应用岩石物理与岩石物理计算、同步反演、扩展弹性阻抗(EEI)和弯曲伪弹性阻抗(CPEI)分析波拿巴盆地X油田含油气砂岩分布

A. H. Kusuma
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引用次数: 0

摘要

为了分析一个地区的油气藏分布,可以采用适当的方法和参数对该地区的沉积物进行测绘。在本研究中,研究对象是位于Bonaparte盆地的X油田。采用了EEI和CPEI方法。扩展弹性阻抗法(EEI)是一种利用角旋转原理将地震资料与弹性参数联系起来的方法。利用该方法可以得到各种弹性参数和储层参数的地震体积。采用曲线拟弹性阻抗法(CPEI)对流体在研究区内的分布进行了描述。利用伽马射线(Gamma Ray, GR)探测岩性和流体分布,利用CPEI反演结果获取含水饱和体积,了解研究区油气分布。结果表明,两次反演均能区分致密砂岩岩性、页岩、湿砂岩、气砂岩和多孔砂岩的分布。通过GR = 20 ~ 40 API、λρ = 0 ~ 50 GPA* GR /cc、μρ > 80 GPA*g/cc、σ = 0.05 ~ 0.24单位和Sw = 0 ~ 40%可以识别气砂分布的存在;岩性致密砂岩GR = 40 ~ 70 API、λρ = 70 ~ 80 GPA* GR /cc、σ>0.4单位;页岩岩性GR > 90 API、μρ 70%。根据这些解释结果,生成了X油田砂岩分布图,该分布图在研究目标区由2个储层组成。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of the Hidrocarbon Sandstone Distribution Using Rock Physics and Petrophysic Calculations, Simultaneous Inversion, Extended Elastic Impedance (EEI) and Curved Pseudo-Elastic Impedance (CPEI) in X Field Bonaparte Basin
To analyze the distribution of hydrocarbon reservoirs in an area, appropriate methods and parameters can be used to map sediments in the area. In this study, the research was conducted on the X Field located in the Bonaparte Basin. The EEI and CPEI methods are used. The Extended Elastic Impedance (EEI) method is a method that can be used to connect seismic data with elastic parameters by applying the principle of angular rotation. From this method, seismic volumes of various elastic parameters and reservoir parameters will be obtained. The Curved Pseudo-elastic Impedance (CPEI which is able to answer the problem in describing the distribution of fluid in the study area) is also carried out. Gamma Ray (GR) is used to detect lithology and fluid distribution, while from the results of CPEI inversion, the water saturation volume is obtained to see the hydrocarbon distribution in the study area. The results show that the two inversions are able to differentiate the distribution of tight sand lithology, shale, wet sand, gas sand and porous sand. The presence of gas sand distribution can be identified by the value of GR = 20-40 API, λρ = 0-50 GPA*gr/cc, μρ > 80 GPA*g/cc, σ = 0.05-0.24 unitless and the value of Sw = 0-40%, lithology tight sand has a value of GR = 40-70 API, λρ = 70-80 GPA*gr/cc, σ>0.4 unitless, shale lithology has a value of GR > 90 API , μρ <30 GPA*gr/cc, and wet sand is shown with the value GR = 20-40 API, λρ = 50-80 GPA*gr/cc, σ = 0.25-0.35 unitless and Sw> 70%. Based on the results of these interpretations, a sandstone distribution map in X Field was generated and it consists of 2 reservoir layers in the research target zone.
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