It appears you don't have support to open PDFs in this web browser. To view this file, Open with your PDF reader
Abstract
Estimation of base level changes in geological records is an important topic for petroleum geologists. Taking the Paleocene Upper Lingfeng Member of Lishui Sag as an example, this paper conducted a base level reconstruction based on Basin Filling Modelling (BFM). The reconstruction was processed on the ground of a previously interpreted seismic stratigraphic framework with several assumptions and simplification. The BFM is implemented with a nonlinear diffusion equation solver written in R coding that excels in shallow marine stratigraphic simulation. The modeled results fit the original stratigraphy very well. The BFM is a powerful tool for reconstructing the base level, and is an effective way to check the reasonableness of previous interpretations. Although simulation solutions may not be unique, the BFM still provides us a chance to gain some insights into the mechanism and dynamic details of the stratigraphy of sedimentary basins.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Details
1 Qingdao University of Science and Technology, College of Electromechanics, Qingdao, China (GRID:grid.412610.0) (ISNI:0000 0001 2229 7077); Qingdao University of Science and Technology, Geo-Energy Research Institute, Qingdao, China (GRID:grid.412610.0) (ISNI:0000 0001 2229 7077)
2 Qingdao University of Technology, School of Science, Qingdao, China (GRID:grid.412609.8) (ISNI:0000 0000 8977 2197)
3 Beijing Normal University, Department of Geography, Beijing, China (GRID:grid.20513.35) (ISNI:0000 0004 1789 9964)
4 King Abdullah University of Science and Technology, Jeddah, Saudi Arabia (GRID:grid.45672.32) (ISNI:0000 0001 1926 5090)