西古尔纳油田有线测井资料测定横波速度的经验关联

Alameedy U
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摘要

自20世纪初以来,研究人员一直在利用声波传播来分析采矿和岩土工程中的岩石,研究动静弹性特性之间的联系。岩石材料的基本力学性质是岩石挖掘作业分析和设计所必需的,这是由它们的弹性特性(杨氏模量、剪切模量和泊松比)决定的。地质力学应用依赖于声学数据来创建一个安全的泥浆比重窗口,估算岩石强度参数、防砂管理和水力压裂。由于频率差和其他考虑因素,超声波实验室和声波测井读数经常不一致。通过对西库纳-1油田Mishrif地层横波速度和纵波速度的超声实验室测量数据与声波测井数据进行对比,更好地了解这些关键测量数据对动态模型计算精度的影响。利用纵波(Vp)和横波(VS)波速和密度数据计算孔隙度和弹性模量。我们观察到纵波速度与样品弹性特性之间的相关性。利用回归分析,将弹性系数与弹性特性进行关联,生成经验方程。速度数据与该地区的地质背景之间的相关性产生了对弹性特征的良好估计。结果表明,实验室所得的杨氏系数与实测测井数据吻合较好,R2值为0.86。在实验室数据中,Vp和VS的R2值为0.83,也得到了很好的匹配。
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Empirical Correlation for Determination of Shear Wave Velocities from Wireline Logs in West Qurna Oil Field
Using acoustic wave propagation to analyze rocks in mining and geotechnical engineering, researchers have been looking into the link between dynamic and static elastic properties since the early twentieth century. The essential mechanical qualities of rock materials that are necessary for the analysis and design of rock digging operations are determined by their elastic properties (Young's modulus, shear modulus, and Poisson's ratio). Geomechanical applications rely on acoustic data to create a safe mud weight window, estimate rock strength parameters, sand management, and hydraulic fracturing. Ultrasonic lab and sonic log readings are often inconsistent because of the frequency differential and other considerations. Ultrasonic laboratory measurements and acoustic logs of shear wave velocity and compressional wave velocity for the Mishrif formation in the West Qurna-1 oil field are compared in this work to better understand how these critical measurements influence on the accuracy of calculating dynamic model. compressional (Vp) and shear (VS) wave velocities and density data were used to compute the porosity as well as elastic modulus. We observed a correlation between P wave velocity and sample elastic characteristics. Vp and elastic characteristics were correlated using regression analysis to generate empirical equations. Correlations between velocity data and the geological background of the region yielded excellent estimates of elastic characteristics. The results showed that there is a good agreement between Young's coefficient from the laboratory and the obtained log data, where the R2 value is 0.86. A good match between Vp and VS was also obtained for the laboratory data where the R2 value was 0.83.
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