Non stretching NMO (Normal-Moveout) correction with DTW (Dynamic Time Warping) algorithm, study case: shallow target seismic

Evaluation of Lower Bounding Methods of Dynamic Time Warping (DTW)

This paper presents a brief review on the lower bounding(LB) methods applied on Dynamic Time Warping(DTW) till now. Apart from providing a survey on the methods, an attempt has been made to compare these methods in terms of constraints involved with these methods. Some Lower Bounding (LB) methods have better pruning power than others, some are better in terms of running time and also there are ...

Dynamic Time Warping Algorithm with Distributed Systems

Distributed computing is the method of splitting a large problem into smaller pieces and allocating the workload among many computers. These individual computers process their portions of the problem, and the results are combined together to form a solution for the original problem. At present, Distributed computing systems can be broadly classified into two methods, namely Grid computing and V...

Dynamic Time Warping Algorithm Review

Dynamic warping of seismic images

The problem of estimating relative time (or depth) shifts between two seismic images is ubiquitous in seismic data processing. This problem is especially difficult where shifts are large and vary rapidly with time and space, and where images are contaminated with noise. I propose a solution to this problem that is a simple extension of the classic dynamic time warping algorithm for speech recog...

Automated seismic-to-well ties using dynamic time warping

The quality of seismic-to-well tie is commonly quantified using the classical Pearson’s correlation coefficient. However the seismic wavelet is time-variant, well logging and upscaling is only approximate, and the correlation coefficient does not follow this nonlinear behavior. We introduce the Dynamic Time Warping (DTW) to automate the tying process, accounting for frequency and time variance....