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物探与化探  2020, Vol. 44 Issue (5): 1208-1214    DOI: 10.11720/wtyht.2020.1422
  方法研究·信息处理·仪器研制 本期目录 | 过刊浏览 | 高级检索 |
叠后反演技术在杨税务潜山裂缝孔隙型储层预测中的应用
王亚1,2(), 易远元1, 王成泉3, 王孟华3, 杨洲鹏3, 张红文3, 王盛亮3, 贾敬3
1.长江大学 地球物理与石油资源学院,湖北 武汉 434023
2.华北油田公司 经济技术研究院,河北 任丘 062552
3.华北油田公司 勘探开发研究院,河北 任丘 062552
The application of post-stack inversion technology to the prediction of fracture and pore reservoir in Yangshuiwu buried hill
WANG Ya1,2(), YI Yuan-Yuan1, WANG Cheng-Quan3, WANG Meng-Hua3, YANG Zhou-Peng3, ZHANG Hong-Wen3, WANG Sheng-Liang3, JIA Jing3
1.School of Geophysics & Oil Resources,Yangtze University,Wuhan 434023,China
2.Economic Reserach Institute of Huabei Oilfield Company,Renqiu 062552,China
3.Exploration and Development Research Institute of Huabei Oilfield Company,Renqiu 062552,China
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摘要 

杨税务潜山奥陶系碳酸盐岩储层广泛分布,储层以裂缝孔隙型为主,但由于其储层埋藏深,地震资料分辨率低,储层声波测井特征不明显,常规声波反演难以实现有效储层的分布预测。在分析已钻井储层测井响应特征的基础上,优选出对有效储层响应敏感的电阻率曲线,并与声波曲线进行曲线重构,得到具有声波背景的电阻率拟声波曲线,然后基于叠后数据的测井约束模型反演技术,实现了有效储层的分布预测,最后在此基础上,利用孔隙度曲线与已钻井的拟声波波阻抗曲线进行基于神经网络模拟技术的储层参数反演,实现研究区孔隙度平面分布预测。实践证明,该预测方法有效实用,在杨税务潜山地区应用效果较好。
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王亚
易远元
王成泉
王孟华
杨洲鹏
张红文
王盛亮
贾敬
关键词 ： 杨税务潜山,  交汇分析,  拟声波反演,  储层参数反演    
Abstract：

The Ordovician carbonate reservoirs in Yangshuiwu buried hill are widely distributed,and fractured porous reservoirs are well developed. But due to its deep reservoir,low resolution of seismic data, and unclear acoustic logging characteristics of reservoirs,it is difficult to achieve effective reservoir distribution prediction by conventional acoustic inversion.Based on the analysis of logging response characteristics of drilled reservoirs,the resistivity curves sensitive to effective reservoir response are selected and reconstructed with acoustic curves.The resistivity pseudo-acoustic curves with acoustic background are obtained.Then,the distribution prediction of effective reservoirs is realized based on post-stack logging constrained model inversion technology.Finally,the inversion of reservoir parameters based on neural network simulation technology is carried out by using the porosity curve and the pseudo-acoustic impedance curve drilled to realize the prediction of the planar distribution of porosity in this study area.Practice has proved that the forecasting method is effective and practical,and has a good application effect in the buried hill area of Yangshuiwu.
Key words： Yangshuiwu buried-hill    intersection analysis    pseudo-acoustic inversion    reservoir parameter inversion
收稿日期: 2019-09-02      出版日期: 2020-10-26
:  P631.4  
作者简介: 王亚(1982-),男,安徽亳州人,在读博士,主要从事地震储层预测方面的研究工作。Email: wty_wya@petrochina.com.cn
引用本文:   
王亚, 易远元, 王成泉, 王孟华, 杨洲鹏, 张红文, 王盛亮, 贾敬. 叠后反演技术在杨税务潜山裂缝孔隙型储层预测中的应用[J]. 物探与化探, 2020, 44(5): 1208-1214.
