AVO (Amplitude variation with offset) technology is widely used in gas hydrate research. BSR (Bottom simulating reflector), caused by the huge difference in wave impedance between the hydrate reservoir and the underly...AVO (Amplitude variation with offset) technology is widely used in gas hydrate research. BSR (Bottom simulating reflector), caused by the huge difference in wave impedance between the hydrate reservoir and the underlying free gas reservoir, is the bottom boundary mark of the hydrate reservoir. Analyzing the AVO attributes of BSR can evaluate hydrate reservoirs. However, the Zoeppritz equation which is the theoretical basis of conventional AVO technology has inherent problems: the Zoeppritz equation does not consider the influence of thin layer thickness on reflection coefficients;the approximation of the Zoeppritz equation assumes that the difference of wave impedance between the two sides of the interface is small. These assumptions are not consistent with the occurrence characteristics of natural gas hydrate. The Brekhovskikh equation, which is more suitable for thin-layer reflection coefficient calculation, is used as the theoretical basis for AVO analysis. The reflection coefficients calculated by the Brekhovskikh equation are complex numbers with phase angles. Therefore, attributes of the reflection coefficient and its phase angle changing with offset are used to analyze the hydrate reservoir's porosity, saturation, and thickness. Finally, the random forest algorithm is used to predict the reservoir porosity, hydrate saturation, and thickness of the hydrate reservoir. In the synthetic data, the inversion results based on the four attributes of the Brekhovskikh equation are better than the conventional inversion results based on the two attributes of Zoeppritz, and the thickness can be accurately predicted. The proposed method also achieves good results in the application of Blake Ridge data. According to the method proposed in this paper, the hydrate reservoir in the area has a high porosity (more than 50%), and a medium saturation (between 10% and 20%). The thickness is mainly between 200m and 300m. It is consistent with the previous results obtained by velocity analysis.展开更多
煤层顶板砂岩富水性预测是有待解决的重要问题。以实际测井曲线数据为输入,利用Gassmann方程和AVO(Amplitude Variation with Offset)技术探讨煤层顶板砂岩富水性的预测方法。首先,利用实际测井曲线计算顶板砂岩的纵波速度、孔隙度和泥...煤层顶板砂岩富水性预测是有待解决的重要问题。以实际测井曲线数据为输入,利用Gassmann方程和AVO(Amplitude Variation with Offset)技术探讨煤层顶板砂岩富水性的预测方法。首先,利用实际测井曲线计算顶板砂岩的纵波速度、孔隙度和泥质含量;其次,以Han经验公式为基础,曲面拟合纵波速度、孔隙度和泥质含量间的关系式,并导出砂岩骨架纵波速度;再次,利用Castagna经验公式计算砂岩骨架的横波速度,并建立14种顶板砂岩模型;最后,利用Gassmann方程进行流体替换,计算各模型的纵横波速度和密度,从而正演模拟顶板砂岩的AVO响应。结合理论分析和实例预测,发现截距–梯度交会图可以区分砂岩孔隙度和干湿性,是顶板砂岩富水性预测的一种有效手段。展开更多
基金The research is funded by the National Natural Science Foundation of China(No.12171455)the Original Innovation Research Program of the Chinese Academy of Sciences(CAS)under grant number ZDBS-LY-DQC003the Key Research Programs IGGCAS-2019031.
文摘AVO (Amplitude variation with offset) technology is widely used in gas hydrate research. BSR (Bottom simulating reflector), caused by the huge difference in wave impedance between the hydrate reservoir and the underlying free gas reservoir, is the bottom boundary mark of the hydrate reservoir. Analyzing the AVO attributes of BSR can evaluate hydrate reservoirs. However, the Zoeppritz equation which is the theoretical basis of conventional AVO technology has inherent problems: the Zoeppritz equation does not consider the influence of thin layer thickness on reflection coefficients;the approximation of the Zoeppritz equation assumes that the difference of wave impedance between the two sides of the interface is small. These assumptions are not consistent with the occurrence characteristics of natural gas hydrate. The Brekhovskikh equation, which is more suitable for thin-layer reflection coefficient calculation, is used as the theoretical basis for AVO analysis. The reflection coefficients calculated by the Brekhovskikh equation are complex numbers with phase angles. Therefore, attributes of the reflection coefficient and its phase angle changing with offset are used to analyze the hydrate reservoir's porosity, saturation, and thickness. Finally, the random forest algorithm is used to predict the reservoir porosity, hydrate saturation, and thickness of the hydrate reservoir. In the synthetic data, the inversion results based on the four attributes of the Brekhovskikh equation are better than the conventional inversion results based on the two attributes of Zoeppritz, and the thickness can be accurately predicted. The proposed method also achieves good results in the application of Blake Ridge data. According to the method proposed in this paper, the hydrate reservoir in the area has a high porosity (more than 50%), and a medium saturation (between 10% and 20%). The thickness is mainly between 200m and 300m. It is consistent with the previous results obtained by velocity analysis.
文摘煤层顶板砂岩富水性预测是有待解决的重要问题。以实际测井曲线数据为输入,利用Gassmann方程和AVO(Amplitude Variation with Offset)技术探讨煤层顶板砂岩富水性的预测方法。首先,利用实际测井曲线计算顶板砂岩的纵波速度、孔隙度和泥质含量;其次,以Han经验公式为基础,曲面拟合纵波速度、孔隙度和泥质含量间的关系式,并导出砂岩骨架纵波速度;再次,利用Castagna经验公式计算砂岩骨架的横波速度,并建立14种顶板砂岩模型;最后,利用Gassmann方程进行流体替换,计算各模型的纵横波速度和密度,从而正演模拟顶板砂岩的AVO响应。结合理论分析和实例预测,发现截距–梯度交会图可以区分砂岩孔隙度和干湿性,是顶板砂岩富水性预测的一种有效手段。
