A novel technique for modeling fracture intensity: A case study from the Pinedale anticline in Wyoming

AAPG Bulletin ◽  
2003 ◽  
Vol 87 (11) ◽  
pp. 1717-1727 ◽  
Author(s):  
Patrick M. Wong
Keyword(s):  
Novel Technique ◽  
Fracture Intensity ◽  
Modeling Fracture

Fracture Modelling Using Seismic Based Fracture Intensity Volume, a Case Study in Middle East

2013 ◽  
Author(s):  
Mu Hansheng ◽  
Liu Chuanxi ◽  
Li Peng ◽  
Pang Huihua
Keyword(s):  
Middle East ◽  
Fracture Intensity

Detecting Electronic Initiators Using Electromagnetic Emissions

2014 ◽  
pp. 69-99
Author(s):  
Colin Stagner ◽  
Sarah Seguin ◽  
Steve Grant ◽  
Daryl Beetner
Keyword(s):  
Low Power ◽  
Normal Operation ◽  
Radio Receivers ◽  
Novel Technique ◽  
Different Types ◽  
Radio Signals ◽  
Electromagnetic Emissions ◽  
Weak Stimulation ◽  
Explosive Device

The accurate and timely discovery of radio receivers can assist in the detection of radio-controlled explosives. By detecting radio receivers, it is possible to indirectly infer the presence of an explosive device. Radio receivers unintentionally emit low-power radio signals during normal operation. By using a weak stimulation signal, it is possible to inject a known signal into these unintended emissions. This process is known as stimulated emissions. Unlike chemical traces, these stimulated emissions can propagate through walls and air-tight containers. The following case study discusses methods for detecting and locating two different types of radio receivers. Functional stimulated emissions detectors are constructed, and their performance is analyzed. Stimulated emissions are capable of detecting super-regenerative receivers at distances of at least one hundred meters and accurately locating superheterodyne receivers at distances of at least fifty meters. These results demonstrate a novel technique for detecting potential explosive threats at stand-off detection distances.

scholarly journals Temporal Aspects in Air Quality Modeling—A Case Study in Wrocław

2020 ◽  
Vol 13 ◽  
pp. 117862212097582
Author(s):  
Joanna Kamińska ◽  
Estrella Lucena-Sánchez ◽  
Guido Sciavicco
Keyword(s):  
Extensive Literature ◽  
Traffic Flows ◽  
Final Model ◽  
Underlying Process ◽  
Explanatory Variables ◽  
Novel Technique ◽  
Temporal Aspects ◽  
Quality Modeling ◽  
Standard Techniques

Anthropogenic environmental pollution is a known and indisputable issue, and the importance of searching for reliable mathematical models that help understanding the underlying process is witnessed by the extensive literature on the topic. In this article, we focus on the temporal aspects of the processes that govern the concentration of pollutants using typical explanatory variables, such as meteorological values and traffic flows. We develop a novel technique based on multiobjective optimization and linear regression to find optimal delays for each variable, and then we apply such delays to our data to evaluate the improvement that can be obtained with respect to learning an explanatory model with standard techniques. We found that optimizing delays can, in some cases, improve the accuracy of the final model up to 15%.

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