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Petrophysical Analysis and Sequence Stratigraphy of the Utica Shale and Marcellus Shale, Appalachian Basin, USA

机译:Utica Shale和Marcellus Shale,Appalachian盆地,美国岩石物理分析及序列地层

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Paleozoic organic-rich mudrock (“shale”) units were deposited on the eastern margin of the United States of America from the initial Cambrian rifting to the assembly of Pangaea after the Devonian. Two of these organic-rich shale units the Ordovician Point Pleasant-Utica and Devonian Marcellus Shale of the northern Appalachian basin are some of the most active shale gas/oil plays in the world, and a significant component in the United States energy market. Unconventional hydrocarbon plays are often referred to as statistical plays due to their high degree of heterogeneity, and present challenges for characterization and exploitation. Productivity depends upon an inter-related set of reservoir, completion and production characteristics. A key control on success is regional geology and sequence stratigraphy, in particular the geographic and stratigraphic distribution of organic matter, silica, and carbonate. The distribution of these key elements has been modeled at the basin and local scales. A 3-D mudrock lithofacies model is constructed using sequence stratigraphy to constrain mineral composition, rock properties and organic content. Core analysis and log data were used to calibrate the model from core scale to well scale and finally to regional scale. Geostatistical approaches were used to develop a quantitative relationship between conventional logs and lithofacies, and to model the distribution of mudrock lithofacies in three-dimensions. Controlled primarily by dilution, organic matter productivity, and organic matter accumulation distribution of organic-rich mudrock lithofacies was dominantly affected by water depth and distance to shoreline. The controls on mudrock reservoir quality are subtle and heterogeneity present in Utica and Marcellus results in regional and local well production variations. The proposed 3-D lithofacies modeling approach aids in recognizing geologic and engineering targets, designing horizontal well trajectories, targeting fracture stimulation strategies and understanding shale depositional environments and processes. The proposed approach can be extended to other organic-rich shale reservoirs.
机译:古生代有机富含牡蛎(“页岩”)单位沉积在美利坚合众国的东部边缘,从最初的Cambrian散步到德文郡之后的Pangea大会。这些有机丰富的页岩单位中的两个奥莫瓦迪人点友情 - 北阿巴拉契亚盆地北部的德文郡马塞尔斯页岩是世界上最活跃的页岩气/石油剧,以及美国能源市场的重要组成部分。由于其高度的异质性,非传统的烃剧通常被称为统计剧本,以及表征和剥削的挑战。生产率取决于与相关的储层,完成和生产特征集。成功的关键控制是区域地质和序列地层,特别是有机物质,二氧化硅和碳酸盐的地理和地层分布。这些关键要素的分布已经在盆地和本地尺度上进行了建模。使用序列地层构建3d豆类岩型型模型来限制矿物成分,岩石性能和有机含量。核心分析和日志数据用于将模型从核心规模校准到良好的规模,最后到区域尺度。地质统计方法用于开发常规日志和锂外的定量关系,并在三维中模拟浑浊岩散的分布。主要通过稀释,有机物质生产率和有机物质积累分布的有机物富含牡蛎锂缺失,受水深和与海岸线的距离影响。对牡蛎储层质量的控制是在尤诞和马塞勒斯的微妙和异质性,导致区域和局部井生产变化。所提出的3-D岩型建模方法辅助识别地质和工程目标,设计水平井轨迹,瞄准骨折刺激策略和了解页岩沉积环境和流程。拟议的方法可以扩展到其他有机富有的页岩储层。

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