A multihorizon tracking method using dynamic time warping
Horizon tracking is a very important step in seismic data processing and interpretation.The existing automatic horizon tracking technology often has a poor tracking effect when encountering faults.Therefore,a pure data-driven multihorizon tracking method using dynamic time warping(DTW)is proposed based on the waveform similarity between adjacent seismic channels.Firstly,the characteristic values of the seismic channels are extracted and the seismic channels are divided according to the characteristics of troughs,peaks,or zero crossings so that the tracked horizon positions strictly follow the above characteristics.In this way,a high accu-racy of the tracking results can be ensured.Secondly,the DTW method is used to calculate the characteristic value sequences divided into two adjacent seismic channels to obtain similar paths.Finally,all the similar char-acteristic value point pairs,extracted from the similar paths,are divided according to the reference horizon to obtain each set of horizons.The results of model data calculation and actual data tests show that the proposed method can quickly track the positions of each set of horizons in the target area,and it effectively overcomes the hindering effect of faults on horizon tracking.It has a certain generalizability to seismic data in different geologi-cal conditions and has a certain application value.
seismic horizon trackingdynamic time warpingseismic waveform characteristicsstructural interpretation