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Ahead of Print Abstract
AAPG Bulletin, Preliminary version published online
Copyright © 2025. The American Association of Petroleum Geologists. All rights reserved.
DOI:10.1306/11182524064
Improving the mapping of thin-bedded facies in a shallow late Miocene delta (Bohai Offshore Basin, China) with enhanced seismic sedimentology
Hao Liu12 , A.J. (Tom) van Loon3 , Changgui Xu4 , Xiaofeng Du5 , and Kui Wu5
1 School of Ocean Sciences, China University of Geosciences (Beijing), Beijing 100083, China
2 Key Laboratory of Polar Geology and Marine Mineral Resources (China University of Geosciences, Beijing), Ministry of Education, Beijing, 100083, China
3 College of Earth Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, Shandong, China
4 China National Offshore Oil Corporation, Beijing 100010, China
5 Research Institute of China National Offshore Oil Corporation, Beijing 100027, China
Ahead of Print Abstract
quantitative
relationship between sand content and seismic amplitude through lithofacies, sedimentary microfacies analysis, and forward modeling. Furthermore, we utilize common seismic attributes to interpret the thin-bedded lithology and to map the sedimentology. Taking the BZ29 block as an example, we subdivided the lower member of the Minghuazhen Formation into ten para-sequence sets and six lithofacies. Based on the selection of 50 samples from representative para-sequence sets, we established, through the calculation of sand content, one-dimensional forward modeling and normalization of the amplitude, a strong exponential relationship (R-square = 0.85) between sand content and amplitude. The interpretations of thin-bedded lithology indicate that shallow deltas are dominated by distributary channel sands, which are potentially good reservoirs, and that the consistency of the sandstone predictions is high. The objectives of our seismic lithology workflow are to establish an intrinsic relationship between sand content and amplitude if the sandstone thickness is less than the tuning thickness, and to utilize post-stack seismic attributes for thin-bedded lithology prediction and sedimentological mapping. Despite certain limitations
, this method has promising advantages for the prediction of thin-bedded reservoirs in different depositional environments.
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