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Production Forecasting for Shale Gas Exploration Prospects Based on Statistical Analysis and Reservoir Simulation

机译:基于统计分析和储层模拟的页岩气勘探前景生产预测

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Shale gas exploration and production is still in its infancy. Information is scarce and flow monitoring is usually absent, but many studies aiming to understand gas shale reservoir behavior and to optimize its exploitation are now being developed. However, the understanding of fluid flow and transportation mechanisms in shales, given their micropore particular matrix structure coupled to induced fractures, is still under debate. Several shale gas exploration projects are currently underway in diverse regions of Europe and Africa. The current lack of understanding of the main elements controlling well productivity, and the limitations of the available tools to correctly characterize the reservoir and forecast production from this type of well, make it difficult to predict the likely commercial value of a project. This value is controlled by drilling costs and the associated number of wells to develop a play, and the production returns that each of these wells may deliver. The purpose of the work presented in this paper was to generate, based on statistical analysis of major shale gas basins in the USA, a synthetic reservoir simulation model that can represent shale gas wells and be used for forecasting purposes in exploration areas with limited available information. Such a prediction is mainly based on the accurate identification of parameters that have the greatest impact on production, either reservoir parameters or operational/controlled parameters, so that the production profiles may be predicted and controlled parameters optimized.
机译:页岩气勘探和生产仍处于起步阶段。信息是稀缺和流动监测通常不存在,但目前正在开发许多旨在理解天然气流量水库行为和优化其利用的研究。然而,鉴于其微孔特定基质结构与诱导骨折的微孔特定基质结构仍处于争论,了解Shales中的流体流动和运输机制。目前正在欧洲和非洲各种各样的地区正在进行几个页岩气勘探项目。目前缺乏对控制井生产力的主要元素的理解,以及可用工具正确地表征水库和预测生产的井的局限性,使得难以预测项目的可能商业价值。该值是通过钻井成本和开发播放的相关数量的控制,并且这些井中的生产率可以提供。本文提出的工作的目的是基于美国主要页岩气盆地的统计分析,这是一种合成储层模拟模型,可以代表页岩气井,并用于预测有限信息的勘探区域的目的。这种预测主要是基于对生产影响最大的参数的准确识别,储层参数或操作/受控参数,从而可以预测生产简档并优化受控参数。

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