Abstract
Some challenges make it difficult to improve the seismic data quality of Yingxiongling complex mountains, such as complicated underground geologic conditions, low signal-to-noise ratio (SNR), complex geological structure and poor imaging of fracture developments. At the same time, low SNR of seismic data influences the judgment and recognition of static correction results. On account of the complex surface and geological conditions, wide azimuth, high folds and source-receiver united combination have been used in seismic data acquisition, which effectively improves the field raw data quality. According to the comlex statics, the integrated static correction technique based on key bed (phreatic surface) is adopted in the data processing. (1) Tomographic inversion static correction constrained by the first break and ultra-deep microlog (2) On the basis of high quality imaging results of the phreatic surface in time domain, the imaging quality of phreatic surface in depth domain is used to determine the accuracy of near surface model and static correction by surface model embedding method in depth domain. (3) The iteration of residual static correction can improve the accuracy of static correction. The application of matched comprehensive static correction techniques effectively solves the static correction problem and improves the stack imaging quality and SNR. It is also helpful for the subsequent denoising and prestack migration processing. The SNR of the result data is high and it provides reliable seismic data for the oil exploration of Yingxiongling complex mountains.
Published Version
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