MEMBANGUN MODEL NEUTRON POROSITY BAWAH PERMUKAAN DENGAN PROPERTI FISIK DATA SEISMIK PADA RESERVOIR KARBONAT

Tabah Fatchur Rubiyana, Paul Hutabarat
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Abstract

Physical properties are often applied to oil and gas exploration analysis using seismic data. However, in reality, none of the physical properties (attributes) of seismic data can describe the entire type of lithology of a subsurface layer. It takes a combination of various physical properties (multi-attributes) and other data to map the lithological distribution of a subsurface layer. One of the seismic attributes that can be used in describing the condition of subsurface lithology is acoustic impedance (AI). Acoustic impedance can provide information in the form of rock lithology in a layer. This information can be interpreted by inversion. Inversions performed on acoustic impedance obtain the results of cross-sectional distribution of acoustic impedance that shows lithology. As existing lithological conditions, correlations to other physical properties can be modeled. Combination of the physical property used is called multi-attribute. Multi-attribute methods can predict and model the porosity of rocks from seismic attributes. The application of this method is used to describe lateral distribution and porosity mapping (neutron porosity). The results of the study using the multi-attribute seismic method applied to the LMGS Field seismic data obtained a distribution map of neutron porosity. Neutron porosity values obtained to show a hydrocarbon reservoir range from 0.05 to 0.2 on the fraction scale.
在碳酸氢盐池中建立一个地下中子流模型,其地震数据的物理性质
物理性质通常应用于利用地震数据进行油气勘探分析。然而,在现实中,地震数据的任何物理性质(属性)都不能描述亚表层的整个岩性类型。它需要结合各种物理性质(多属性)和其他数据来绘制亚表层的岩性分布图。声波阻抗(AI)是描述地下岩性的地震属性之一。声阻抗可以以岩层岩性的形式提供信息。这个信息可以用反演来解释。对声阻抗进行反演,得到反映岩性的声阻抗截面分布结果。根据现有的岩性条件,可以对其他物理性质的相关性进行建模。所使用的物理属性的组合称为多属性。多属性方法可以根据地震属性对岩石孔隙度进行预测和建模。该方法用于描述横向分布和孔隙度映射(中子孔隙度)。研究结果将多属性地震方法应用于LMGS野外地震资料,得到了中子孔隙度分布图。获得的中子孔隙度值显示,在分数尺度上,油气藏的范围为0.05 ~ 0.2。
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