��ɽ��м�Ҵ���������Ը��ӡ��⾮�������෱���Լ�����󡢲�λ����ص㣬���»�ɽ��м�Ҵ���⾮��������ȷ�����Ժ���������ڶ�ѷ--�������ݵĻ�ɽ��м�Ҵ���Ϊ�о����壬��׼ȷʶ�����ԵĻ����ϣ��Բ⾮���Ͻ���Ԥ�����������ķ������ϼ��������۹Ǽܲ���ֵ�����ݿ�϶�������ӡ��ܶȡ���������֮��Ĺ�ϵ������Ԫ�ع鷽��Ӧ���ڿ�϶�ȼ����У�ʵ�����ö�Ԫ�ع鷽�������ɽ��м�Ҵ����϶�ȡ����������ķ�����϶�ȱȽϽӽ�����������Ϊ1. 6%�������㴢������Ҫ��

Volcanic clastic rock reservoirs are complex in lithology and logging data��large in distribution regions�� and multiple in layers��which lead to the difficulty on logging data determination�� On the basis of accurately identification the lithological characters��the authors took the volcanic clastic reservoirs in Wuerxun-Bell depression of Hailar Basin as an example��did pretreatment of the logging data and calculated the theoretical skeleton parameters based on core analysis�� Then��the authors applied multivariate regression method in porosity calculation and returned statistical formula based on the relationship among porosity with neutron��density and sound wave��which realized the porosity calculation of volcanic clastic reservoirs by multivariate regression method�� The result was similar with porosity by core analysis ( error = 1. 6%) ��and met the reservoir calculation requirement��