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| 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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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.
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Received: 02 September 2019
Published: 26 October 2020
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Statistical map of dolomite content in different wells
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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 | |
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Log reservoir evaluation classification table
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Intersection diagram of reservoir classification and logging curve
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Curve intersection analysis diagram
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Multiwell profile of logging constraint model inversion
a—well 1-well 2-well 3 continuous well inversion profile;b—well 5-well 4-well W1 continuous well inversion profile
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Total thickness plane of class I and II in different reservoir segments
a—Fengfeng group;b—upper Majiagou group;c—lower Majiagou group;d—Liangjiashan group
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| 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 |
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Statistical table of total reservoir thickness of class I and IIm
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Relationship between porosity and wave impedance
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The plane of peservoir porosity prediction in different reservoir segments
a—Fengfeng group;b—upper Majiagou group;c—lower Majiagou group;d—Liangjiashan group
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| 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 |
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Error statistics for predicting porosity%
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