Reverse-time migration (RTM) represents one of the most accurate, but also one of the costliest algorithms available for imaging in complex media. The RTM computational cost can be reduced by shot encoding, i.e. by imaging simultaneously a large number of shots. This approach reduces computational cost if the number of encoded seismic experiments is smaller than the number of shots. Different e...

Carbon capture and storage (CCS) is a key technology that directly removes industry driven CO2 to achieve carbon neutrality. In the process of CCS, it necessary monitor whether injected properly stored not leaking. The behavior can be investigated using 4D seismic survey compares data before after injection. We proposed two-step monitoring with diffraction-angle filtering (DAF) effectively loca...

Applications to process seismic data employ scalable parallel systems to produce timely results. To fully exploit emerging processor architectures, application will need to employ threaded parallelism within a node and message passing across nodes. Today, MPI+OpenMP is the preferred programming model for this task. However, tuning hybrid programs for clusters is difficult. Performance tools can...

With high imaging accuracy, signal-to-noise ratio, and good amplitude balance, least-squares reverse time migration (LSRTM) is an algorithm suitable for deep high-precision oil gas exploration. However, the computational costs limit its large-scale industrial application. The difference between traditional (RTM) LSRTM whether to eliminate effect of Hessian operator or not while solving matrix e...

We have developed a least-squares reverse time migration (LSRTM) method that uses an energy-based imaging condition to obtain faster convergence rates when compared with similar methods based on conventional imaging conditions. To achieve our goal, we also define a linearized modeling operator that is the proper adjoint of the energy migration operator. Our modeling and migration operators use ...

Incorporating overturned waves and multiples in seismic imaging is one of the most plausible means by which imaging results might be improved, particularly in regions of complex subsurface structure such as salt bodies. Existing migration methods, such as Reverse Time Migration, are usually designed to image solely with primaries, and so do not make full use of energy propagating along other wa...

Reverse time migration (RTM) is based on the two-way wave equation, so its imaging results obtained by conventional zero-lag cross-correlation conditions contain a lot of low-wavenumber noises. So far, wavefield decomposition method Poynting vector has been developed to suppress these noises; however, this also some problems, such as unstable calculation vector, low accuracy decomposition, and ...

As a fundamental part of ground penetrating radar (GPR) data processing, reverse time migration (RTM) can correctly position reflection waves and focusing diffraction on the proper spatial position. Least-squares reverse-time (LSRTM) is widely used in seismic field for its ability to suppress artifacts generate high-resolution images comparison conventional RTM. However, particular case GPR det...

We consider the resolution of the single frequency reverse time migration (RTM) method for extended targets without the assumption of the validation of geometric optics approximation. The resolution analysis, which applies in both penetrable and non-penetrable obstacles with sound soft or impedance boundary condition on the boundary of the obstacle, implies that the imaginary part of the cross-...

Reverse time migration is well established as an imaging method. In this work we analyze this method from an inverse scattering (that is, true amplitude) point of view. We recall that in the ray-Born approximation the medium is assumed to be the superposition of a smooth velocity model, and a perturbation, containing only high (∼ wavelength scale) wavenumbers. The single reflection data are ass...