WANG Ya, YI Yuan-Yuan, WANG Cheng-Quan, WANG Meng-Hua, YANG Zhou-Peng, ZHANG Hong-Wen, WANG Sheng-Liang, JIA Jing. The application of post-stack inversion technology to the prediction of fracture and pore reservoir in Yangshuiwu buried hill. Geophysical and Geochemical Exploration, 2020, 44(5): 1208-1214.
链接本文:  
https://www.wutanyuhuatan.com/CN/10.11720/wtyht.2020.1422      或      https://www.wutanyuhuatan.com/CN/Y2020/V44/I5/1208
Fig.1  不同钻井白云岩含量统计
储层
级别		 类型 常规测井响应 成像测井响应
总孔隙度/
%		 电阻率/
(Ω·m)		 电阻差异/
Ω		 裂缝
孔隙度/%		 成像特征 孔隙度谱特征
一类
储层		 裂缝-孔隙型 ≥3 <700 0.2~0.4 >0.002 裂缝、溶孔共生,较发育 孔隙度谱分布宽,呈中孔径分布
裂缝型 2~3 <1000 >0.4 裂缝规模大、连通性好;成组系发育、网状缝发育 谱型分布窄,呈单峰,呈中小孔径分布
二类
储层		 裂缝-孔隙型 ≥3 <1500 0.2~0.4 >0.001 裂缝较发育 谱型展布宽
裂缝型 2~3 <2000 >0.4 裂缝较发育 谱型展布窄,以中小孔径为主
孔隙型 ≥4 <1000 <0.2 裂缝不发育 谱型展布宽,多以大孔径分布
三类
储层		 裂缝-孔隙型 ≤3 1500~3000 <0.2 <0.001 裂缝欠发育 谱型展布窄,以中小孔径为主
裂缝型 2~3 2000~4000 0.2~0.3 裂缝欠发育
Table 1  测井储层评价分类
Fig.2  储层分类与测井曲线交汇
Fig.3  曲线交汇分析
Fig.4  测井约束模型反演连井剖面
a—井1-井2-井3连井反演剖面;b—井5-井4-井W1连井反演剖面
Fig.5  不同储层段一、二类储层总厚度平面
a—峰峰组;b—上马家沟组;c—下马家沟组;d—亮甲山组
储层段 峰峰组 上马家沟组 下马家沟组 亮甲山组
井号 1 2 3 4 5 W1 1 2 3 4 5 W1 1 2 3 4 5 W1 1 2 3 4 5 W1
预测 26.5 60.1 12.3 32.4 35.6 30.8 92.3 27.6 12.1 32.5 26.8 21.6 22.4 43.2 24.3 79.2 25.1 6.9 11.5 22.8 6.9 35.2 17.5
解释 27.8 64.4 12.8 27.8 40 31.2 97.2 28.1 15.4 37.4 31.8 22.2 21.8 40.8 21.8 82.4 24.2 6.4 12.8 23.8 8.4 35.3 19
误差 1.3 4.3 0.5 -4.6 4.4 0.4 4.9 0.5 3.1 4.9 5 0.6 -0.6 -2.4 -2.3 3.2 -0.9 -0.5 1.3 1 1.5 0.1 1.5
Table 2  一、二类储层厚度误差统计
Fig.6  建立孔隙度与波阻抗关系
Fig.7  不同储层段储层孔隙度预测平面
a—峰峰组;b—上马家沟组;c—下马家沟组;d—亮甲山组
储层段 峰峰组 上马家沟组 下马家沟组 亮甲山组
井号 1 2 3 4 5 W1 1 2 3 4 5 W1 1 2 3 4 5 W1 1 2 3 4 5 W1
预测 2.01 3.02 2.8 2.7 2.5 3.3 2.8 3.1 4.2 2.05 3.2 1.8 3.4 1.8
解释 2.09 3.14 2.97 2.95 2.68 3.57 2.6 3.3 4.57 2.21 3.3 1.88 3.59 1.63
误差 0.08 0.12 0.17 0.25 0.18 0.27 -0.2 0.2 0.37 0.16 0 0.1 0.08 0.19 0 0 -0.17
Table 3  预测孔隙度误差统计
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