of the lateral changes of porosities and permeabilities in the inter-well space.There is a very significant upside potential in producible reserves if infill production wells can be placed and completed in an optimal position with respect to reservoir quality.In this paper reservoir characterization work,based on good quality seismic data,has been performed in order to predict porosity,net:gross ratio and permeability both qualitatively and quantitatively supported by reliable geological models.Essentially,Acoustic Impedance(AI)is correlated to porosity and inverted seismic data have been used to predict reservoir properties.Two different porosity modelling methods in the Tilje Formation are used:(1)by means of simple regression;(2)using geostatistical methods.Lateral changes in porosity follow a pattern that is sedimentologically plausible.A geostatistical workflow resulted in porosity maps that take into account both lack of vertical resolution in seismic data and poor lateral resolution in well data.This is considered to be the most optimal method for predicting geologically acceptable reservoir properties,because uncertainties in porosity modelling are measured.Porosity maps were used to update the reservoir simulation model and adjust targets for infill wells in the Smorbukk Field.Results were tested in two wells drilled after utilizing the seismic AI and showed an excellent match.
机译:Smorbukk油田的深层储层在哈尔特梯田碳氢化合物省(中挪威陆架)的石油生产中起着重要作用,这些多片储层砂岩是沉积系统,对其储层性质的估算具有挑战性,主要问题是要推导现实模型。井间空间的孔隙度和渗透率的侧向变化的影响。如果可以将填充生产井放置在相对于油藏质量的最佳位置并完井,那么可开采储量就有很大的上升潜力。基于可靠的地质模型,以高质量的地震数据为基础,以定性和定量地预测孔隙度,净比,渗透率和渗透率。从本质上讲,声阻抗与孔隙度相关,反演地震数据已经得到用来预测储层性质。 e Tilje地层的使用:(1)通过简单的回归;(2)使用地统计学方法。孔隙度的横向变化遵循沉积学上合理的模式。地统计学工作流产生的孔隙度图考虑了缺乏垂直分辨率由于测量了孔隙度模型中的不确定性,这被认为是预测地质上可接受的储层性质的最佳方法。孔隙度图用于更新储层模拟模型并调整填充目标利用地震AI在两个钻井中对结果进行了测试,结果显示非常匹配。

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