The application of seismic meme inversion to thin sand distribution prediction under coal shield
Yan-Hu CHEN1,2, Jia CHEN3
1. School of Earth Science and Resource,China University of Geosciences (Beijing),Beijing 100083,China 2. PEGETE Group Inc,Beijing 100101,China 3. Cores and Samples Center of Natural Resources,Langfang 065201,China
It is difficult to predict the thin sand beneath the coal seam because of the influence of the strong shield.It is difficult for conventional wavelet decomposition techniques to decompose stable wavelet sets,and even the decomposed wavelet sets have no definite geological significance.In this paper,a new seismic meme inversion is proposed,which uses the similarity of seismic waveforms as an indicator factor to drive broadband logging curve simulation and realize high resolution inversion.Firstly,the dynamic clustering analysis of seismic waveform is realized by singular value decomposition,and the sample set of seismic waveform and well curve characteristics is established.Then the common structure in the sample is determined as the initial model in the wavelet domain,and the inversion results with high resolution are obtained by modifying the initial model according to the inversion of the actual seismic waveform structure under the constraint of the Bayesian framework.Through forward modeling and Jurassic case study in Junggar Basin,it is concluded that seismic meme inversion overcomes the limitation of seismic vertical resolution and can better predict thin sand affected by strong shield.Seismic meme inversion provides a new way for predicting thin sand affected by coal shield in Jurassic in Junggar Basin,Ordos Basin and Turpan-Hami Basin.It has a wide range of applications and important practical significance.
Gu W, Zhang X, Xu M , et al. High precision prediction of thin reservoir under strong shielding effect and its application: a case study from Sanzhao Depression,Songliao Basin[J]. Geophysical Prospecting for Petroleum, 2017,56(3):439-448.
Zhao S, Li Z D, Xu H M , et al. Using multiple wavelet decomposition technique to detect the sandstone reservoir with coal layer[J]. Natural Gas Industry, 2007,27(9):44-47,131.
She G, Zhou X Y, Wang J B . Prediction of sand reservoir with multi-wavelet seismic trace decomposition and reconstruction[J]. Journal of Southwest Petroleum University, 2013,35(1):19-27.
Xie C L, Huang W, Guan X W , et al. Thin sand identification under strong reflection with volume-based waveform decomposition[J]. OGP, 2017,52(3):516-520.
Qi Y, Liang J S, Liu Y H , et al. Coal measures stratigraphic reservoir seismic prediction technology applied in Tai2 segment in Linxing gas filed in Ordos basin[J]. Geological Science and Technology Information, 2018,27(1):252-257.
Wang B J, Zhang Y C, Wang D X , et al. Predicting and detecting of the thin sand bodies by general transform in coal-bearing strata[J]. Progress in Geophysics, 2012,27(3):1219-1226.
Zhang X, Zhang B J, Liang H , et al. The application of pre-stack inversion based on seismic waveform indicator to the prediction of compact and thin oil-bearing sand layer[J]. Geophysical and Geochemical Exploration, 2018,42(3):545-554.
Guo P, Yuan Y J, Liu X W , et al. Inversion method based on high-resolution waveform and its application on predicting sweet spots:an example from shale gas reservoirs in Jiaoshiba area of Sichuan Basin[J]. Geoscience, 2018,32(2):406-414.
Gu W, Xu M, Wang D H , et al. Application of seismic motion inversion technology in thin reservoir prediction:A case study of the thin sandstone gas reservoir in the B area of Junggar Basin[J]. Natural Gas Geoscience, 2016,27(11):2064-2069.
Hu W, Qi P, Yang J F , et al. Application of waveform indication inversion in thin reservoirs of ultra-deep dense sandstone[J]. Progress in Geophysics, 2018,33(2):620-624.
Yang W . Well-seismic combined reservoir predicting method based on the waveform indication inversion and its application[J]. Petroleum Geology & Oilfield Development in Daqing, 2018,37(3):137-144.
Wang C Y, Zheng Y C, Wang J G , et al. Sedimentary characteristics and evolution of Badaowan Formation of Lower Jurassic in northwest margin of Junggar Basin[J]. Lithologic Reservoirs, 2008,20(2):37-42.
Wang Y, Peng J, Zhao R . Tentative discussions on depositional facies model of braided stream in the Northwestern Margin,Junggar Basin:a case of braided stream deposition of Badaowan Formation,Lower Jurassic in No.7 Area[J]. Acta Sedimentologica Sinica, 2012,30(2):264-273.
Hou G F, Wu A C, Zou Z W , et al. Depositional characteristics and models of braided river delta in Badaowan Formation of Mahu Sag,Junggar Basin[J]. Xinjiang Petroleum Geology, 2017,38(6):678-685.