Volume 40 Issue 5
May  2021
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Canping Li, Jiachun You, Yanchun Tan, Fengying Chen, Yilin Liu, Zihao Guo, Xinyu Tian. Forward modeling and inversion of the relation model between the gas content of plume and its seismic attribute[J]. Acta Oceanologica Sinica, 2021, 40(5): 120-128. doi: 10.1007/s13131-021-1737-y
Citation: Canping Li, Jiachun You, Yanchun Tan, Fengying Chen, Yilin Liu, Zihao Guo, Xinyu Tian. Forward modeling and inversion of the relation model between the gas content of plume and its seismic attribute[J]. Acta Oceanologica Sinica, 2021, 40(5): 120-128. doi: 10.1007/s13131-021-1737-y

Forward modeling and inversion of the relation model between the gas content of plume and its seismic attribute

doi: 10.1007/s13131-021-1737-y
Funds:  The Innovation and Enhancing School Project of Guangdong Ocean University under contract No. 230419096; the Joint Research on Exploration and Development Technology of Natural Gas Hydrate under contract No. 2018YFE0208200; the Teaching Team Project of Guangdong Ocean University under contract No. 570220033; the National Natural Science Fundation of China under contract Nos 42004103 and 41306050; the Fund of Southern Marine Science and Engineering Guangdong Laboratory (Zhanjiang) under contract No. ZJW-2019-08.
More Information
  • Corresponding author: E-mail: pipihll@126.com
  • Received Date: 2020-03-05
  • Accepted Date: 2020-10-29
  • Available Online: 2021-04-20
  • Publish Date: 2021-05-01
  • 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.
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