Abstract
Depth migration can image complex structures with high accuracy, thereby stimulating the increasingly urgent demands for developing depth-domain inversions and interpretations in industry. The well–seismic calibration in the depth domain serves as a crucial cornerstone for these interpretations and inversions. Well data provide a partial cognition of underground media. Seismic data must be accurately calibrated with well data to expand this cognition outward. Depth-domain seismic data are non-stationary, transforming traditional, mature time-domain well calibration methods unsuitable for direct application to depth-domain seismic data. Therefore, researchers usually adopt a domain transformation strategy to complete well–seismic calibration in the time domain and then convert the calibration results into the depth domain. However, this method inevitably introduces additional error accumulation caused by domain transformation. On the basis of a comprehensive review of previous research, we propose a direct depth-domain well–seismic calibration method. This method is based on the synthesis of the depth-domain seismic records and the extraction of the depth-domain generalized seismic wavelets. We introduce constrained dynamic warping with maximum stretch depth constraint and directly match seismic data with well data in the depth domain. The actual processing results show that the method improves the efficiency of the depth-domain well–seismic calibration and produces a reliable relationship between seismic and well depths after two to four iterations.
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This research project is supported by the National Natural Science Foundation of China (No. U23B0158) and CNOOC major technology project (KJGG2022-0104)
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Niu, C., Wang, Jh., Ye, Yf. et al. Depth-domain well–seismic calibration method and application based on constrained dynamic warping. Appl. Geophys. (2024). https://doi.org/10.1007/s11770-024-1094-7
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DOI: https://doi.org/10.1007/s11770-024-1094-7