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基于EMD与关联维的储层识别
  • ISSN号:1672-7975
  • 期刊名称:《应用地球物理:英文版》
  • 时间:0
  • 分类:P[天文地球]
  • 作者机构:[1]油气藏地质及开发工程国家重点实验室,成都理工大学610059, [2]中海石油中国有限公司深圳分公司,518067
  • 相关基金:This work was supported by the National Nature Science Foundation of China (Grant Noss 40739907 and 40774064) and National Science and Technology Major Project (Grant No. 2008ZX05025-003).
中文摘要:

岩石基质的体积模量或其倒数一压缩系数,在进行油气预测的流体替换和孔隙度反演时,是重要的输入参数,但是利用现有方法很难准确求得。文中提出了一种求取该参数的线形拟合方法,该方法通过对Gassmann方程的合理简化并引入Eshelby-Walsh干燥岩石椭球包体近似公式,获得了计算岩石基质压缩系数的拟合公式,可方便地利用公式计算该参数。实际碳酸盐岩岩样的岩石物理测试分析显示:利用饱和岩样和干燥岩样测得的基质压缩系数的差异小于1%,说明所求参数是正确的,可靠的。

英文摘要:

The rock matrix bulk modulus or its inverse, the compressive coefficient, is an important input parameter for fluid substitution by the Biot-Gassmann equation in reservoir prediction. However, it is not easy to accurately estimate the bulk modulus by using conventional methods. In this paper, we present a new linear regression equation for calculating the parameter. In order to get this equation, we first derive a simplified Gassmann equation by using a reasonable assumption in which the compressive coefficient of the saturated pore fluid is much greater than the rock matrix, and, second, we use the Eshelby- Walsh relation to replace the equivalent modulus of a dry rock in the Gassmann equation. Results from the rock physics analysis of rock sample from a carbonate area show that rock matrix compressive coefficients calculated with water-saturated and dry rock samples using the linear regression method are very close (their error is less than 1%). This means the new method is accurate and reliable.

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期刊信息
  • 《应用地球物理:英文版》
  • 主管单位:中国科协
  • 主办单位:中国地球物理学会
  • 主编:范伟粹
  • 地址:北京和平里邮局76号信箱
  • 邮编:100013
  • 邮箱:cgsbull@china.com
  • 电话:010-84288401 64266649
  • 国际标准刊号:ISSN:1672-7975
  • 国内统一刊号:ISSN:11-5212/O
  • 邮发代号:
  • 获奖情况:
  • 国内外数据库收录:
  • 俄罗斯文摘杂志,荷兰文摘与引文数据库,美国地质文献预评数据库,美国剑桥科学文摘,美国科学引文索引(扩展库),英国科学文摘数据库,美国石油文摘
  • 被引量:150