In engineering practice, ground penetrating radar (GPR) records are often hindered by clutter resulting from uneven underground media distribution, affecting target signal characteristics and precise positioning. To address this issue, we propose a method combining deep learning preprocessing reverse time migration (RTM) imaging. Our approach introduces novel framework for GPR clutter, enhancin...

Seismic imaging faces challenges due to the presence of several uncertainty sources. Uncertainties exist in data measurements, source positioning, and subsurface geophysical properties. Reverse time migration (RTM) is a high-resolution depth approach useful for extracting information such as reservoir localization boundaries. RTM, however, time-consuming data-intensive it requires computing twi...

SUMMARY Efficient numerical wave modelling is essential for imaging methods such as reverse-time migration (RTM) and full waveform inversion (FWI). In 2D, frequency-domain modelling with LU factorization as a direct solver can outperform time-domain methods by one order. For 3-D problems, the computational complexity of the LU factorization as well as its memory requirements are a disadvantage ...

Hybrid parallel multicore architectures based on Graphics Processing Units (GPUs) can provide tremendous computing power. Current NVIDIA and AMD Graphics Product Group hardware display a peak performance of hundreds of gigaflops. However, exploiting GPUs from existing applications is a difficult task that requires non-portable rewriting of the code. In this paper, we present HMPP, a Heterogenou...

Abstract Reverse time migration (RTM) is a well-established imaging technique that uses the two-way wave equation to achieve high-resolution of complex subsurface media. However, when using RTM for reverse extrapolation, source wavefield needs be stored cross-correlation with backward wavefield. This requirement results in significant storage burden on computer memory. paper introduces reconstr...

ABSTRACT Anisotropic pseudo-acoustic forward modeling and migration imaging are critical for high-precision seismic exploration. However, the wavefields simulated by traditional coupled anisotropic acoustic wave equation have problems of shear noise numerical simulation instability epsilon that is less than delta. Furthermore, although pure expressed differential operators can solve aforementio...

Abstract In the framework of non-destructive-testing advanced seismic imaging techniques have been applied to ultrasonic echo data in order examine integrity an engineered test-barrier designed be used for sealing underground nuclear waste disposal site. Synthetic as well real multi-receiver acquired at test site were processed and imaged using Kirchhoff prestack depth migration reverse time (R...

Reverse time migration (RTM) has been a popular method in industry duo to its ability of imaging complex subsurface and no dip restriction. However, RTM based on full matric capture (FMC) data is limited by the cost calculation cannot be widely used. In this study, new strategy using plane wave proposed. Plane reverse (PWRTM) does not need stack results from multiple sources directly uses as so...

Technology advances, such as WAZ/FAZ acquisition, reverse time migration (RTM) and iterative salt imaging in model building, have greatly improved subsalt image quality. However subsalt imaging under complex salt overburden is still challenging. The fundamental issue lies with the imperfect illumination from limited acquisition. In the poor illumination zones, the migration artifacts and cohere...

Velocity models can be automatically updated by differential semblance velocity analysis (DSVA). To overcome the dip limitations associated with the one-way wave equation based imaging algorithms, we propose in this study that the common image gathers can be defined other than in horizontal offset domain within the reverse time migration(RTM) framework, where two-way wave equation is solved as ...