... of the seismic velocities was used to compensate for variable illumination using point spread functions (PSFs). This workflow generates high fidelity pre-stack seismic datasets, high resolution quantitative seismic inversion rock property estimates and angle-dependent reflectivity volumes for multiple objectives...

... mauritania imaging carbonate platform interpretation seismic dataset american association seafloor canyon tomography society reservoir characterization seismic offshore mauritania discovery international bandwidth energy 10 New geological insights gained from the reprocessing, imaging...

... alignment dataset magnitude cgg reservoir characterization application courtesy energy 10 merge workflow noise exploration geophysicist applied geoscience boundary taper seismic dataset A smart merge workflow for dual azimuth images Xu Li*, Diwi Snyder, Dez Chu, Inmaculada Dura-Gomez...

... american association brazil carbonate buildup seismic dataset subsea system santos basin similarity pre-salt mero field petrobras reservoir characterization applied geoscience exploration geophysicist international k-means seismic identification curvature energy 10 Seismic identification...

... ABSTRACT Seismic traces are missing due to limitations in acquisition conditions, bad sectors, etc., which seriously affects the quality of seismic dataset. Seismic data interpolation technology is an effective way to reconstruct missing seismic traces and improve the quality of seismic...

.... The performance of our proposed workflow is verified through application to two real seismic datasets from the North Sea and the Solsikke. It is concluded that the new workflow is not only capable of providing reliable seismic stratigraphy interpretation but holds the potential for assisting other geophysical...

... constraining the machine learning-assisted seismic interpretation (MLSI) by applying the commonly known geologic fundamentals and/or the interpretation objective, with fault and stratigraphy interpretation for example. Four applications to a real 3D seismic dataset from the North Sea are presented...

.... Synthetics generated at well locations are crucial for quality control at each step of the seismic data conditioning workflow. This paper demonstrates the advantages of performing seismic data conditioning, on a regional (multi-survey) North Sea seismic dataset, prior to reservoir characterization using...

... convolutional neural network for seismic dip estimation CNN (SDE-CNN). The proposed SDE-CNN can estimate x-direction apparent dip and y direction apparent dip spontaneously. Finally, we applied the proposed SDE-CNN to one 3D field seismic dataset. Part of the original seismic dataset and corresponding WSSB dip...

... resolution. Firstly, we introduce the generative adversarial network to seismic data processing and use it to enhance the resolution of seismic data. For a 3D field seismic dataset, we use one typical method, the adaptive bandwidth extension in the continuous wavelet transform domain, to enhance...

... ABSTRACT In the O&G industry, interpreters may be assisted by image retrieval techniques when searching for relevant geological features in a seismic dataset, such as image patterns and structures. This can greatly accelerate the interpretation process by enabling the interpreter to relate...

... discriminative attributes for a classification and a clustering task related to the stratigraphic segmentation of a public seismic dataset. The results indicate that texture attributes may be more suitable for these tasks than seismic attributes. Ten out of ∼60 attributes selected with the ANOVA feature...

... correspondence kirchhoff pstm well 1 avo behavior seismic dataset migration reservoir characterization anomaly depth domain psdm depth migration psdm data seg international exposition dataset annual meeting upstream oil & gas amplitude avo response pstm gradient analysis Allen...

..., in which the presence of a fault is labelled as . The added values of the proposed method are verified through applications to the seismic dataset over the Great South Basin in New Zealand, where the dominant features are polygonal faults of varying sizes and orientations. The results demonstrate not only...

... the seismic attribute at different resolutions (scales). Then, all attributes at the different scales are fused together to form the proposed multiscale enhanced attribute. Applications to the 3D seismic dataset over the Great South Basin in New Zealand demonstrate that the proposed method is capable...

...) processed and interpreted multicomponent 3D seismic data in a heavy oil field in Northeast Alberta, obtaining excellent converted wave volumes. In this project, a multicomponent 3D seismic dataset is used to image and characterize an Athabasca oil sands field. The data provided consists of fully processed...

... reservoir characterization seismic dataset reservoir rock property information fusion seg international exposition reference list seismic inversion pre-stack seismic inversion midland basin upstream oil & gas facies classification artificial intelligence classification...

... reflectors to investigate the effects of poor velocity analysis and normal moveout stretch (or migration). We compare the results from the synthetic seismic dataset to a real 3D seismic dataset. We show an attribute interpretation of both datasets and how inaccurate processing can lead to fallacious claims...

... dataset, with known density, Vp, Vs and facies models, to where a considerable amount of random white noise was added. This algorithm is now being tested in a real pre-stack seismic dataset showing promising results. direct facies seismic avo inversion reservoir characterization probability...

... Summary Matching of the surface seismic, VSP and crosswell seismic datasets is the basis for integration application of different reservoir seismic data. Reflection coefficients have been selected as the bridge that matching for different seismic data, which is the linear convolution...