Error types in reservoir characterization and management
Error types in reservoir characterization and management
复制标题
DOI：
10.1016/j.petrol.2010.03.030
复制
发表时间：
2010-06
影响因子：
--
通讯作者：
Y. Z. Ma
中科院分区：
文献类型：
--
作者：
Y. Z. Ma
本文讨论了油藏描述和管理中的错误类型。由于误差和不确定性之间的内在联系，误差类型的分析可以帮助减轻资源评估中的不确定性。首先，测量可能包含误差或具有一定范围的不确定性。第二，因为测量值通常仅代表储层的一小部分采样，所以基于有限测量值的整个储层的描述或建模涉及不确定性和预测误差。介绍了两种用于自然资源表征的误差分类方法。第一种提出的方法区分数据错误和推理错误，每个错误又进一步分为子类型。第二种方法根据解释与真实自然状态之间的不匹配将两种类型的错误分类，这可以提供有效的反馈来验证或反驳储层表征中使用的方法。将该方法进一步推广应用于油气资源评价和油藏管理中的综合误差分析。
This paper discusses types of errors in reservoir characterization and management. Due to intrinsic relationships between error and uncertainty, analysis of error types can help mitigate uncertainty in resource evaluation. First, measurements may contain errors or have a range of uncertainty. Second, because measurements typically represent only a small sampling fraction of a reservoir, description or modeling of the entire reservoir based on the limited measurements involves uncertainty and prediction errors. Two error classification methods are introduced for natural resource characterization. The first proposed method distinguishes between data errors and inference errors, each of which is further divided into subtypes. The second method classifies two types of errors based on the mismatch between one's interpretation and the true state of nature, which can provide efficient feedback to validate or refute the method used in a reservoir characterization. This method is further extended to analyze composite errors in hydrocarbon resource evaluation and reservoir management.