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首页> 外文期刊>Marine and Petroleum Geology >Geostatistic recognition of genetically distinct shale facies in upper Triassic chang 7 section, the Ordos Basin, North China
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Geostatistic recognition of genetically distinct shale facies in upper Triassic chang 7 section, the Ordos Basin, North China

机译:鄂尔多斯盆地鄂尔多斯盆地上三叠系张7段基因不同的页岩相的地偶体识别

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The Ordos basin in North China may be one of the nonmarine basins with highest hydrocarbon generation per volume of sedimentary fill. It has great potential for unconventional oil and gas exploration, especially shale oil. When evaluating and predicting shale oil resources, the difference between different regions and different layers of shale is very obvious, so it cannot be calculated simply by average. A geostatistic decision tree was constructed based on a training set of 22 parameters (geochemistry, petrology, and sedimentology) for 110 shale samples from the basin, which can be used to implement genetic classification of subsequently collected shale samples. Three shale fades are identified by the decision tree. The properties of each facies are different, such as TOC, kerogen type and sulfur content. Genetic properties indicate formation conditions and provide base for the geostatistic assignments. The differential distribution of shale facies in the basin reflects their origins from different formation mechanism. Elements ratios, isotopes and biomarkers can be used to infer the sedimentary environment for each shale facies. Facies 1 mainly occurs in the upper Chang 7 section and shows evidence of quartz-rich source rock deposited under suboxic-anoxic condition. Facies 3 occurs at the lower Chang 7 section and shows evidence of clay-rich and pyrite-rich shale deposited under reducing dysoxic conditions with numerous higher plants input. Facies 1 and 2 constitutes the upper Chang 7 with interactive thick layers; Facies 2 and 3 constitute the lower Chang 7 with interactive thin layers.
机译:华北地区的鄂尔多斯盆地可以是每体积沉积填充物质最高的碳氢化合物盆地之一。它对非传统石油和天然气勘探具有巨大潜力,尤其是页岩油。在评估和预测页岩油资源时,不同地区和不同层之间的差异非常明显,因此不能仅通过平均计算。基于来自盆地的110页岩样品的22种参数(地球化学,岩石学和沉积学)构建了地统计学决策树,其可用于实施随后收集的页岩样品的遗传分类。决定树识别了三个页岩淡化。每个相的性质是不同的,例如TOC,Kerogen型和硫含量。遗传性质表明形成条件并为地统计学作业提供基础。盆地中页岩相的差异分布反映了它们的起源来自不同的形成机制。元素比率,同位素和生物标志物可用于推断每个页岩相的沉积环境。相1主要发生在高常7段中,并显示富含石英源岩的证据证明沉积在氧毒性条件下。相3发生在较低的第7部分中,并显示在减少含有众多高等植物的降低型造成的抗霉菌条件下沉积富含富含粘土和硫铁矿的页岩。相1和2构成具有交互式厚层的上部常温7;相2和3用交互式薄层构成较低的常温7。

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