Abstract High-resolution sequence stratigraphy (HRSS) is a data-driven methodology that refers to the stratigraphic refinement achieved below seismic resolution. HRSS follows the standard sequence stratigraphy methodology and nomenclature, which are well established for the shallow marine to downstream reaches of the fluvial systems. Still, nomenclature must be flexible to some extent when applied to lacustrine carbonate settings. A high-resolution stratigraphic sequence is a cycle of change in stacking patterns of facies, facies associations, architectural elements, or depositional systems bound by the recurrence of the same sequence stratigraphic surface in the rock record that is observed below the resolution of a third-order sequence. Criteria that allow its identification include: I) typical internal Transgressive Regressive (T-R) pattern; II) vertical recurrence of the signature of stacking patterns at each considered hierarchy; III) trends (non-random distribution) of the vertical arrangement of stacking patterns that determine high-frequency sequences as the basis for defining and building the systems tracts of immediately higher-order sequences; IV) mappability of the stacking patterns and their respective bounding stratigraphic surfaces at each considered hierarchy. Reservoir zonation and characterisation is an essential application of HRSS in the petroleum industry. HRSS highlights the reservoir spatial distribution and heterogeneities, which are the stratigraphical essence of 3D geological and fluid flow models. Such models must be sufficiently robust to forecast production performance, to guide reservoir management, to optimise production, and to increase the ultimate recovery factor. In greenfields, HRSS identifies the best reservoirs for production. In brownfields, it guides an increase in production that marks a new phase of rejuvenation. HRSS rationalises and optimises hydrocarbon production and hence is an indispensable methodology for reservoir geology.

中文翻译：

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应用于储层分带和表征的高分辨率层序地层学及其对生产性能的影响 - 浅海、下游和湖相碳酸盐环境

摘要 高分辨率层序地层学（HRSS）是一种数据驱动的方法，指的是在地震分辨率以下实现地层细化。HRSS 遵循标准层序地层学方法和命名法，这些方法和命名法已为浅海到河流系统下游河段确立。尽管如此，当应用于湖泊碳酸盐环境时，命名法必须在一定程度上具有灵活性。高分辨率地层层序是相、相组合、建筑元素或沉积系统的堆叠模式变化的循环，由岩石记录中相同层序地层表面的重现所约束，该层序地层表面在低于三分之一分辨率的情况下观察到顺序。允许其识别的标准包括： I) 典型的内部海侵回归 (TR) 模式；II) 在每个考虑的层次结构中堆叠模式特征的垂直重复；III) 堆叠模式垂直排列的趋势（非随机分布），确定高频序列作为定义和构建直接高阶序列系统域的基础；IV) 在每个考虑的层次上堆叠模式和它们各自的边界地层表面的可映射性。油藏分带和表征是 HRSS 在石油工业中的重要应用。HRSS 突出了储层空间分布和非均质性，这是 3D 地质和流体流动模型的地层学本质。此类模型必须足够稳健，以预测生产性能、指导油藏管理、优化生产、并提高最终回收率。在绿地中，HRSS 确定了最佳的生产油藏。在棕地，它引导产量增加，标志着复兴的新阶段。HRSS 使油气生产合理化和优化，因此是储层地质学不可或缺的方法。