利用MDT和NMR资料确定储层产能预测参数

Determining Productivity Prediction Parameters with MDT and NMR Date

首先从储层产能预测分析模型入手 ,根据渗流力学的基本理论 ,分析了影响储层产能的关键参数 ,然后详细阐述了利用MDT和NMR资料所提供的信息 ,确定储层产能评价与预测所需的有效孔隙度、渗透率、有效厚度等关键参数的优势与方法。认为MDT和NMR可提供较准确的渗透率、压力、粘度和有效厚度等参数 。

Based on an analysis model of reservoir productivity prediction, in combination with the basic theory of percolating mechanism, the key parameters influencing its productivity are analyzed,the information provided with MDT and NMR data is described in detail, so as to determine the advantages and methods for evaluating the key parameters of productivity, predicting effective porosity,permeability and effective thickness needed. It is considered that more accurate parameters such aspermeability, pressure, viscosity and effective thickness can be provided with MDT and NMR, which are the key parameters for productivity evaluation.