... both vertical resolution and lateral continuity issues in reflectivity inversion problem. Considering the drawbacks of patch-based operations in 1D dictionary learning, we adopt 2D K-SVD and convolutional sparse coding (CSC) based on global feature extraction as the dictionary learning methods. We...

... to seismic processing and imaging that uses the full wavefield to simultaneously determine a variety of earth parameters, including velocity and reflectivity, using minimally processed field data. The conventional processing workflow is not required since the algorithm is able to utilise aspects...

... Wave-equation-based seismic modeling and migration such as reverse-time migration (RTM) commonly ignore the effects of reflectivity caused by velocity and density. The ignorance could lead to inaccurate wavefield extrapolation. To include the effects for seismic modeling and migration...

... We introduce an innovative technique for simultaneous inversion of velocity and angle-dependent reflectivity. The key aspect of our method lies in extracting angle information from the solution of the vector-reflectivity-based wave equation, which is a crucial step in the process...

... Joint processing of PP and PS seismic data has the potential to augment our understanding of the subsurface both in terms of structures and rock properties. While significant progress has been made in PS processing, illumination variations of PS reflections are often handled in a simplistic way...

... out to assist with the exploration for additional REE resources and groundwater resources and to better inform the structural setting of the current Mt Weld REE deposit and the underlying carbonatite intrusion. Both 2D and 3D seismic reflection and refraction surveys were performed together...

... conventional migration methods. upstream oil & gas inversion american association waveform inversion geologist reservoir characterization exploration geophysicist fwi geology applied geoscience information energy 10 reflectivity geological subdiscipline international full waveform...

... Among other advantages, multicomponent seismic data acquired at the sea floor facilitate the separation of up- and downgoing wavefields. These separated components can then be used to reveal an estimation of subsurface reflectivity. The most used methods are up/down deconvolution, which uses...

... by matching the amplitude of the data. For each iteration of our full waveform imaging framework, we use the true-amplitude reverse time migration to extract the near reflection angle image to invert the impedance model. The inverted broad-band impedance model can be used directly for geological...

... Acoustic full-waveform inversion (FWI) is increasingly being pushed to make use of reflections which are difficult to match with an acoustic approximation and contribute to significant residuals. Whilst elastic FWI offers the potential to better invert reflections for elastic model parameters...

... Elastic reverse time migration is a linear inversion of the reflectivity of the subsurface elastic interface using primarily reflected waves and primarily converted waves given a smooth migration model with accurate elastic wave kinematics. Combining this with the noncurl characteristic of P...

... Reflector-normal vectors and reflector-curvature parameters are the principal geometrical attributes used in seismic interpretation for characterizing the orientations and the shapes of geological reflecting surfaces. The input dataset for their computation consists of fine 3D grids of scalar...

... Least-squares migration (LSM) images the subsurface through an inversion process and seeks the reflectivity model that best explains the measured data. This data-fitting process will implicitly compensate for wavefield propagation effects and limited resolution seen with conventional imaging...

... Before processing and imaging seismic data, a proper understanding of the expected multiple reflection behavior can be crucial for a successful project. We combine 1D acoustic zero offset modeling, based on travel-time and amplitude analysis, with 1D acoustic full wavefield modeling to analyze...

... Supervised deep learning methods have been applied for seismic reflectivity inversion. It has been noticed that supervised deep learning for seismic inversion and imaging needs a considerable amount of labeled data that is often only obtainable via synthetic simulations. A regularized Deep Image...

... in the inverted velocity model. The migration image is usually considered as normal reflectivity of the subsurface, however, a pseudo-reflectivity can be directly derived from the FWI velocity model without going through the migration route. The derived pseudo-reflectivity inherits the full benefits of FWI...

... Accurate velocity model is critical for reliable subsalt imaging. Wave equation based model building tools such as full waveform inversion (FWI) proved to be robust for updating velocity models in complex areas. Areas below salt require to retrieve kinematic information from the reflectivity...

... handle the non-linearities that become prominent in long data windows, being internal multiple scattering and multiple mode conversions and two-way transmission effects. Linear inversion based on primary reflection coefficients cannot handle this. It is also demonstrated that time-variant wavelets can...

... workflow lsrtm gradient exploration geophysicist applied geoscience image-domain lsrtm energy 10 iterative lsrtm upstream oil & gas inversion convergence operator reflectivity lsrtm workflow A recipe for practical iterative LSRTM with synthetic and real data examples from Brazil Valeriy...

... upstream oil & gas simultaneous inversion exploration geophysicist energy 10 reflectivity applied geoscience offshore newfoundland reservoir characterization international labrador society quantitative interpretation orphan basin abstract inversion interpretation american...