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Consistent Integration of Drill-Stem Test Data into Reservoir Models on a Giant Field Offshore Norway

机译:钻杆测试数据将钻杆测试数据一致集成到挪威巨型野外底线的水库模型中

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When considering the task of creating reservoir models for fields under development, dynamic data measurements often have limited impact compared with static (geophysical and geological) data. This is not necessarily true for the Johan Sverdrup field offshore Norway, where exceptional reservoir properties make the data from eight drill-stem tests (DSTs) particularly interesting. For this reason, it is important to utilize the information found in the collected static and dynamic data in a consistent manner, to improve the understanding of the reservoir. This is especially true for the Avaldsnes High area, located in the southeastern part of the Johan Sverdrup field, where the observed thickness is below the seismic resolution, and the DST data from four wells indicate permeabilities in the range of 20 to 80 Darcy, with an overlapping radius of investigation. In this paper, we apply an ensemble-based approach to generate a large set of reservoir models for the Avaldsnes High area of the Johan Sverdrup field, all of which are plausible given the current observed static and dynamic data. We consider multiple modelling scenarios, introducing uncertainty in the sand thickness, facies (rock type) description and the permeability modelling. Unlike conventional pressure transient analysis (PTA), where we analyze the DSTs separately, and the non-uniqueness in the data interpretation is hard to address and quantify, this is not the case with the ensemble-based approach. Since we conduct the static and dynamic data conditioning simultaneously, we can consistently address possible ambiguities in interpreted permeabilities, thicknesses and flow barriers seen in the conventional PTA analysis. The study reveals that by conditioning the generated models to dynamic data we introduce clear spatial trends in both the sand thickness and permeability. In particular, we greatly reduce the potential downside with respect to the sand thickness in the Avaldsnes High area.
机译:在考虑在开发的领域创建储层模型的任务时,与静态(地球物理和地质和地质)数据相比,动态数据测量通常会产生有限的影响。这对于挪威的Johan Sverdrup领域不一定是真的,其中包括八个钻杆测试(DSTS)的八大水库属性特别有趣。因此,重要的是利用收集的静态和动态数据中的信息以一致的方式,以改善对储层的理解。这对于位于约翰斯维田的东南部的Avaldsnes高区域尤其如此,其中观察到的厚度低于地震分辨率,来自四个井的DST数据表明在20至80达西范围内的渗透率,有重叠的调查半径。在本文中,我们应用了基于集合的方法,为Johan Sverdrup字段的Avaldsnes高区域产生了一大集的储层模型,所有这些都是合理的,因为当前观察到的静态和动态数据。我们考虑多种建模情景,在砂厚度,相面(岩型)描述和渗透性建模中引入不确定性。与传统的压力瞬态分析(PTA)不同,我们分别分析DST,并且数据解释中的非唯一性难以解决和量化,基于集合的方法并非如此。由于我们同时进行静态和动态的数据调节,我们可以持续地处理可能的歧义在解释渗透率,厚度和流动在常规PTA分析可见的障碍。该研究表明,通过将所产生的模型调节到动态数据,我们在砂厚度和渗透率中引入清晰的空间趋势。特别是,我们大大减少了抗身高区域中的砂厚度的潜在下行。

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