Subtle trap recognition based on seismic sedimentology - A case study from Shengli Oilfield
Huang Handong1,2, Zhang Ruwei1,2, Luo Qun3, Zhao Di1,2, and Peng Yongmin3
1. State Key Lab of Petroleum Resource and Prospecting, China University of Petroleum, Beijing 102249, China.
2. Beijing Key Laboratory of Earth Prospecting and Information Technology, Beijing 102249, China.
3. Research Center of Basin and Reservoir, China University of Petroleum (Beijing), Beijing 102249, China.
Abstract：
Seismic sedimentology is the study of sedimentary rocks and facies using seismic data. However, often the sedimentary body features can’t be described quantitatively due to the limit of seismic resolution. High resolution inversion offsets this limitation and is applied to seismic sedimentology to identify subtle traps under complex geologic conditions, thereby widening the applicable range of seismic sedimentology. In this paper, based on seismic sedimentology, seismic phase-controlled nonlinear random inversion is used to predict the sandy conglomerate reservoir of Es3 in the Chezhen depression in Shengli Oilfield. Thickness and sedimentary microfacies maps of sandy conglomerate bodies in several stages are presented and several subtle traps were predicted and verified by drilling.
HUANG Han-Dong,ZHANG Ru-Wei,LUO Qun et al. Subtle trap recognition based on seismic sedimentology - A case study from Shengli Oilfield[J]. APPLIED GEOPHYSICS, 2009, 6(2): 175-183.
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2009, Vol. 6 
