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Petrophysical evaluation and uncertainty analysis of Roseneath and Murteree shales reservoirs in Cooper Basin, Australia (a case study)

机译:澳大利亚库珀盆地Roseneath和Murteree页岩储层的岩石物理评价和不确定性分析(案例研究)

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摘要

This study investigates petrophysical characteristics of lacustrine Permian Murteree and Roseneath shales in relation to reservoir evaluation of the most prospective gas shale plays in the Cooper Basin, Australia. Both shales were investigated for gas volumes by employing unconventional petrophysical techniques through a combination of source rock parameters acquired by geochemical analysis, and integrating the extracted parameters into log interpretation and core studies. Modeling mineralogical composition using wireline logs require the selection of a proper mineral model. In this study, the mineral model was built in the Interactive Petrophysics (IP's) Mineral Solver module by integrating all regional sedimentological, petrographic, SEM (Scanning electronic microscope), pulse decay and X-ray diffraction data (XRD) from core and chip cutting samples. This study developed a mineral grouping framework to assist in the selection of a proper model to easily solve complex shale gas reservoirs for gas volumes. Furthermore, the permeability of both shales depends on in-situ confining stress and permeability of these cores and can be calculated through decay rate of a pressure pulse applied to experimental data. Subsequent to the integrated study as explained above, it is concluded on the basis of extruded parameters (shale porosity, permeability, volume of kerogen, volume of brittle minerals and water saturation) that Murteree formation exhibits better potential than Roseneath formation in and around Nappameri, Patchawarra and Tenappera troughs, while poor potential is exhibited in the Allunga trough. The only location where Roseneath exhibits better potential is in Encounter-01 well.
机译:这项研究调查了湖相二叠系Murteree和Roseneath页岩的岩石物理特征,与澳大利亚库珀盆地最有前景的页岩气藏的储层评价有关。通过采用非常规岩石物理技术,结合通过地球化学分析获得的烃源岩参数,并将提取的参数整合到测井解释和岩心研究中,对两种页岩的瓦斯量进行了研究。使用电缆测井对矿物成分进行建模需要选择合适的矿物模型。在这项研究中,通过整合所有区域沉积学,岩石学,SEM(扫描电子显微镜),脉冲衰减和来自岩心和切屑的X射线衍射数据(XRD),在交互式岩石物理(IP)的矿物求解器模块中建立了矿物模型。样品。这项研究开发了一种矿物分组框架,以帮助选择合适的模型,以轻松解决复杂的页岩气储层的天然气体积。此外,两个页岩的渗透率取决于这些岩心的原地限制应力和渗透率,并且可以通过施加到实验数据的压力脉冲的衰减率来计算。在上述综合研究之后,根据挤压参数(页岩孔隙度,渗透率,干酪根体积,脆性矿物体积和水饱和度)得出结论,在纳帕梅里及其周围,Murteree地层比Roseneath地层具有更好的潜力, Patchawarra和Tenappera谷,而Allunga谷则潜力不大。 Roseneath表现出更大潜力的唯一位置是在Encounter-01。

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