Paper
23 February 2023 Gas-bearing property prediction with frequency attenuation attributes of volcanic reservoirs in Anda-Wangjiatun area
Lilan Chu, Dazhi Zhang
Author Affiliations +
Proceedings Volume 12551, Fourth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2022); 125510M (2023) https://doi.org/10.1117/12.2668210
Event: Fourth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2022), 2022, Changchun, China
Abstract
The gas reservoir, which is located in the Anda-Wangjiatun area of the Xujiaweizi fault depression in north of Songliao basin, is one of the huge volcanic reservoirs in deep layer. The reservoir displays a series of characteristics, such as complicated lithology and lithofacies, strong heterogeneity, complicated seismic response and so on. The favorable gas-bearing reservoir prediction is much more difficult. With use of time-frequency analysis technique, which is based on wavelet change, combined with the high and low frequency information in seismic data, the gas-bearing property prediction has been carried out in the volcanic reservoirs of Yingcheng formation, which developed in Anda-Wangjiatun area. Through comparison and analysis of all kinds of geophysical parameters’ response to volcanic reservoir which are rich in natural gas, it indicates that these parameters, such as attenuation gradient, energy percentage, specified the ratio of energy to the corresponding frequency and show a better result. The gas-bearing prediction result in this area is consistent with that of wells. The coincidence rate even reaches to 75%. Three favorable gas-bearing areas have been pointed out, which provides a basis for volcanic gas reservoir exploration.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lilan Chu and Dazhi Zhang "Gas-bearing property prediction with frequency attenuation attributes of volcanic reservoirs in Anda-Wangjiatun area", Proc. SPIE 12551, Fourth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2022), 125510M (23 February 2023); https://doi.org/10.1117/12.2668210
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