Machine-learning crystal size distribution for volcanic stratigraphy correlation by Martin Jutzeler, Rebecca J. Carey, Yasin Dagasan, Andrew McNeill, Ray A. F. Cas

“…Abstract Volcanic stratigraphy reconstruction is traditionally based on qualitative facies analysis complemented by geochemical analyses. …”
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Upper Oligocene to Pleistocene planktonic foraminifera stratigraphy at North Atlantic DSDP Site 407, Reykjanes Ridge: diversity trends and biozonation using modern Neogene taxonomi... by T. M. Weitkamp, T. M. Weitkamp, M. J. Razmjooei, M. J. Razmjooei, P. N. Pearson, H. K. Coxall, H. K. Coxall

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Quantitative Prediction of Natural Fractures in Shale Oil Reservoirs by Lei Gong, Shuai Gao, Bo Liu, Jianguo Yang, Xiaofei Fu, Fei Xiao, Xiaocen Su, Rongzhi Fu, Qi Lu

“…Then, the number and density of fractures are quantitatively predicted according to the power-law distribution of fault length. …”
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Natural sampling and aliasing of marine geochemical signals by Andrew Curtis, Hugo Bloem, Rachel Wood, Fred Bowyer, Graham A. Shields, Ying Zhou, Mariana Yilales, Daniel Tetzlaff

“…Without absolute age constraints of sufficient resolution, the temporal correlation of spatially disjunct records is therefore problematic and uncertain, but these effects have rarely been analysed quantitatively using signal processing methods. Here we use a computational process model to illustrate and analyse how spatial and temporal geochemical records can be biased by the inherent, heterogenous processes of marine sedimentation and preservation. …”
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