石油学报 ›› 2005, Vol. 26 ›› Issue (S1): 102-105.DOI: 10.7623/syxb2005S1021

• 论文 • 上一篇    下一篇

统计法在中-高成熟探区资源评价中的适用性研究

廖前进, 于学敏, 何咏梅, 滑双君, 刘晓军, 武刚   

  1. 中国石油大港油田分公司勘探开发技术研究中心 天津 300280
  • 收稿日期:2004-09-20 出版日期:2005-12-25 发布日期:2013-11-19
  • 作者简介:廖前进,男,1964年11月生,1987年获石油勘探开发科学研究院硕士学位,现为大港油田勘探开发技术研究中心副主任,高级工程 师.E-mail:liaogjin@petrochina.com.cn
  • 基金资助:

    中国石油天然气集团公司"十五"重点科技攻关项目"主要含油气盆地油气资源评价"部分成果.

Applicability of statistics to resource assessment of middle-matured and high-matured exploration regions

LIAO Qian-jin, YU Xue-min, HE Yong-mei, HUA Shuang-jun, LIU Xiao-jun, WU Gang   

  1. Research Center of Exploration and Development Technology, Dagang Oilfield Company, CNPC, Tianjin 300280, China
  • Received:2004-09-20 Online:2005-12-25 Published:2013-11-19

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

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

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