2019 Vol. 46, No. 5
Article Contents

GUO Rui, HOU Hesheng, FU Wei, YANG Jin, FENG Xuan, LU Zhanwu, ZHOU Huailai. 2019. Q value analysis of deep seismic reflection data of Well SK-2 and its determination of gas-bearing stratum[J]. Geology in China, 46(5): 1137-1145. doi: 10.12029/gc20190514
Citation: GUO Rui, HOU Hesheng, FU Wei, YANG Jin, FENG Xuan, LU Zhanwu, ZHOU Huailai. 2019. Q value analysis of deep seismic reflection data of Well SK-2 and its determination of gas-bearing stratum[J]. Geology in China, 46(5): 1137-1145. doi: 10.12029/gc20190514

Q value analysis of deep seismic reflection data of Well SK-2 and its determination of gas-bearing stratum

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  • Author Bio: GUO Rui, male, born in 1996, master, mainly engages in deep seismic reflection data processing and interpretation research; E-mail: guoruicdut@163.com
  • Corresponding author: HOU Hesheng, male, born in 1980, associate researcher, mainly engages in the study of deep exploration and deep energy perspective analysis; E-mail:hesheng.hou@126.com 
  • When the seismic wave propagates in the underground media, the seismic wave energy will show a certain degree of attenuation. The quality factor Q is an important parameter for measuring the absorption and attenuation properties of the underground rock, and is of great significance for describing the lithological characteristics and predicting the oil and gas distribution. In this paper, the Q value analysis technique based on S transformation ratio method for deep seismic reflection data was developed, and the more accurate Q value was obtained. Taking the Shahezi Formation in the Songliao Basin as the main target layer, the authors calculated the Q value of the post-stack deep seismic reflection profile across Well SK-2, and then generated the Q value profile to summarize Q value distribution characteristics of the Shahezi Formation. The Q value distribution characteristics, combined with the logging, stratification and gas anomaly data of Well SK-2, suggest that the Shahezi Formation is a gas reservoir, and this discovery provides a way for the next deep reservoir prediction. This conclusion provides an idea for the further deep reservoir prediction and can serve the deep geological survey project in Northeast China.

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