Automatic extraction of horizons through faults
J. Li, Gong-Hui Liu, Ranzhe Zhang · 2021
Summary Most horizon interpretation is based on local slope. Because the slope of discontinuity reflection can’t be obtained accurately, this kind of method can’t extract fault very well. To solve this problem, this paper studies an automatic horizon extraction algorithm under fault control. This method is more accurate and stable for cross fault seismic data horizon extraction. Firstly, plane wave destruction is used to obtain horizon dip information, which can control the overall trend of horizon curve. According to the dip, the weight coefficient can be further calculated, which can be used to characterize the fault. Accurate fault characterization results can better guide the extraction of horizons. At the same time, DTW (Dynamic Time Warping) algorithm is used to calculate the similar slope, and the details of horizon curve are described according to the consistent phase principle. Finally, guided by the dip and phase information, the horizon extraction equation is established and solved iteratively to obtain the final horizon curve. Synthetic data and field data prove the effectiveness of the algorithm, and noisy data test proves the anti-noise performance of the algorithm.