天然气储层产能的测井评价与预测

LOG EVALUATION AND PREDICTION OF GAS RESERVOIR PRODUCTIVITY

通过测井数据标准化、测井曲线自动分层和建立识别模式对可能产层进行识别，求出地层有效孔隙度、气体的绝对渗透率、有效渗透率、产能指数、产能系数和复合指数等6种参数为确定产能评价参数，然后通过聚类分析，就可获得预测产层级别的标准模式，利用分层产能级别，便可与储层产能（测试无阻流量）建立联系，达到评价和预测储层产能的目的。经在川西北地区应用，获得了良好的效果。

Probable productive formations are recognized by log data standardization, log curve automativc layering and establishing recognizing models; the parmeters such as effective porosity of The formaions, the absofute and effectivePermeabilities of gas, the index and the coefficient of productivity, and the comprehensive index are calculated . Thesedata are used as evaluation porters to detendne pwhctive formations. The standard model of productivity gradecan be obtained by cluster analysis, sublayer productivity grad could be connected to the reservoir productivity(testnonresistance outflow), and then the evaluation and the prediction of reservoir productivity could be realized.