首页> 外文会议>SPWLA annual logging symposium >A NEW METHOD TO EVALUATE RESERVOIR PORE STRUCTURECONSECUTIVELY USING NMR AND CAPILLARY PRESSURE DATA
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A NEW METHOD TO EVALUATE RESERVOIR PORE STRUCTURECONSECUTIVELY USING NMR AND CAPILLARY PRESSURE DATA

机译:利用NMR和毛细压力数据连续评价储层孔隙结构的新方法。

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It is very important to understand reservoir porestructure information in finding interested zones andformulating advisable recovery scheme. Capillarypressure data is critical material in evaluating reservoirpore structure, from which, pore size distribution andpore structure parameters can be acquired, and by which,the quality of reservoir pore structure can also beidentified.With the analysis of hundreds of capillary pressurecurves, it is found that they all have the same mercuryinjectionpressure, so the differences in shape and typeof capillary pressure curves are controlled by themercury-injection saturation. For capillary pressurecurves with better quality, the mercury-injectionsaturation is relative higher in the same mercuryinjectionpressure, and the reservoir porosity andpermeability are also higher, vice versa. Based on which,we develop a novel method to construct capillarypressure curves consecutively integrating reservoirporosity and permeability. Correlations among mercuryinjectionsaturation and porosity and permeability inevery mercury-injection pressure are established. Withthis correlation, the capillary pressure curves can beconstructed.Generally, capillary pressure curves are exhibited insemi-log coordinate, mercury-injection saturation islinear in X-axis and mercury-injection pressure islogarithm in Y-axis. If we display them in log-log axis,they will be hyperbolic curves. The ratio betweenmercury-injection saturation and mercury-injectionpressure in the inflexions of hyperbolic curves arenamed Swanson parameters, which have a goodrelationship with reservoir synthesized index, fromwhich, we can derive reservoir permeability.The problem of evaluating reservoir pore structureconsecutively is the limitation of quantity of capillarypressure data because of the expensive test cost. As isknown to all that NMR T_2 spectrum contains plenty ofinformation of pore structure, porosity and permeability,we present a model to extract Swanson parameter fromNMR T_2 distribution. With this parameter, we can gainreservoir permeability, associating with NMR totalporosity, the reservoir capillary pressure curves can beconstructed consecutively. Comparison with thecapillary pressure curves of mercury-injectionexperiment demonstrates that they are commensurate.At last, an in-situ example is exhibited of evaluatingreservoir pore structure using constructive capillarypressure curves consecutively by above method, whichshows that it is available and accurate in detecting thechange of reservoir pore structure as a function of depth.
机译:了解储层孔隙非常重要 寻找感兴趣区域的结构信息和 制定合理的恢复方案。毛细血管 压力数据是评估储层的关键材料 孔结构,从中,孔径分布和 可以获取孔结构参数,然后, 储层孔隙结构的质量也可以是 确定。 随着数百种毛细管压力的分析 曲线,发现它们都具有相同的汞注入 压力,所以形状和类型的差异 毛细管压力曲线由 汞注入饱和。毛细管压力 质量更好的曲线,注汞 在相同的汞注入条件下,饱和度相对较高 压力,储层孔隙度和 渗透性也更高,反之亦然。基于此, 我们开发了一种构造毛细管的新方法 压力曲线连续整合储层 孔隙率和渗透率。汞注入之间的相关性 饱和度,孔隙率和渗透率 确定每个注入汞的压力。和 这种相关性,毛细管压力曲线可以是 建造。 通常,毛细管压力曲线显示在 半对数坐标,注汞饱和度为 X轴呈线性,注汞压力为 Y轴上的对数。如果我们将它们显示在log-log轴上, 它们将是双曲线。两者之间的比例 汞注入饱和度和汞注入 双曲曲线的弯曲处的压力为 命名为Swanson参数,它具有很好的 与储层综合指数的关系,从 我们可以得出储层渗透率。 评价储层孔隙结构的问题 连续是毛细管数量的限制 压力数据,因为测试费用昂贵。照原样 众所周知,NMR T_2谱图包含很多 孔隙结构,孔隙率和渗透率的信息, 我们提出了一个模型来从中提取Swanson参数 NMR T_2分布。有了这个参数,我们可以获得 储层渗透率,与总NMR相关 孔隙度时,储层毛细管压力曲线可以 连续建造。与之比较 汞注入的毛细管压力曲线 实验证明它们是相称的。 最后,展示了一个现场评估的例子。 使用建设性毛细管的储层孔隙结构 通过上述方法连续产生压力曲线,其中 表明它可用于并且准确地检测到 储层孔隙结构随深度的变化。

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