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首页> 外文期刊>Arabian journal of geosciences >Rock physics analysis and Gassmann's fluid substitution for reservoir characterization of 'G' field, Niger Delta
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Rock physics analysis and Gassmann's fluid substitution for reservoir characterization of 'G' field, Niger Delta

机译:岩土物理分析与Gassmann流体替代“G”田间的储层特征,尼日尔三角洲

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This study investigates the relationship between rock physics and petrophysical parameters in reservoir characterization. The data used for the analysis consist of suites of three wells, intercalated with sand and shale. Two reservoir sands were mapped, and petrophysical analysis was done to evaluate the hydrocarbon potential of G field. Elastic parameters such as compressional velocity (V-p), shear wave (V-s), acoustic impedance (AI), LambdaRho (), MuRho (), and bulk modulus (k) were generated and cross-plotted against petrophysical parameters to infer the Facies types. The sand lithology gave a low gamma ray, high resistivity, and low acoustic impedance in contrast to the shale. For the three wells, two reservoirs were observed each, at average depth ranging between 1546 and 1605m and between 2010 and 2168m. Cross plots such as V-p/V-s versus AI using gamma ray as indicator, versus using density as indicator, and volume of shale (V-sh) versus water saturation (S-w) using porosity as indicator were carried out for each reservoir to determine and discriminate their porosity and fluid content respectively. Well 2 was observed to be the most productive due to its high hydrocarbon saturation and reservoir characteristics. Gassmann's fluid substitution was also carried out to understand the behavior of the dry rock; the pores were filled and superimposed on a rock physics template to extrapolate the general reservoir behavior of the field. It was observed that V-p and Rho decrease with increase in V-s for 100% gas saturation, while V-p and Rho increase as V-s remains constant with 100% water saturation.
机译:本研究调查了储层特征中岩石物理学与岩石物理参数的关系。用于分析的数据包括三个井的套件,与沙子和页岩嵌入。映射了两个储层砂,并进行了岩石物理分析以评估G田的烃潜力。产生诸如压缩速度(VP),剪力波(VS),声阻抗(AI),Lambdarho(),Murho()和体积模量(k)的弹性参数并交叉绘制岩石物理参数,以推断各种类型。与页岩相比,沙岩岩体呈现出低伽马射线,高电阻率和低声阻抗。对于三个井,每个储存器被观察到,平均深度在1546和1605米之间,2010年间至216.6米之间。使用孔径为指示器的vp / vs与ai等vp / vs与ai,与使用孔隙度的浓度为指示器,以及使用孔隙率的物质饱和度(sw),以确定和辨别它们的孔隙率和液体含量。由于其高碳氢化合物饱和度和储层特性,因此观察到井是最富有成效的。还进行了Gassmann的流体取代,以了解干岩的行为;毛孔填充并叠加在岩石物理模板上,以推断该领域的一般储层行为。观察到V-P和rhO随着100%气体饱和度的增加而降低,而V-P和Rho随着V-S的增加而恒定,具有100%的水饱和度。

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