The methane bubble plume attracts interest because it offers direct evidence of seafloor gas leakage and plays an indirect role in the exploration and identification of natural gas hydrate. In this study, based on established plume models and their migration sections, three amplitude-class attributes were extracted from three formations for the migration sections of five plumes, and the correlation between the gas content and seismic attribute was obtained. As the gas content increases, the amplitude attribute correspondingly increases, and the linear correlation is relatively good. Moreover, correlation coefficients between gas content and amplitude attributes are close to 1.0. By using linear fitting, the relation model between the gas content of the plume and the seismic attribute was obtained. The relation model was subsequently used to invert the gas content from a real data-bearing plume. Comparison of the gas content section of the plume with the attribute section and real seismic section reveals common distribution characteristics, namely, the color of the section in the lower right corner is dark. If the amplitude value is large in the seismic section of the real plume, the amplitude attribute value is also large in the corresponding attribute section, and the inverted value of the gas content is also large (because gas content and amplitude are linearly correlated), which indicates that the plume bubbles of the section in the lower right corner is intensively distributed. Finally, the obtained gas content section of the plume can reflect the distribution of the plume bubble content more simply and intuitively, from which the distribution law of seafloor bubbles can be deduced, and this lays a foundation for the further estimation of the gas content of the plume and hydrate reserves.

甲烷气泡羽流引起了人们的兴趣，因为它提供了海底气体泄漏的直接证据，并在天然气水合物的勘探和识别中起间接作用。本研究基于已建立的羽流模型及其迁移剖面，对5个羽流的迁移剖面，从3个地层中提取3个振幅级属性，得到含气量与地震属性的相关性。随着含气量的增加，振幅属性也相应增加，线性相关性较好。此外，含气量与振幅属性的相关系数接近1.0。通过线性拟合，得到了烟羽含气量与地震属性的关系模型。随后使用关系模型从真实的数据承载羽流中反演气体含量。羽流含气剖面与属性剖面和真实地震剖面的对比揭示了共同的分布特征，即右下角剖面颜色较深。如果真实羽流地震剖面的振幅值较大，则对应属性剖面的振幅属性值也较大，含气量的反演值也较大（因为含气量与振幅呈线性相关），说明右下角断面羽状气泡密集分布。最后，得到的羽流含气截面可以更简单直观地反映羽流气泡含量的分布情况，