Abstract:

Statistics is a common resource assessment method applied in the international petroleum companies and principally in the middle-matured and high-matured exploration regions. This method can be divided into a variety of methods,such as reservoir scale sequence and statistical trend predication,according to their principles and key criteria. The case of resource assessment in Huanghua Depression using reservoir scale sequence and statistical trend predication shows that the reservoir scale sequence method is the best one for predicting the resources in middle-matured and high-matured exploration regions. The correlation coefficient of this method is higher and generally more than 0.9. The expectative value of resources got from this method is very accurate. The reservoir scale sequence method has a lower variation in calculation,better stability and more extensive applicability. It is indicated that the objective and reasonable division of calculation units is the key for getting reliability of resource assessment.

Key words: statistics, reservoir scale sequence method, applicability, resource assessment, expectative value

摘要：

统计法是国际各大石油公司通用的资源评价方法,主要适用于中-高成熟探区.可将其分为多种不同的具体方法,如油藏规模序列法,统计趋势预测法等,各种方法的原理及关键参数有一定差别.以黄骅坳陷某地区为例,对统计法中的油藏(田)规模序列法、统计趋势预测法进行了应用对比,结果表明,油藏(田)规模序列法是本地区中-高成熟探区资源量预测的首选方法,其参数之间的相关系数较高,一般大于0.9,预测资源量期望值非常接近.油藏(田)规模序列法的计算结果差异小,稳定性较好,适用性较强.客观、合理地划分计算单元是该方法评价结果可靠性的关键.

关键词: 统计法, 油藏规模序列法, 适用性, 资源评价, 期望值