What is seismic sedimentology? A tutorial

2018 ◽  
Vol 6 (2) ◽  
pp. SD1-SD12 ◽  
Author(s):  
Hongliu Zeng

I have developed an alternative narrative of seismic sedimentology from a geologist’s perspective. Seismic sedimentology is a high-resolution supplement for traditional, low-resolution seismic stratigraphy, reflecting the fact that seismic responds to sedimentary bodies differently at low and high resolution. Seismic stratigraphy is a model-driven method that follows the principles of field geology and the well-based study of subsurface sedimentology, and it assumes that seismic reflections can duplicate geologic correlations. Seismic sedimentology is a more data-driven approach based on the understanding of how a seismic signal responds to thin-bedded depositional elements in the context of stratigraphy, which is a function of thickness, lithology-impedance model, wavelet phase, and frequency. Seismic sedimentology is focused on mapping seismic litho-geomorphologic facies, by joint investigation of seismic lithology and seismic geomorphology. In such an investigation, seismic lithology and seismic geomorphology are complementary, making more complete use of seismic information, and they can be more powerful in determining the sedimentary environment and reservoir quality. To reduce the knowledge gap between sedimentary geologists and seismic geophysicists, sedimentologists have to learn and master geophysical principles and techniques. To begin with, a simplified four-step workflow is recommended, which can be summarized as select-adjust-decompose-blend.

AAPG Bulletin ◽  
2011 ◽  
Vol 95 (11) ◽  
pp. 1959-1990 ◽  
Author(s):  
Hernán M. Reijenstein ◽  
Henry W. Posamentier ◽  
Janok P. Bhattacharya

2004 ◽  
Vol 211 (1-2) ◽  
pp. 45-78 ◽  
Author(s):  
Astrid Lyså ◽  
Hans Petter Sejrup ◽  
Inge Aarseth

Sensors ◽  
2021 ◽  
Vol 21 (2) ◽  
pp. 464
Author(s):  
Wei Ma ◽  
Sean Qian

Recent decades have witnessed the breakthrough of autonomous vehicles (AVs), and the sensing capabilities of AVs have been dramatically improved. Various sensors installed on AVs will be collecting massive data and perceiving the surrounding traffic continuously. In fact, a fleet of AVs can serve as floating (or probe) sensors, which can be utilized to infer traffic information while cruising around the roadway networks. Unlike conventional traffic sensing methods relying on fixed location sensors or moving sensors that acquire only the information of their carrying vehicle, this paper leverages data from AVs carrying sensors for not only the information of the AVs, but also the characteristics of the surrounding traffic. A high-resolution data-driven traffic sensing framework is proposed, which estimates the fundamental traffic state characteristics, namely, flow, density and speed in high spatio-temporal resolutions and of each lane on a general road, and it is developed under different levels of AV perception capabilities and for any AV market penetration rate. Experimental results show that the proposed method achieves high accuracy even with a low AV market penetration rate. This study would help policymakers and private sectors (e.g., Waymo) to understand the values of massive data collected by AVs in traffic operation and management.


2018 ◽  
Vol 2 (4) ◽  
pp. 174-182 ◽  
Author(s):  
Lina Liliana Osorio ◽  
Darlly Erika Silva dos Reis ◽  
René Rodrigues

The use of aromatic steroids in geochemical studies is almost absent in Brazilian sedimentary basins. For this reason, it is intended to test the application of these compounds in high-resolution stratigraphy in the relatively well known Lower Permian Irati Formation. The Irati Formation is about 40 meters thick. It is thermally immature, and comprise two lithological distinct members: the lower siliciclastic Taquaral Member and the upper calcareous-siliciclastic Assistência Member. Based on the whole rock data, mostly TOC, total sulfur, Rock-Eval pyrolysis and alkanes biomarkers, was possible to split the Irati Formation into seven chemostratigraphic units, named from A to C in the Taquaral Member and from D to G in the Assistência Member. Each of these units represents: distinct inputs of land derived organic matter type (chemostratigraphic units C and F) and/or; the response of living organisms to salinity changing of the water system (chemostratigraphic unit D) and; anoxia (chemostratigraphic unit E) during sedimentation. The methodology applied in this work can be used in other sedimentary basins but considering the lithology and sedimentary environment particularities.


2016 ◽  
Vol 378 ◽  
pp. 361-373 ◽  
Author(s):  
Marga García ◽  
Francisco J. Lobo ◽  
Andrés Maldonado ◽  
F. Javier Hernández-Molina ◽  
Fernando Bohoyo ◽  
...  

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