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富有机质岩石横波速度预测方法

  • Zhishui Liu*
  • , Junzhou Liu
  • , Ning Dong
  • , Qianzong Bao
  • , Zhenyu Wang
  • , Lei Shi
  • *此作品的通讯作者
  • Chang'an University
  • SINOPEC

科研成果: 期刊稿件文章同行评审

摘要

Aiming at the disadvantage that the influence of kerogen distribution and pore structure on velocity is not taken into account in the rock physics model of organic-rich rock, we present a method for S-wave velocity prediction of organic-rich rock by integrating the rock physics model(Kuster-Toksöz) with a nonlinear global optimization algorithm. In this method, the organic-rich rock is equivalent to a mixture of minerals, kerogen particles and fluid-containing pores, in which kerogen particles and pores are both equivalent to ellipsoid-shaped inclusions. The effect of kerogen distribution and pore shape on S-wave velocity is described according to the change of the aspect ratio of ellipsoids. The error between the predicted and mea-sured P-wave velocities is applied to establish the inverse objective function. Then calculate two parameters, the equivalent kerogen particles and the equivalent pore aspect ratios, by the optimization algorithm. The S-wave velocity is predicted based on the inverted parameters. Compared with three single-adaptive parameter methods commonly used in the industry, the new method of S-wave velocity prediction based on kerogen and pore aspect ratios simultaneously inverted from P-wave velocity (or P-and S-wave velocities) is more effective.

投稿的翻译标题Investigation to shear-wave velocity prediction me-thod for organic-rich rock
源语言繁体中文
页(从-至)127-136 and 154
期刊Shiyou Diqiu Wuli Kantan/Oil Geophysical Prospecting
56
1
DOI
出版状态已出版 - 15 2月 2021
已对外发布

关键词

  • Effective kerogen aspect ratio
  • Effective pore aspect ratio
  • Organic-rich shale
  • Rock physics model
  • S-wave velocity prediction

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