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A two day meeting convened by Graham Williams (University of Keele) and Angela Dobb (Mobil North Sea Ltd) was held at the Geological Society in London on 6 and 7 February 1991. The aim of the meeting was to address the problems of the interaction between eustacy, sediment supply rate and tectonics in seismically imaged basin sequences. The meeting discussed the importance of tectonics in generating recognizable sequence boundaries on both a regional and local scale. It was felt that eustacy as the dominant factor in controlling basin stratigraphy has been overplayed in the past. There were 190 participants at the conference representing the oil industry and academia. Some 21 oral presentations were given covering theoretical aspects of sequence stratigraphy, numerical modelling and field analogues. Case histories from Europe, North America, Africa and the UK were presented. Basin scale numerical modelling In the simplest case stratigraphy in extensional basins and passive margins may be subdivided into pre-, syn- and post-rift sequences representing stratigraphic fill related to a single rifting event. A widely recognized unconformity or megasequence boundary between syn- and post-rift sequences is referred to as the ‘breakup unconformity’. Numerical modelling on a basin scale in extensional regimes has been carried out by M. J. Newall and N. J. Kusznir (Shell Research, Liverpool) who concentrated on the post-rift subsidence history and palaeobathymetric evolution of Snorre, Magnus and other areas of the northern North Sea Basin. Subsidence resulting from thermal effects, compaction and sediment loading has been numerically modelled using flexural
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 52 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |