... Full waveform inversion (FWI) often faces a lot of difficulty inverting for the subsurface when starting with a poor initial model, especially in complex subsurface regions, such as those containing salt bodies. Thus, human intervention is often needed to pick the salt boundary and improve...

... Full-waveform inversion (FWI) was applied on the Jumano and Sandhill 3D land seismic surveys, which were acquired over the Delaware basin with distinct acquisition configurations. The near-surface geology of the study area is characterized by interbedded thick deposits of late Permian salt...

... This paper explores the potential for hyperscale public cloud high-performance compute (HPC) to enable efficient deployment of a semi-global approach to multi-parameter full-waveform inversion (FWI) over large areas. We introduce several novel aspects to semi-global FWI that improve convergence...

... to apply a wide variety of geophysical techniques. Classic methods like AVO reconnaissance and analysis (Castagna et al., 1997), band limited inversion, and extended elastic impedance (EEI) (Whitcombe et al., 2002) were applied and in the most challenging places innovative algorithms like the litho-petro...

... boundary tlfwi imaging reservoir characterization applied geoscience american association energy 10 international exploration geophysicist subsalt imaging frequency society inversion e-tlfwi hz fwi image expanded abstract vmb workflow FWI for the complex Walker Ridge salt province using...

... inversion algorithm for time-lapse EM monitoring with a rock-physics constraint to reduce the uncertainty in the recovered static reservoir properties, i.e., permeability models, and the fluid saturation change as a function of time. Our inversion algorithm assumes the static reservoir models are correlated...

... deep learning international application neural network reservoir characterization prediction figure 6 figure 5 applied geoscience american association society expanded abstract dataset figure 8 geophysics waveform inversion fwi exploration geophysicist inversion bandwidth extension...

... geoscience reservoir characterization exploration american association upstream oil & gas inversion exploration geophysicist international application formation volcanic eruption basin es3 energy 10 Characterization of deep volcanic reservoirs using TFEM, well and seismic data in the LH...

... Many implementations of full waveform inversion (FWI) use an L2 norm to quantify differences between the modelled and observed data. Unfortunately, this approach is prone to cycle skipping when the supplied velocity is too far from the truth. Starting FWI at lower frequencies widens the desired...

... is derived. Through accuracy analysis, it is verified that the newly obtained second-order viscoelastic reflection coefficient has higher accuracy and can describe the seismic wave propagation in complex media more accurately. On this basis, a set of pre-stack seismic nonlinear frequency- dependent inversion...

... Full Waveform Inversion (FWI) can provide a reliable velocity model, which is necessary to make more accurate seismic images, thus, to locate low relief reservoirs. And its successful implementation depends on the quality of low-frequency components of seismic data and the existence of a good...

... Full Waveform Inversion (FWI) is the most popular technique to obtain high resolution estimates of earth model parameters using all information present in seismic. Elastic FWI inverts multicomponent data for P and S-wave velocities and densities. We propose an alternative approach for FWI using...

... Full waveform inversion (FWI) using reflections can provide velocity update for deeper target compared to conventional FWI using refractions and diving waves. For reflection FWI (RFWI), demigration is a key step to create synthetic reflection data. In this paper, we will focus on analyzing...

... Full-waveform inversion (FWI) has been widely used on 3D datasets to build detailed velocity models over the past ten years. Most of these projects used pressure data and an acoustic approximation with the assumption that the field data is dominated with P waves. This approach of FWI can...

... of a least-squares reverse time migration (LSRTM) seismic data and related inversion products. reservoir simulation exploration geophysicist reservoir characterization international structural geology american association acquisition lacustrine carbonate society wright barnett uncertainty...

... velocity and event location inversion approach is a promising candidate to help address this issue, though it is not yet a de facto industry standard due to several practical challenges remaining. We developed a workflow of a joint velocity and event location inversion method in the case of a 1D vertical...

... In this paper, we compare inversion results obtained with deterministic and stochastic approaches. After short description of the inversion techniques, results are presented on real data case, in a shale/sand clastic environment where sand layer thickness is way below seismic resolution. Next...

... Multi-Dimensional Deconvolution is a data-driven method that is at the center of key seismic processing applications - from suppressing multiples to inversion-based imaging. When posed in an interferometric context, it can grant access to overburden-free seismic virtual surveys at a given datum...

... Reservoir characterization is a critical component in any oil and gas, geothermal, and CO2 sequestration project. A fundamental step in the process of characterizing the subsurface is represented by the inversion of petrophysical parameters from seismic data. However, this problem suffers from...

... seismic amplitude reservoir simulation impedance nayyer islam amplitude applied geoscience exploration geophysicist sim2seis workflow energy 10 inversion society matt le good seismic model international generating synthetic seismic robert chrisman A case study of generating synthetic...