Quick-Look Water Saturation Estimate with Density-Neutron Logs in Unknown or Mixed Salinity Environments: Case Studies in Middle East Oil-Bearing Carbonate Reservoirs

Chanh Cao Minh, Vikas Jain, D. Maggs, K. Gzara
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Abstract

We have shown previously that while total porosity is the weighted sum of density and neutron porosities, hydrocarbon volume is the weighted difference of the two. Thus, their ratio yields hydrocarbon, or equivalently, water saturation (Sw). In LWD environments where negligible invasion takes place while drilling, we investigate whether Sw derived from LWD density-neutron logs could approach true Sw in unknown or mixed water salinity environments. In such environments, it is well known that Sw determined from standalone resistivity or capture sigma logs is uncertain due to large water resistivity (Rw) or capture sigma (Σw) changes with salinity. On the other hand, the water density (ρw) and hydrogen index (HIw) variations with salinity are much less (Table 1). Hence, the water point on the density neutron crossplot does not move with salinity as much as the water point on a sigma-porosity crossplot does. Similarly, the water point on a resistivity-porosity Pickett plot would move drastically with changes in Rw. Also, because the hydrocarbon effect on density-neutron logs is much less in oil than in gas, the weights in the density-neutron porosities can be conveniently set at midpoint in light oil-bearing reservoirs without compromising porosity and saturation results. Thus, a quicklook estimate of Sw from density-neutron logs is the normalized ratio of the difference over the sum of density and neutron porosities. The normalization factor is a function of the hydrocarbon density. We also build a graphical Sw overlay for petrophysical insights. We tested the LWD density-neutron derived Sw in two Middle East carbonate oil wells that have mixed salinity. The two wells were extensively studied in the past. In the first well, the reference Sw is given by the joint-inversion of resistivity-sigma logs, corroborated with Sw estimated from multi-measurements time-lapsed analysis, and validated with water analysis on water samples taken by formation testers. In the second well, comprehensive wireline measurements targeting mixed salinity such as dielectric and 3D NMR were acquired to derive Sw, and complemented by formation tester sampling, core measurements, and LWD resistivity-sigma Sw. In both wells, density-neutron quicklook Sw agrees surprisingly well with Sw from other techniques. It may lack the accuracy and precision and the continuous salinity output but is sufficient to pinpoint both flooded zones and bypassed oil zones. Since density-neutron is part of triple-combo data that are first available in well data acquisition, it is recommended to go beyond porosity application and compute water saturation (Sw) in unknown or mixed salinity environments. The computation is straightforward and can be useful to complement other established techniques for quick evaluation in unknown or mixed water salinity environments.
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在未知或混合盐度环境下用密度-中子测井快速估计含水饱和度:以中东含油碳酸盐岩油藏为例
我们之前已经表明,总孔隙度是密度孔隙度和中子孔隙度的加权和,而烃体积是两者的加权差。因此,它们的比值产生碳氢化合物,或等价的含水饱和度(Sw)。在钻井过程中侵入可以忽略不计的随钻测井环境中,我们研究了由随钻密度-中子测井得到的Sw是否可以在未知或混合水盐度环境中接近真实Sw。在这样的环境中,众所周知,由于水电阻率(Rw)或捕获σ (Σw)随盐度的变化,通过独立电阻率或捕获σ测井确定的Sw是不确定的。另一方面,水密度(ρw)和氢指数(HIw)随盐度的变化要小得多(表1)。因此,密度中子交叉图上的水点不像sigma-孔隙度交叉图上的水点那样随盐度而移动。同样,电阻率-孔隙率Pickett图上的水点也会随着Rw的变化而剧烈移动。此外,由于油气对密度-中子测井曲线的影响远小于天然气,因此在轻质含油油藏中,密度-中子孔隙度的权重可以方便地设置在中点,而不会影响孔隙度和饱和度的结果。因此,从密度-中子测井中对Sw的快速估计是密度和中子孔隙率之和之差的归一化比率。归一化因子是烃密度的函数。我们还建立了一个图形Sw覆盖层,以获得岩石物理信息。我们在中东的两口混合矿化度碳酸盐岩油井中测试了随钻密度-中子衍生Sw。过去对这两口井进行了广泛的研究。在第一口井中,通过对电阻率- σ测井曲线的联合反演得到了参考Sw,并与多次测量延时分析估计的Sw进行了验证,并通过地层测试人员采集的水样进行了水分析。在第二口井中,通过对混合矿化度(如介电和3D核磁共振)的综合电缆测量,获得了Sw,并辅以地层测试取样、岩心测量和随钻电阻率(sigma Sw)。在这两口井中,密度中子快速测井软件与其他技术的软件惊人地吻合。它可能缺乏准确性和精度以及连续的盐度输出,但足以确定淹没层和绕过的油层。由于密度-中子是三重组合数据的一部分,首先在井数据采集中可用,因此建议超越孔隙度应用,计算未知或混合盐度环境下的含水饱和度(Sw)。该方法计算简单,可用于补充其他已建立的技术,以便在未知或混合水盐度环境中进行快速评估。
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