利用地层测试仪测量评估泥浆-滤层侵入深度和水饱和度:应用于深侵致密气砂岩

M. Bennis, Tarek S. Mohamed, C. Torres‐Verdín, G. Merletti, Camilo Gelvez
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引用次数: 0

摘要

地层压力/流体测量受到泥浆滤液侵入的影响,这可能需要较长的泵送时间才能获得泥浆滤液污染最小的碳氢化合物样本。然而,与其他测井仪器不同,地层测试器没有固定的调查深度,这限制了它们在获取原始地层流体(即感知未侵入层)之前泵出泥浆滤液的能力。我们使用内部的岩石物理和流体流动模拟器对泥浆滤液侵入进行数值模拟、测井和地层测试测量,以估计侵入的径向距离和相应的含水饱和度径向剖面。通过建立多层岩石物理模型,初步进行了数值模拟。对页岩体积浓度、孔隙度、含水饱和度、不可还原含水饱和度和残余烃饱和度的初步猜测均来自常规岩石物理解释。流体流动相关的岩石物理性质(渗透率、毛管压力和相对渗透率)、泥浆性质、岩石矿物成分和原位流体性质都是通过实验室测量获得的。数值模拟了泥滤液侵入过程及相应的电阻率和核测井曲线,迭代拟合现有测井曲线,逐层估算地层含水饱和度。接下来,使用我们的多相地层测试模拟器,我们数值模拟了使用双封隔器地层测试器进行的实际流体取样操作。最后,我们通过最小化数值模拟与地层测试测量的油气突破时间之间的差异来估计不可还原水饱和度。该砂岩储层具有低孔隙度(0.14)、中低渗透率(40 md)和高残余气饱和度(0.4 ~ 0.5)的特点。深层泥浆滤液侵入是由于长时间暴露在高盐度水基泥浆中过平衡(侵入17天,超平衡压力为1800 psi),再加上致密砂岩的泥浆滤液储存能力较低。因此,未侵入地层的位置远远超出了电阻率工具的探测深度,因此深感电阻率低于未侵入地层的电阻率。通过对泥浆滤液侵入的数值模拟、测井和地层测试测量,我们估算了井周含水饱和度的径向和垂向分布。同样,我们量化了油气突破时间,与现场测量的6.5小时相匹配。估算侵侵半径约为2.5 m,未侵侵带含水饱和度估算值与深感电阻率测井含水饱和度估算值差约为0.13,提高了对原生气藏的估算水平。
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Assessment of Depth of Mud-Filtrate Invasion and Water Saturation Using Formation-Tester Measurements: Application to Deeply Invaded Tight-Gas Sandstones
Formation pressure/fluid measurements are impacted by mud-filtrate invasion, which may require long fluid pumpout durations to acquire hydrocarbon samples with minimal mud-filtrate contamination. However, unlike other well-logging instruments, formation testers do not have a fixed depth of investigation that limits their ability to pump out mud filtrate until acquiring original formation fluids (i.e., sensing the uninvaded zone). We use an in-house petrophysical and fluid-flow simulator to perform numerical simulations of mud-filtrate invasion, well logs, and formation-tester measurements to estimate the radial distance of invasion and the corresponding radial profile of water saturation. Numerical simulations are initialized with the construction of a multilayer petrophysical model. Initial guesses of volumetric concentration of shale, porosity, water saturation, irreducible water saturation, and residual hydrocarbon saturation are obtained from conventional petrophysical interpretation. Fluid-flow-dependent petrophysical properties (permeability, capillary pressure, and relative permeability), mud properties, rock mineral composition, and in-situ fluid properties are obtained from laboratory measurements. The process of mud-filtrate invasion and the corresponding resistivity and nuclear logs are numerically simulated to iteratively match the available well logs and estimate layer-by-layer formation water saturation. Next, using our multiphase formation testing simulator, we numerically simulate actual fluid sampling operations performed with a dual-packer formation tester. Finally, we estimate irreducible water saturation by minimizing the difference between the hydrocarbon breakthrough time numerically simulated and measured with formation-tester measurements. The examined sandstone reservoir is characterized by low porosity (up to 0.14), low-to-medium permeability (up to 40 md), and high residual gas saturation (between 0.4 and 0.5). The deep mud-filtrate invasion resulted from extended overbalanced exposure to high-salinity water-based mud (17 days of invasion and 1,800 psi overbalance pressure) coupled with the low mud-filtrate storage capacity of tight sandstones. Therefore, the uninvaded formation is located far beyond the depth of investigation of resistivity tools, whereby deep-sensing resistivities are lower than those of uninvaded formation resistivity. Through the numerical simulation of mud-filtrate invasion, well logs, and formation-tester measurements, we estimated radial and vertical distributions of water saturation around the borehole. Likewise, we quantified the hydrocarbon breakthrough time, which matched field measurements of 6.5 hours. The estimated radius of invasion was approximately 2.5 m, while the difference between estimated water saturation in the uninvaded zone and water saturation estimated from the deep-sensing resistivity log was approximately 0.13, therefore improving the estimation of the original gas in place.
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