CARBONATE CEMENTS AS A TOOL FOR FLUID FLOW RECONSTRUCTION: A STUDY IN PARTS OF THE EASTERN ALPS (AUSTRIA, GERMANY, SLOVENIA)

1997 ◽  
pp. 167-181 ◽  
Author(s):  
STEFAN ZEEH ◽  
UWE WALTER ◽  
JOACHIM KUHLEMANN ◽  
UROS HERLEC ◽  
EDDY KEPPENS ◽  
...  
Keyword(s):  
Fluid Flow ◽  
Eastern Alps ◽  
Carbonate Cements ◽  
Flow Reconstruction

3D Fluid Flow Reconstruction Using A Compact Light Field Camera

2021 ◽  
Author(s):  
Yuqi Ding ◽  
Zhong Li ◽  
Yu Ji ◽  
Jingyi Yu ◽  
Jinwei Ye
Keyword(s):  
Fluid Flow ◽  
Light Field ◽  
Flow Reconstruction

Machine learning for fluid flow reconstruction from limited measurements

2021 ◽  
pp. 110733
Author(s):  
Pierre Dubois ◽  
Thomas Gomez ◽  
Laurent Planckaert ◽  
Laurent Perret
Keyword(s):  
Machine Learning ◽  
Fluid Flow ◽  
Flow Reconstruction

Fluid flow reconstruction modeling with application to liquid molding processes

1999 ◽  
Vol 20 (6) ◽  
pp. 809-817 ◽  
Author(s):  
Shawn M. Walsh ◽  
Colin E. Freese
Keyword(s):  
Fluid Flow ◽  
Flow Reconstruction ◽  
Liquid Molding

scholarly journals Shallow neural networks for fluid flow reconstruction with limited sensors

2020 ◽  
Vol 476 (2238) ◽  
pp. 20200097 ◽  
Author(s):  
N. Benjamin Erichson ◽  
Lionel Mathelin ◽  
Zhewei Yao ◽  
Steven L. Brunton ◽  
Michael W. Mahoney ◽  
...  
Keyword(s):  
Fluid Flow ◽  
Flow Field ◽  
Measurement Data ◽  
Estimation Method ◽  
Data Driven ◽  
Superior Performance ◽  
High Dimensional ◽  
Approximation Techniques ◽  
Flow Reconstruction ◽  
Monitoring Technologies

In many applications, it is important to reconstruct a fluid flow field, or some other high-dimensional state, from limited measurements and limited data. In this work, we propose a shallow neural network-based learning methodology for such fluid flow reconstruction. Our approach learns an end-to-end mapping between the sensor measurements and the high-dimensional fluid flow field, without any heavy preprocessing on the raw data. No prior knowledge is assumed to be available, and the estimation method is purely data-driven. We demonstrate the performance on three examples in fluid mechanics and oceanography, showing that this modern data-driven approach outperforms traditional modal approximation techniques which are commonly used for flow reconstruction. Not only does the proposed method show superior performance characteristics, it can also produce a comparable level of performance to traditional methods in the area, using significantly fewer sensors. Thus, the mathematical architecture is ideal for emerging global monitoring technologies where measurement data are often limited.

scholarly journals Recognition and Interpretation of Polygenic Discontinuity Surfaces in the Middle Cretaceous Shu’aiba, Nahr Umr, and Natih Formations of Northern Oman

GeoArabia ◽  
2000 ◽  
Vol 5 (2) ◽  
pp. 299-322 ◽  
Author(s):  
Adrian Immenhauser ◽  
Anouk Creusen ◽  
Mateu Esteban ◽  
Hubert B. Vonhof
Keyword(s):  
Fluid Flow ◽  
Sea Level ◽  
Iron Oxides ◽  
Pore Space ◽  
Carbonate Reservoir ◽  
Reservoir Rocks ◽  
Subaerial Exposure ◽  
Carbonate Cements ◽  
Discontinuity Surfaces ◽  
Exposure Stage

ABSTRACT Discontinuity surfaces that recorded superposition of marine hardground and subaerial exposure stages are common in the Middle Cretaceous of northern Oman. These surfaces formed during periods of rapid sea-level drop. The marine hardground stages are dominant in the field, whereas the subaerial exposure stage is documented in circumstantial petrographic, geochemical, and biological evidence. The record of a shoaling phase prior to exposure is commonly subtle and incomplete; supratidal deposits are conspicuously absent. Porosity in the limestones underlying the discontinuities is rearranged during subaerial exposure and subsequent burial and hence the permeability of large volumes of limestone is affected at a variety of scales. During marine hardground stages, carbonate cements, iron oxides, and manganese occludes some of the existing pore space. During burial, these intervals may thus have acted as either seals or efficient conduits of fluid flow. The surfaces under study in the Shu’aiba, Nahr Umr, and Natih formations are spaced ten to few tens of meters apart and many of them were traced laterally over distances of 100 kilometers and more between sections at Jebel Akhdar and in the Foothills. This implies that they play an important, but poorly understood role in compartmentalization of carbonate reservoir rocks.

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