Please wait a minute...
E-mail Alert Rss
 
物探与化探  2021, Vol. 45 Issue (6): 1482-1487    DOI: 10.11720/wtyht.2021.1164
  方法研究·信息处理·仪器研制 本期目录 | 过刊浏览 | 高级检索 |
一种基于岩石物理建模的横波预测方法
刘兰锋1(), 尹龙2, 黄捍东3(), 周振亚3, 董金超3
1.中国石化石油勘探开发研究院,北京 100083
2.中国石化石油物探技术研究院,南京 211103
3.中国石油大学(北京) 地球物理学院,北京 102249
Research on the method of shear wave prediction based on rock physics modeling
LIU Lan-Feng1(), YIN Long2, HUANG Han-Dong3(), ZHOU Zhen-Ya3, DONG Jin-Chao3
1. Sinopec Petroleum Exploration and Development Research Institute,Beijing 100083,China
2. Research Institute of Petroleum Geophysical Prospecting,SINOPEC,Nanjing 211103,China
3. College of Geosciences,China University of Petroleum-Beijing,Beijing 102249,China
全文: PDF(3640 KB)   HTML
输出: BibTeX | EndNote (RIS)      
摘要 

横波速度在地震正演模拟、流体预测和AVO分析中有着至关重要的作用。然而由于横波测井费用较高等原因,一些工区并没有横波速度测井资料。基于岩石物理建模的方法预测横波具有针对性,预测精度较高。本文采用了由Sabrina提出的计算有效弹性模量方法,扩展了Cao等在该方法进行横波预测的假设条件,进行岩石物理建模,利用实测的纵波速度计算孔隙弱度从而进一步预测横波。最后结合实际资料,利用已知测井横波速度数据进行验证,结果表明效果较好。

服务
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章
刘兰锋
尹龙
黄捍东
周振亚
董金超
关键词 横波预测岩石物理建模有效弹性模量孔隙弱度    
Abstract

Shear wave velocity plays an important role in seismic forward modeling,fluid prediction and AVO analysis.However,due to the high cost of shear wave logging,there are no shear wave velocity logging data in some work areas.The prediction method of shear wave based on rock physics modeling is specific and accurate.In this paper,the method of calculating effective elastic modulus proposed by Sabrina is adopted,and the assumption conditions of CAO for shear wave prediction by this method are extended,rock physics modeling is performed,and the measured porosity is used to calculate the pore compliance so as to further predict the shear wave.Finally,combined with the actual data,the cross velocity data are used to conduct verification,and the results show that the effect is fairly good.

