Joint Tomography with Seismic First-break And Reflection under Rugged Topographical Conditions

Neural Nets for First Break Detection in Seismic Reflection Data

We present a comparative study of the performance of reported neural net algorithms for the detection of first breaks in seismic reflection data with regard to accuracy, learning rate and generalisability.

First Break Detection in Seismic Reflection Data with Fuzzy ARTMAP Neural Networks

In this paper we investigate the use of a supervised, but self-organizing, Adaptive Resonance Theory type of neural network (Fuzzy-ARTMAP), for first break picking in seismic reflection data. First break picking is the accurate location of the leading energy pulse received by a geophone in response to a seismic shot. The performance of Fuzzy-ARTMAP is compared to our previous work with multi-la...

Combining elevation and NMO corrections to shallow seismic reflection data on rugged topography

The application of the seismic reflection method is often limited in complex terrain areas. The problem is the incorrect correction of time-shifts caused by topography. To apply normal moveout (NMO) correction to reflection data correctly, static corrections are necessary to be applied in advance for the compensation of the time distortions of topography and the time-delays from near-surface we...

a comparison of teachers and supervisors, with respect to teacher efficacy and reflection

supervisors play an undeniable role in training teachers, before starting their professional experience by preparing them, at the initial years of their teaching by checking their work within the proper framework, and later on during their teaching by assessing their progress. but surprisingly, exploring their attributes, professional demands, and qualifications has remained a neglected theme i...

The First Break Seismic Detection Problem : Representation Issues