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在传统的统计分析法基础上,提出了应用模糊数学法和人工神经网络法对储层潜在敏感性损害进行预测。介绍了新方法预测储层潜在敏感性所依据的数学原理和预测过程,并以水敏性预测为例,对实际预测的结果进行了讨论。此外,对几种预测储层潜在敏感性方法的特点进行了分析和比较,结果表明,人工神经网络法具有良好的自适应性、自组织性、容错性,预测精度较高,是一种较理想的预测储层潜在敏感性损害的新方法。
Based on the traditional statistical analysis method, the paper proposes the application of fuzzy mathematics method and artificial neural network method to predict the potential sensitivity damage of reservoir. The mathematical principle and forecasting process based on the new method for predicting potential sensitivity of reservoir are introduced. Taking the water sensitivity prediction as an example, the actual prediction results are discussed. In addition, several methods of predicting reservoir potential sensitivity are analyzed and compared. The results show that artificial neural network method has good adaptability, self-organization, fault tolerance and high prediction accuracy. Ideal Method for Predicting Potential Sensitive Damage to Reservoirs.