Seismic characterization of carbonate platforms and reservoirs: an introduction and review

J. Hendry, P. Burgess, D. Hunt, X. Janson, V. Zampetti
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引用次数: 12

Abstract

Abstract Improved seismic data quality in the last 10–15 years, innovative use of seismic attribute combinations, extraction of geomorphological data and new quantitative techniques have significantly enhanced understanding of ancient carbonate platforms and processes. 3D data have become a fundamental toolkit for mapping carbonate depositional and diagenetic facies, and associated flow units and barriers, giving a unique perspective on how their relationships changed through time in response to tectonic, oceanographic and climatic forcing. Sophisticated predictions of lithology and porosity are being made from seismic data in reservoirs with good borehole log and core calibration for detailed integration with structural, palaeoenvironmental and sequence stratigraphic interpretations. Geologists can now characterize entire carbonate platform systems and their large-scale evolution in time and space, including systems with few outcrop analogues such as the Lower Cretaceous Central Atlantic ‘pre-salt’ carbonates. The papers introduced in this review illustrate opportunities, workflows and potential pitfalls of modern carbonate seismic interpretation. They demonstrate advances in knowledge of carbonate systems achieved when geologists and geophysicists collaborate and innovate to maximize the value of seismic data from acquisition, through processing to interpretation. Future trends and developments, including machine learning and the significance of the energy transition, are briefly discussed.
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碳酸盐岩台地和储层的地震表征:介绍与综述
近10-15年来,地震数据质量的提高、地震属性组合的创新应用、地貌数据的提取以及新的定量技术显著增强了对古碳酸盐岩台地和过程的认识。3D数据已经成为绘制碳酸盐岩沉积和成岩相以及相关流动单元和屏障的基本工具,为了解它们之间的关系如何随时间变化而响应构造、海洋和气候强迫提供了独特的视角。通过良好的井眼测井和岩心校准,可以将储层的地震数据与构造、古环境和层序地层解释详细结合起来,对岩性和孔隙度进行复杂的预测。地质学家现在可以描述整个碳酸盐岩台地系统及其在时间和空间上的大规模演化,包括很少有露头类似物的系统,如下白垩纪中大西洋“盐下”碳酸盐岩。本文介绍了现代碳酸盐岩地震解释的机会、工作流程和潜在缺陷。通过地质学家和地球物理学家的合作和创新,从采集、处理到解释,最大限度地提高了地震数据的价值,从而证明了碳酸盐岩系统知识的进步。简要讨论了未来的趋势和发展,包括机器学习和能源转型的意义。
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