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SCREENING OF SUITABLE EXPLOITATION TECHNOLOGIES ON THE ORINOCO OIL BELT APPLYING GEOSTATISTICAL METHODS

机译:应用地质统计方法筛选奥里诺科油带的合理开发技术

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摘要

The Orinoco oil belt is one of the largest known accumulation of non-conventional oil in the world, estimated to be around 1.36 trillion barrels of initial hydrocarbons in place, with gravity ranging from 8 to 15°API. An investigation of alternative production technology processes having potential application in the giant Orinoco Beltis presented. The challenge for selecting an adequate method is to determine a relationship between reservoir characteristics and the potential of an EOR/IOR mechanism. For this purpose, screening criteria to manage available production technologies has been proposed based on geostatistical analysis and oil recovery technologies. The objective was to evaluate and rank production exploitation schemes to achieve the most attractive processes on which to pursue further work toward increasing recovery. The use of geostatistical methods and its integration with reservoir engineering enables to build a model of a process and to estimate uncertainties on the response predictions. Multiple realizations of reservoir static variables and fluid properties and correlations are used to represent reservoir heterogeneity, and uncertainty assessment and reproduce available data to be reliable. This is a useful methodology for selecting suitable production technologies, assess risks and improving know-how by comparing practical experience and probabilistic results.
机译:奥里诺科石油带是世界上已知的最大的非常规石油聚集地之一,估计有约1.36万亿桶初始碳氢化合物到位,重力范围为8至15°API。介绍了对可能在巨型Orinoco Beltis中潜在应用的替代生产技术过程的调查。选择适当方法的挑战是确定储层特征与EOR / IOR机制潜力之间的关系。为此,已经提出了基于地统计分析和石油采收技术的筛查标准,以管理可用的生产技术。目的是对生产开发方案进行评估和排名,以实现最有吸引力的流程,并在此基础上进行进一步的工作以提高采收率。地统计学方法的使用及其与储层工程的集成使得能够建立一个过程模型并估计响应预测的不确定性。储层静态变量,流体性质和相关性的多种实现方法可用来表示储层的非均质性,并进行不确定性评估并重现可用数据,以确保可靠性。这是一种通过比较实际经验和概率结果来选择合适的生产技术,评估风险和提高专有技术的有用方法。

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