Theory and Method of High-Precision Seismic Imaging and Inversion for Low-Quality Data, Extra-deep Reservoir and Double-Complex Structure

Dear Colleagues,

This Special Issue invites paper contributions to improve seismic imaging for low-quality data, extra-deep reservoirs, and double-complex structures

With the deepening of oil and gas exploration and development, the focus of oil and gas exploration shifts from middle and shallow structural reservoirs to deep concealed lithologic ones. Complex surface and subsurface structures lead to a low signal-to-noise ratio and weak signal in prestack seismic data, which presents significant challenges to seismic imaging. The imaging technical difficulties associated with low-quality data, extra-deep reservoir, and double-complex structure can be mainly categorized into three aspects: (1) Poor data quality. Seismic reflection signals from deep, extra-deep, and complex structures are very weak with a low signal-to-noise ratio and resolution; (2) difficulties in building velocity field. The multi-solution nature of velocity inversion is particularly severe in deep and extra-deep layers, making it challenging to obtain accurate high-frequency velocity information; and (3) low imaging accuracy. The presence of numerous broken blocks and faults leads to complex seismic wavefields and difficulties in accurately migrating seismic reflection waves. The weak seismic reflection energy in deep layers makes amplitude-preserved imaging difficult. Small-scale and steeply dipping structures are difficult for accurate imaging. The shielding effect of overlying strata causes a lack of imaging information in the deep layers. The subsurface medium exhibits viscoelastic anisotropy, leading to significant distortion of the seismic wavefield. In contrast, multi-component seismic imaging improves the accuracy of seismic interpretation and fluid recognition, it faces two major bottlenecks: extensive computational requirements and significant multi-solution issues.

Dual complex structural forward simulation, velocity inversion, and imaging: achieve deep seismic wave simulation and imaging under dual-complex conditions.

Viscous and anisotropic medium seismic wave simulation and imaging: achieve accurate imaging of deep layers using theories that better match the Earth's medium.

Seismic imaging in complex land and marine environments: solve the problems and challenges faced in deep-land and -sea environment seismic imaging.

Ray- and wave-equation-based migration methods for low-quality seismic data: improve imaging energy, SNR, resolution, and fidelity when handling low-quality seismic data.

Multi-component elastic wave imaging: overcome the bottleneck of multi-component imaging technology.

Intelligent imaging for geological targets: improve the imaging accuracy of specific targets based on artificial intelligence technology.

Prof. Dr. Yingming Qu
Dr. Jiachun You
Guest Editors

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• low-quality data
• extra-deep reservoir
• double-complex structure