... We present a novel workflow for the accelerated signal enhancement of massive 3D prestack seismic data utilizing a Local Wavefront Attributes Deep Neural Network. It is based on automatic local wavefront attributes estimation using a specially trained convolutional deep neural network...

... We present the results of a model-based post-stack image enhancement methodology using the dip-guided selective stacking method (DGSS) based on Nichols et al. (2017) and applied to a Kirchhoff pre-stack depth migrated image in the southern Gulf of Mexico. For this purpose, we are using...

... technology services exploration geophysicist prediction cloud platform interface architecture energy 10 dataset enhancement american association pipeline registry lineage applied geoscience interpretation society synthetic seismic dataset Bringing ML models into mainstream applications...

... image improvement can be achieved. rtm optimization frequency attenuation reservoir characterization hz rtm migration expanded abstract upstream oil & gas international enhancement american association subsalt imaging applied geoscience exploration geophysicist gulf basement...

... Seismic refractions play an important role in near surface imaging. However, the far-offset refractions are often too weak to identify. To enhance the far-offset refraction amplitude, several super-virtual interferometry methods are developed to reconstruct refractions using a physical model...

... amplitude estimation beamformed data reservoir characterization enhancement exploration geophysicist 10 noise cmp gather frequency minimum statistics phase correction irm phase spectra applied geoscience original data statistics spectra spectrum Targeted Noise Removal by Seismic Time...

... Vertical resolution enhancement of seismic data is a very useful tool for the interpretation of subsurface structures. To enhance the vertical resolution of the seismic data, we present a method which broadens the spectrum of the seismic data by using machine learning (ML) technique...

... network (DNN) to overcome this situation. This DNN directly links the Wavefront attributes, such as local dips and curvatures of prestack seismic data with estimated attributes on a regular seismic events, are used in different seismic data processing grid. methods, from prestack data enhancement...

...Quality control of 3D prestack land seismic data with a focus on data enhancement Andrey Bakulin, Ilya Silvestrov, EXPEC Advanced Research Center, Saudi Aramco; Maxim Protasov*, Institute of Petroleum Geology and Geophysics, Novosibirsk, Russia Summary We use semblance (Neidell and Tuner, 1971...

...Blended acquisition with temporally signatured/modulated and spatially dispersed source array: productivity enhancement in the first pilot survey onshore Abu Dhabi Tomohide Ishiyama*, ADNOC; Tie Wei, BGP Summary made according to the total time length. The sweep is allocated at particular frequency...

... to better lateral facies prediction, distribution, and reduced uncertainties in volumetric estimation. Presentation Date: Wednesday, October 14, 2020 Session Start Time: 1:50 PM Presentation Time: 1:50 PM Location: Poster Station 4 Presentation Type: Poster seismic data enhancement vintage...

... the Finite Difference method. Presentation Date: Tuesday, September 17, 2019 Session Start Time: 8:30 AM Presentation Start Time: 11:25 AM Location: 304A Presentation Type: Oral seismic data high-resolution imaging algorithm salt body imaging enhancement diffraction annual meeting seismic...

... the noise and reflection energy share the same signal properties that makes it difficult to separate them using frequency-based filters. In general, nearsurface seismic reflections are stronger in a specific portion of the field record that is conventionally called the optimum window. To enhance...

... is required and it has been one of the major objectives in seismic data processing. In this paper, we present a data-driven machine learning (deep learning) technique for spectral enhancement. We introduce the basic methodology of our new spectral broadening technique first and then demonstrate the promising...

... enhancement and sharpening by applying the hybrid focusing stabilizer which combines the edge-preserving smoothing filter with the minimum support functional. The method is based on the model resolution matrix of the migration operator. We also improve the migration image with a novel target-oriented...

... attributes for nonlinear beamforming can greatly speed up prestack enhancement of 3D seismic data. Other applications such as velocity analysis or seismic tomography can be implemented using a similar approach. Presentation Date: Monday, September 16, 2019 Session Start Time: 1:50 PM Presentation Time: 2...

... ABSTRACT We present a method for enhancement of challenging prestack seismic data that preserves valuable local information such as residual statics, wavelet shape and frequency bandwidth. This information is encoded in the original data; but is often not easily extracted because of low signal...

... ABSTRACT Historically, seismic images have always been subject to substantial enhancement to improve their interpretability and/or the quality of reservoir characterization products. We discuss several model-driven techniques for optimizing reverse time and Kirchhoff migration images...

...-stack data enhanced by nonlinear beamforming. This provides a computationally efficient and robust approach for reconstruction of a velocity model early in the time-processing phase enabling iterative processing critical for low signal-to-noise ratio land data. We present details of the tomographic...

... attributes from seismic data for RGB fusion, then transform them into HSV color domain, extract V information for high-pass filtering and enhancement, then transform them into RGB color domain. In this way, the boundary of the image obtained by color domain processing is more obvious, the boundary brightness...