储层油气产能的预测模型和方法

从达西渗流产量公式出发,通过以相对渗透率与含水饱和度的函数关系为纽带,导出油气储层产能与储层有效孔隙度、渗透率以及电阻率之间的理论模型.在此基础上,结合测井学的基本理论,探讨了利用测井资料进行储层产能预测的基本思想,采用人工神经网络技术建立了储层产能预测系统,该方法用于新疆克拉玛依油田八区克上组储层的油气产能预测,效果良好.

Model and method for oil and gas productivity prediction of reservoir

In this paper, the theoretical equation of the reservoir productivity is studied from the Darcy's two-dimensional production formula. The complicated relation between the productivity and the effective porosity, permeability, resistivity are deduced according to the functional relationship between relative permeability and water saturation. On the basis of the achievements above, the fundamental strategies of predicting the reservoir productivity are discussed. Finally the prediction system of reservoir productivity is established by neural network technique. This system has been successfully applied for the oil-gas productivity prediction of the Keshang Formation in the District 8 of Kelamayi Oil-field and proved to be effective.