Key wordsprediction method of shear wave    rock physics modeling    effective volume modulus    pore compliance
收稿日期: 2020-09-24      修回日期: 2021-09-18      出版日期: 2021-12-20
ZTFLH:  P631.4  
基金资助:国家科技重大专项(2017ZX05005-004-009);中石化科技部项目(PE19008-2);中石化科技部项目(P18075-5)
通讯作者: 黄捍东
作者简介: 刘兰锋(1979-),男,高工,博士研究生,主要从事地震储层预测方法研究工作。 Email:liulanfeng. syky@sinopec.com
引用本文:   
刘兰锋, 尹龙, 黄捍东, 周振亚, 董金超. 一种基于岩石物理建模的横波预测方法[J]. 物探与化探, 2021, 45(6): 1482-1487.
LIU Lan-Feng, YIN Long, HUANG Han-Dong, ZHOU Zhen-Ya, DONG Jin-Chao. Research on the method of shear wave prediction based on rock physics modeling. Geophysical and Geochemical Exploration, 2021, 45(6): 1482-1487.
链接本文:  
https://www.wutanyuhuatan.com/CN/10.11720/wtyht.2021.1164      或      https://www.wutanyuhuatan.com/CN/Y2021/V45/I6/1482
Fig.1  孔隙弱度和孔隙度数值模拟
Fig.2  横波预测流程
Fig.3  横波预测效果对比
a—本文方法预测结果;b—本文方法预测误差;c—经验公式预测结果;d—经验公式预测误差
Fig.4  工区两口生产井横波预测结果
a—生产井1;b—生产井2
Fig.5  纵波速度—泊松比交汇
Fig.6  预测横波(a)及纵横波速度比(b)
Fig.7  预测横波(a)及纵横波速度比(b)局部细节
Fig.8  过井well 1泊松比剖面
[1] 乔悦东, 高云峰, 安鸿伟. 基于Xu-White模型的优化测井横波速度预测技术研究与应用[J]. 石油天然气学报, 2007(5):100-105.
[1] Qiao Y D, Gao Y F, An H W. Research and application of optimal shear-wave velocity prediction technique based on Xu-White model[J]. Journal of Oil and Gas Technology, 2007(5):100-105.
[2] 杨远, 黄春梅, 王宇航. 川西Q地区须家河组横波预测方法研究[J]. 吐哈油气, 2012, 17(3):218-222.
[2] Yang Y, Huang C M, Wang Y H. Study on shear wave prediction method of Xujiahe Formation in Q area,western Sichuan[J]. Turpan-Hami Oil and Gas, 2012, 17(3):218-222.
[3] 白俊雨, 宋志翔, 苏凌, 等. 基于Xu-White模型横波速度预测的误差分析[J]. 地球物理学报, 2012, 55(2):589-595.
[3] Bai J Y, Song Z X, Su L, et al. Error analysis of shear wave velocity prediction based on Xu-White model[J]. Chinese Journal of Geophysics, 2012, 55(2):589-595.
[4] 张元中, 周开金, 赵建斌, 等. 砂泥岩地层横波测井曲线预测方法研究[J]. 石油物探, 2012, 51(5):508-514.
[4] Zhang Y Z, Zhou K J, Zhao J B, et al. Research on prediction method of shear wave logging curve in sand and mudstone formation[J]. Geophysical Prospecting for Petroleum, 2012, 51(5):508-514.
[5] 胡起, 陈小宏, 李景叶. 基于各向异性岩石物理模型的页岩气储层横波速度预测[J]. 石油物探, 2014, 53(3):254-261.
[5] Hu Q, Chen X H, Li J Y. Shale gas reservoir shear wave velocity prediction based on anisotropic rock physical model[J]. Geophysical Prospecting for Petroleum, 2014, 53(3):254-261.
[6] 陈启艳, 高建虎, 董雪华, 等. 碳酸盐岩地层横波速度预测[J]. 天然气地球科学, 2014, 25(6):921-927.
[6] Chen Q Y, Gao J H, Dong X H, et al. Prediction of shear wave velocity in carbonate formation[J]. Natural Gas Geoscience, 2014, 25(6):921-927.
[7] 王志坚. 横波速度预测及AVO正演模拟[D]. 成都:成都理工大学, 2016.
[7] Wang Z J. Shear-wave velocity prediction and AVO forward simulation[D]. Chengdu:Chengdu University of Technology, 2016.
[8] 李宏伟, 李国生, 王桂英. 岩石物理建模横波拟合技术探讨[J]. 中国石油和化工标准与质量, 2016, 36(19):123-124.
[8] Li H W, Li G S, Wang G Y. Discussion on shear wave fitting technique for rock physical modeling[J]. China Petroleum and Chemical Standard and Quality, 2016, 36(19):123-124.
[9] 逄硕, 刘财, 郭智奇, 等. 基于岩石物理模型的页岩孔隙结构反演及横波速度预测[J]. 吉林大学学报:地球科学版, 2017, 47(2):606-615.
[9] Pang S, Liu C, Guo Z Q, et al. Inversion of shale pore structure and prediction of shear wave velocity based on rock physical model[J]. Journal of Jilin University:Earth Science Edition, 2017, 47(2):606-615.
[10] 王震宇, 刘俊州. 岩石物理建模技术在致密砂岩储层预测中的应用——以鄂尔多斯盆地北部H区块为例[J]. 物探化探计算技术, 2019, 41(1):34-40.
[10] Wang Z Y, Liu J Z. Application of rock physical modeling techniques in tight sandstone reservoir prediction:A case study of H block in northern Ordos Basin[J]. Computational Techniques for Geophysical and Geochemical Exploration, 2019, 41(1):34-40.
[11] Castagna J P, Batzle M L, Eastwood R L. Relationships between compressional-wave and shear-wave velocities in clastic silicate rocks[J]. Geophysics, 1985, 50(4):571-581.
doi: 10.1190/1.1441933
[12] Krief M, Garat J, Stellingwerff J, et al. A petro-physical interpretation using the velocities of P and S waves[J]. The LogAnalyst, 1990, 31(6):355-369.
[13] Han D H, Nur A, Morgan D. Effects of porosity and clay content on wave velocities[J]. Geophysics, 1986, 51(11):2093-2107.
doi: 10.1190/1.1442062
[14] Greenberg M L, Castagna J P. Shear-wave velocity estimation in porous rocks:Theoretical formulation,preliminary verification and applications[J]. Geophysical Prospecting, 1992, 40(2):195-209.
doi: 10.1111/gpr.1992.40.issue-2
[15] Xu S, White R E. A physical model for shear-wave velocity prediction[J]. Geophysical Prospecting, 1996, 44(4):687-717.
doi: 10.1111/gpr.1996.44.issue-4
[16] Pride S R. Relationships between seismic and hydrological properties[C]// Rubin Y,Hubbard S S.Netherlands:Hydrogeophysics, 2005:253-291.
[17] Lee M W. Proposed moduli of dry rock and their application to predicting elastic velocities of sandstones[R]. U.S. Department of the Interior,U.S. Geological Survey, 2005.
[18] 李琳, 马劲风, 张宪旭. 孔隙裂隙型砂岩横波速度预测方法[J]. 地球物理学进展, 2010, 25(3):1065-1074.
[18] Li L, Ma J F, Zhang X X. Prediction method of shear wave velocity of sandstone with pore fracture[J]. Progress in Geophysics, 2010, 25(3):1065-1074.
[19] 印兴耀, 李龙. 基于岩石物理模型的纵、横波速度反演方法[J]. 石油物探, 2015, 54(3):249-253.
[19] Yin X Y, Li L. Inversion method of longitudinal and shear wave velocity based on rock physical model[J]. Geophysical Prospecting for Petroleum, 2015, 54(3):249-253.
[20] Sabrina A, Gary M. Solid substitution through Strain Concentration Tensors[C]// SEG Technical Program Expanded Abstracts, 2015:3321-3325.
[21] Cao W J, Wei B T. An adaptive method to estimate S-wave velocity and rock modulus[C]// 2017 CGS/SEG International Geophysical Conference, 2017:725-728.
[1] 张德明, 刘志刚, 臧殿光, 廖显锋, 刘志毅, 刘国宝. 基于叠前同时反演的致密砂岩储层预测及含气性识别——以苏里格S区块为例[J]. 物探与化探, 2022, 46(3): 645-652.
[2] 朱颜, 韩向义, 岳欣欣, 杨春峰, 常文鑫, 邢丽娟, 廖晶. 致密砂岩储层脆性测井评价方法研究及应用——以鄂尔多斯盆地渭北油田为例[J]. 物探与化探, 2021, 45(5): 1239-1247.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
京ICP备05055290号-3
版权所有 © 2021《物探与化探》编辑部
通讯地址:北京市学院路29号航遥中心 邮编:100083
电话:010-62060192;62060193 E-mail:whtbjb@sina.com