Application of Wavelet Analysis in Identification of Tight Sandstone Gas Reservoirs
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摘要: 致密砂岩储层孔隙度低、渗透率低、非均质性强，气层所对应的测井响应特征较为复杂，气层识别和评价难度较大，多解性突出.以三水模型、岩心、地质和试气资料为基础，采用能量谱峰值与能量加权累计法定量分析致密砂岩气层的电阻率与自由流体孔隙度组合曲线的小波多尺度能谱特征，以及小波包能量谱特征.组合曲线的多尺度小波能量谱分析方法在致密砂岩气层识别中气层的能量谱与水层的能量谱明显不同，并用其识别苏里格地区的致密砂岩气层.结果表明识别致密砂岩气层能量加权累计法定量分析比小波能量峰分析效果更好.Abstract: With the characteristics such as low porosity, low permeability, strong heterogeneity, tight sandstone, and complexlogging response of tight sandstone reservoirs, the gas identification and evaluation are difficult with multiple solutions. The peak energy and a weighted cumulative quantitative are applied in the paper to analyze features of multi-scale wavelet and wavelet packet analysis based on three-water model, cores, geological and gas test data in tight sandstone gas reservoirs. Then the appropriate method of multi-scale wavelet energy spectrum of tight sandstone gas reservoirsis selected to identify tight sandstone gas in Sulige region, which achieved good effect.
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图 2 X69井三水处理孔隙度与岩心核磁孔隙度对比
Fig. 2. The comparison of three-water-porosity and core NMR porosity in X69 well
图 5 气层段(a, b)和水层段(c, d)能量谱
a, c.多尺度分析；b, d.小波包分析
Fig. 5. The energy spectrum of gas layers (a, b) and water layers (c, d)
图 6 10个气层段(a, b)和6个水层段(c, d)能量加权累计谱
a, c.多尺度分析；b, d.小波包分析
Fig. 6. The energy weighted cumulative spectrum of ten gas layers (a, b) and six water layers (c, d)
图 7 X128井3 612~3 614 m段的测井曲线
Fig. 7. Well logging curve of 3 612 to 3 614 m in X128 well
图 8 多尺度小波分析处理X128成果
Fig. 8. The multi-scale wavelet analysis and processing result of X128 well
图 9 X141井3 545.4~3 547.4 m段的测井曲线
Fig. 9. Well logging curve of 3 545.4 to 3 547.4 m in 141 well
图 10 多尺度小波分析处理X141成果
Fig. 10. The multi-scale wavelet analysis and processing result of X141 well
图 11 X60井多尺度能谱处理成果综合图
Fig. 11. The complex chart of multi-scale energy spectrum analysis results of X60 well
表 1 小波能谱分析2个最大能量的尺度值统计
Table 1. The statistics of the two largest energy scale of the wavelet energy spectrum analysis
类型 层号 多尺度小波能谱 小波包能谱 第1 第2 第1 第2 气层 1 5 2 5 4 2 4 3 4 5 3 3 4 4 5 4 5 2 5 4 5 4 2 5 4 6 5 3 5 4 7 5 3 6 5 8 5 2 5 4 9 5 4 5 4 10 5 3 5 4 水层 1 4 3 5 4 2 5 4 5 4 3 5 3 5 4 4 4 2 5 4 5 3 2 5 4 6 4 5 5 4 
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表 2 多尺度应用4个示例层统计
Table 2. Four samples level statistics of the multi-scale ications
井名 射孔井段
(m)RLLD
(Ω·m)GR
(API)AC
(US/M)CNL
(%)DEN
(g/cm3)φf
(%)日产气
(m3)日产水
(m3)试气结论 主峰尺度 能量累计总值 X128 3 612~3 614 33.66 53.4 229.90 11.28 2.57 8.42 0 22.0 水层 4 0.42 X123 3 643~3 645 23.26 59.3 227.18 13.02 2.54 7.75 11 431 0 气层 5 0.91 X84 3 560~3 562 63.99 53.6 206.25 6.31 2.57 5.57 15 230 0 气层 4 1.92 X141 3 545~3 547 29.74 57.2 245.18 10.52 2.55 10.64 11 302 / 气层 5 2.35
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