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天然气地球科学 ›› 2019, Vol. 30 ›› Issue (12): 1815–1822.doi: 10.11764/j.issn.1672-1926.2018.11.001

• 天然气勘探 • 上一篇    

基于可变临界孔隙度Nur模型的页岩气层横波速度预测

彭骁1,2,3(),谭茂金1(),王跃祥2,3,谢冰2,周肖2   

  1. 1. 中国地质大学地球物理与信息技术学院，北京 100083
    2. 中国石油西南油气田公司勘探开发研究院，四川 成都 610041
    3. 页岩气评价与开采四川重点实验室，四川;成都 610041
  • 收稿日期:2018-08-28 修回日期:2019-11-01 出版日期:2019-12-10 发布日期:2020-03-25
  • 通讯作者: 谭茂金 E-mail:Pengxiao20122012@126.com;tanmj@cugb.edu.cn
  • 作者简介:彭骁（1988-），男，湖北孝感人，硕士研究生，主要从事测井岩石物理研究. E-mail：Pengxiao20122012@126.com.
  • 基金资助:
    国家科技重大专项“页岩气勘探开发关键技术——南方海相页岩气开采试验”(2012ZX05018-006);国家自然科学基金“有机页岩电学特性多尺度分析与测井解释新方法”(41774144)

Estimation of shear wave velocity in shale gas layer based on variable critical porosity Nur model

Xiao Peng1,2,3(),Mao-jin Tan1(),Yue-xiang Wang2,3,Bing Xie2,Xiao Zhou2   

  1. 1. School of Geophysics and Information Technology, China University of Geosciences, Beijing 100083, China
    2. Research Institute of Exploration and Development, PetroChina Southwest Oil and Gas Field Company, Chengdu 610041, China
    3. Shale Gas Evaluation and Exploitation Key Laboratory of Sichuan Province, Chengdu 610041, China
  • Received:2018-08-28 Revised:2019-11-01 Online:2019-12-10 Published:2020-03-25
  • Contact: Mao-jin Tan E-mail:Pengxiao20122012@126.com;tanmj@cugb.edu.cn

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摘要：

准确的横波测井速度是影响地震叠前属性分析及反演质量的重要参数，在缺乏偶极横波测井情况下需要用Krief、Pride等数学模型预测横波，近年来临界孔隙度模型在计算骨架的弹性模量中应用效果较好。在前人研究的临界孔隙度模型的基础上，发展出了可变临界孔隙度的Nur模型，并将遗传算法应用于可变临界孔隙度的计算，最终估算得到了页岩气层的横波速度。实例应用表明，遗传算法可以计算得到沿井眼不同深度的临界孔隙度，而且预测得到的横波与偶极横波测井（DSI）一致性好，证明该方法应用于页岩气的横波估算中是可行的。

关键词: Gassmann方程, V-R-H模型, 可变临界孔隙度模型, 遗传算法

Abstract:

Accurate shear wave logging velocity is a necessary parameter for pre-stack seismic attribute analysis and pre-stack seismic inversion. In the absence of dipole shear wave logging, it is necessary to use Krief, pride and other mathematical models to predict shear waves. In recent years, critical porosity has been well applied in calculating elastic model quantities of skeleton. Based on the critical porosity model, genetic algorithm (GA) is investigated to achieve a variable critical porosity through the borehole. The shear wave velocity is finally estimated by using the critical porosity and the GA-derived parameters. A case study shows that genetic algorithm can calculate the continuous critical variable porosity, and the predicted shear wave slowness is well consistent with DSI log. This method can be applied to tight sandstone reservoir.

Key words: Gassmann’s equation, V-R-H modell, Variable critical porosity model, Genetic algorithms

中图分类号: 

  • TE37

图1

用遗传算法计算可变临界孔隙度流程"

图2

基于可变Nur模型结合遗传算法横波速度估算流程"

图3

基于可变Nur模型用遗传算法求解模拟的A井的横波时差与Krief模型的对比"

表1

两种方法预测横波时差与DSI实测值对比"

深度/mDSI实测横波时差/（μs/m）可变临界孔隙度预测横波时差/(μs/m)Krief模型预测横波时差/(μs/m)
2 469411412375
2 477383378354
2 490397401368
2 502479456408
2 506485485440
2 511408410434
2 518375376367
2 524470468413

图4

基于可变临界孔隙度Nur模型用遗传算法估算B井的横波时差"

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