Application of HQSpec High-Fidelity Resolution Enhancement Technology in the Prediction of Quasi-Layered Karst Reservoirs in the Yijianfang Formation, Tarim Basin

In addressing the shielding interference caused by strong reflections at the top of limestone in the Yijianfang Formation quasi-layered karst reservoirs of the Tarim Basin during seismic prediction, this study explores the application of HQSpec high-fidelity resolution enhancement technology to compress wavelets and reduce the influence of wavelet sidelobes on seismic reflections from underlying quasi-layered karst reservoirs. The results demonstrate promising outcomes, offering a novel technical approach for thin reservoir prediction under strong reflection interference. Based on compressed sensing theory, the HQSpec technology reconstructs sparse reflection coefficients by solving a sparse inversion optimization problem under L2 norm constraints. This is combined with compressed Morlet wavelets after wavelet regularization to reconstruct high-frequency data, thereby compressing wavelet sidelobes while preserving high-frequency signal fidelity. After applying the HQSpec technology, the effective seismic frequency bandwidth expanded from 5–35 Hz to 5–55 Hz, significantly attenuating the sidelobe effects of strong reflections at the limestone top. Consequently, seismic reflection signals from quasi-layered karst reservoirs in the Yijianfang Formation were effectively enhanced. Based on HQSpec high-resolution data, this study identified multiple quasi-layered karst reservoir targets in the Yijianfang Formation of the Fuman area, delineating favorable exploration prospects for future deployment. This approach also provides an effective technical solution for thin reservoir prediction in similar geological settings with strong reflection interference, demonstrating broad applicability for analogous challenges.