Improving slowness estimate stability and visualization using limited sensor pair correlation on seismic arrays
نویسندگان
چکیده
منابع مشابه
Using Neural Networks with Limited Data to Estimate Manufacturing Cost
Neural networks were used to estimate the cost of jet engine components, specifically shafts and cases. The neural network process was compared with results produced by the current conventional cost estimation software and linear regression methods. Due to the complex nature of the parts and the limited amount of information available, data expansion techniques such as doubling-data and data-cr...
متن کاملImproving Microseismic PWave Source LocationWith Multiple Seismic Arrays
Using array analysis, the direction and distance to a seismic P wave source can be determined. However, individual arrays are limited in their geographical coverage and by their resolving capability, which is determined by the array aperture, configuration, and number of stations. We demonstrate these limitations on three large seismic arrays located in Japan, Europe, and California, and find t...
متن کاملStacking seismic data using local correlation
Stacking plays an important role in improving signal-to-noise ratio and imaging quality of seismic data. However, for low-fold-coverage seismic profiles, the result of conventional stacking is not always satisfactory. To address this problem, we have developed a method of stacking in which we use local correlation as a weight for stacking common-midpoint gathers after NMO processing or common-i...
متن کاملImproving Constraint Modelling Using Visualization
This talk gives an overview of CP-Viz, a constraint solver independent visualization toolkit for understanding search trees, variables and global constraints of modern constraint applications. We show how visualization can play a central role in developing, analyzing and tuning constraint models. Together with the declarative problem modelling framework of CP, and the specialized propagation me...
متن کاملDrift Reduction For Metal-Oxide Sensor Arrays Using Canonical Correlation Regression And Partial Least Squares
Abstract. The transient response of metal-oxide sensors exposed to mild odours can be oftentimes highly correlated with the behaviour of the array during the preceding wash and reference cycles. Since wash/reference gases are virtually constant overtime, variations in their transient response can be used to estimate the amount of sensor drift present in each experiment. We perform canonical cor...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Geophysical Journal International
سال: 2017
ISSN: 0956-540X,1365-246X
DOI: 10.1093/gji/ggx550