尼日尔三角洲 Ek 油田储层特征的井基弹性属性分析

Ekone N.O, Dagogo, T
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摘要

推导出的弹性属性被用于利用测井数据判别 EK 油田的岩石和流体属性。这些衍生岩石属性在目标储层的交叉图空间中进行了分析。对划定储层 B20 的测井分析表明,页岩的平均体积(7.5%)、总孔隙度(33.9%)和水饱和度(29.3%)。弹性岩石属性(Vp/Vs、Lambda-Rho (λρ)、Mu-Rho (μρ)、泊松比和声阻抗)的交叉图被用作流体和岩性指标以及储层特征描述。交叉图结果显示,烃砂、盐水砂和页岩明显分离。低泊松比(0.2-0.26)、Lambda-Rho(7 GPa*g/cc -10 GPa*g/cc)、Vp/Vs(1.6-1.8)、低声阻抗和高 Mu-Rho 值表明是烃砂。泊松比(0.2-0.26)、Lambda-Rho(17 GPa*g/cc - 21GPa*g/cc)、Vp/Vs 比值(2.05-2.3)、相对较高的声阻抗和 Mu-Rho 的中间值表示卤水砂,而高泊松比(0.而高泊松比(0.35-0.41)、λ-rho(24 GPa*g/cc -27 GPa*g/cc)、Vp/Vs 比(2.3-2.5)、高声阻抗和低 Mu-Rho 则表明是页岩。 交叉图模型都显示了类似的结果,即碳氢砂具有高孔隙度、低水饱和度和页岩体积的特点。基于油井的弹性属性分析在弹性地震属性和储层属性之间建立了有用的关系,有助于划分岩性和储层流体,从而更好地了解尼日尔三角洲油田的储层。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Well Based Elastic Attribute Analysis for Reservoir Characterization in Ek-field Niger Delta
Derived elastic attributes has been used to discriminate rock and fluid properties in EK Field using well logs data. These derived rock attributes were analyzed in cross-plot space for target reservoirs. The log analysis for delineated reservoir B20 shows an average volume of shale (7.5%), total porosity (33.9%) and water saturation (29.3%). Cross-plots of elastic rock attributes (Vp/Vs, Lambda-Rho (λρ), Mu-Rho (μρ), Poisson ratio and acoustic impedance) were used as fluid and lithology indicators and in reservoir characterization. The cross plots results shows distinct separation of hydrocarbon sand, brine sand and shale. Low Poisson’s ratio (0.2-0.26), Lambda-Rho (7 GPa*g/cc -10 GPa*g/cc), Vp/Vs (1.6-1.8), low acoustic impedance and high Mu-Rho values indicate hydrocarbon sands. The intermediate values of Poisson’s ratio (0.2-0.26), Lambda-Rho (17 GPa*g/cc - 21GPa*g/cc) , Vp/Vs ratio (2.05-2.3),  relatively high acoustic impedance and Mu-rho  indicated brine sand while high Poisson’s ratio (0.35-0.41), Lambda-rho (24 GPa*g/cc -27 GPa*g/cc), Vp/Vs ratio (2.3-2.5), high acoustic impedance and low Mu-Rho indicated shale.  The cross-plot models all show similar result of hydrocarbon sand characterized by high porosity, low water saturation and volume of shale. The well based elastic attribute analyses established useful relationships between elastic derived seismic attributes and reservoir properties in delineating lithology and reservoir fluid for better understanding of reservoirs in the Niger Delta field.
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