首页> 外文期刊>Marine Geophysical Researches >The application of geostatistical inversion in shale lithofacies prediction: a case study of the Lower Silurian Longmaxi marine shale in Fuling area in the southeast Sichuan Basin, China
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The application of geostatistical inversion in shale lithofacies prediction: a case study of the Lower Silurian Longmaxi marine shale in Fuling area in the southeast Sichuan Basin, China

机译:地统计反演在页岩岩型预测中的应用 - 以中国东南部涪陵地区下施林龙马西海岸的案例研究

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摘要

Based on cores, well logs and seismic data, we established the isochronous sequence stratigraphic framework of the Lower Silurian Longmaxi Formation and predicted the shale lithofacies distribution within the sequence stratigraphic framework using geostatistical inversion. The results of our study show that the Lower Member of the Longmaxi Formation is a third order sequence that includes a transgressive systems tract (TST), an early highstand systems tract (EHST) and a late highstand systems tract (LHST). Four lithofacies units have been recognized, specifically siliceous shale, argillaceous shale, calcareous shale and mixed shale. The results of geostatistical inversion reveal that the TST is characterized by flaky siliceous shale and some sparsely distributed calcareous shale. The EHST is dominated by mixed shale with minor amounts of siliceous shale, which occurs in only a small area. Moreover, in the LHST, argillaceous shale occupies almost the entire study region. Comparing to traditional geological research with geophysical research, the vertical resolution of the predictive results of geostatistical inversion could reach 1-2 m. Geostatistical inversion effectively solves the problem of precisely identifying the lithofacies in the Fuling shale gas field and predicting their spatial distribution. This successful study showcases the potential of this method for carrying out marine shale lithofacies prediction in China and other locations with similar geological backgrounds.
机译:基于核心,日志和地震数据,我们建立了较低硅藻土形成的等时序列地层框架,并使用地质统计反转预测了序列地层框架内的页岩岩散率分布。我们的研究结果表明,Longmaxi形成的下部成员是第三阶序列,包括泛型系统道(TST),早期高效系统道(EHST)和晚期高位系统道(LHST)。四个岩石遗传单位已被认可,特别是硅质页岩,骨质页岩,钙质页岩和混合页岩。地质统计反演结果表明,TST的特点是片状硅质页岩和一些稀疏分布的钙质页岩。 EHST由混合页岩主导,少量的硅质页岩,在仅一个小区域。此外,在LHST中,骨灰岩页岩几乎占据了整个研究区域。与地球物理研究传统地质研究相比,地质统计反转预测结果的垂直分辨率达到1-2米。地质统计反演有效解决了精确地识别涪陵页岩气体领域的岩石酸的问题,并预测其空间分布。这项成功的研究表明,这种方法在中国开展了中国的海洋页岩锂锂电图预测和具有类似地质背景的地点的潜力。

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