Sedimentary evolution of overlapped sand bodies in terrestrial faulted lacustrine basin: Insights from 3D stratigraphic forward modeling |
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| Institution: | 1. China University of Geosciences, Beijing, China;2. Tianjin Branch of China National Offshore Oil Company Ltd, Tianjin 300452, China;3. Jidong Oilfield, PetroChina, China;4. ESSCA Company, China;1. Statoil, Arkitekt Ebbelsvei, No-7053, Ranheim, Norway;2. Statoil, Strandvegen 4, 7500 Stjørdal, Norway;1. College of Earth Sciences, Jilin University, 130061 Changchun, China;2. Key Laboratory of Oil Shale and Coexistent Energy Minerals of Jilin Province, 130061 Changchun, China;3. Key Laboratory for Evolution of Past Life and Environment in Northeast Asia (Jilin University), Ministry of Education, 130026 Changchun, China;4. China National Offshore Oil Corporation (Tianjin Branch), 300452 Tianjin, China;5. Daqing Oil Field Company, 163113 Daqing, China;1. Bureau of Economic Geology, Jackson School of Geosciences, The University of Texas at Austin, Austin, TX 78713, USA;2. BASA Resources Inc., Dallas, TX, USA;1. Qatar Carbonate and Carbon Storage Research Centre and Department of Earth Science and Engineering, Imperial College London, Prince Consort Road, London, SW7 2BP, UK;2. GeoEnergy Research Centre and School of Chemistry, University of Nottingham, University Park, NG9 2RD, Nottingham, UK;3. Bloomsbury Environmental Isotope Facility, UCL Earth Sciences, University College London, Gower Street, London, WC1E 6BT, UK;4. Royal Holloway University of London, Dept. of Earth Science, Egham Hill, TW20 0EX, UK;1. Key Laboratory of Petroleum Resources Research, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China;2. University of Chinese Academy of Sciences, Beijing 100049, China;3. School of Geosciences, China University of Petroleum (East China), Qingdao 266580, China;4. SINOPEC Petroleum Exploration & Production Research Institute, Beijing 100083, China;1. PetroChina Jidong Oilfield Company, Tangshan 063004, China;2. Research Institute of Exploration and Development, PetroChina Jidong Oilfield Company, Tangshan 063004, China |
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| Abstract: | Terrestrial faulted lacustrine basins usually have large variabilities in structural subsidence and multiple river sources. The facies in such basins are thus characterised by frequently changed facies and complex relationship of overlapped sand bodies (e.g. Liaoxi Depression of Liaodong Bay, Bohai Sea, China). Therefore, it's a great challenge to quantitatively describe evolution of sand bodies and their overlap relationship. In this study a three-dimensional stratigraphic forward model is used to solve this problem, which is corrected according to well log data. After the parameter optimization was verified against borehole strata thickness and lithology, this model had a thickness error within 8%, and the lithology distribution agreed with the well data as a whole.Four evolution phases of the Shahejie 3 Formation were recognised through the modeling. In the first phase, the lake level rose, and the eastern fan delta sand developed. In the second phase, the fan delta sand scaled up, and the braided river delta front sand developed at a small scale. In the third phase, the lake level shifted from falling to rising, the fan delta sand further expanded the scale, and the braided river delta developed at a large scale. Sands on both sides overlapped at a large scale. In the fourth phase, the lake level rose, the lake basin expanded, and lake shale was the main lithology in the study area. From the sedimentary evolution of Es3 formation, sand overlapped in the third stage. In 39.75 Ma, two parts of the sand body began to overlap and reached largest scale in 39.6 Ma, which was approximately 10 km2. Both then retrograded to a separation in 39 Ma when the overlap ended.Coupling stratigraphic forward simulation with uncertainty quantification allowed us to estimate the influence of each stratigraphic parameter on sand overlap. Fluvial discharge appears to be the most influential parameter while the initial bathymetry and lake level variations exert a minor to moderate impact. |
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| Keywords: | Initial bathymetry Source supply Sand overlap Stratigraphic forward model Dionisos Uncertainty of parameters Sensibility of parameters |
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