...-only techniques. petroleum geology economic geology p-wave dispersion geologist geological subdiscipline attenuation applied geoscience & energy 10 spectral analysis reservoir characterization dispersion spectra seismic model frequency geophysics spectral decomposition...

... The paper introduces a novel algorithmic approach for interpreting seismic data, aiming to automate spectral decomposition interpretation and cluster distinct 3D seismic facies. Utilizing Self-Organizing Maps (SOM) and Kmeans, the proposed algorithm effectively identifies and clusters geological...

... inverse ontology spectral decomposition reservoir characterization null space model parameter exploration geophysicist inverted resistance thin sheet american association The direct linear electromagnetic inverse with constraints Peter Walker*, Geophysical Algorithms Summary An inverse method...

... prediction exploration geophysicist neural network machine learning deep learning reservoir characterization implementation artificial intelligence frequency american association international identification applied geoscience norlund society workflow energy 10 spectral decomposition...

... reservoir characterization spectral decomposition exploration geophysicist seismic geomorphology cuyo group upstream oil & gas argentina formation alejandra feinstein international structural geology interpretation basin applied geoscience society american association teresa...

... Emphasizing geological features outlines is one of the seismic interpretation objectives. The spectral decomposition process allows extracting the distinctive frequencies encompassing an energetic maximum relative to a geological target and mapping it through a Red-Green-Blue viewer...

... Spectral decomposition is a powerful interpretation tool that provides superior subsurface images of channels and other thinly bedded depositional systems. The analysis of the band-limited components is commonly facilitated through the red-green-blue (RGB) blend, which is limited to three...

... to accurately estimate the actual quality factor of the underground medium. In this paper, a new seismic compensation method based on inverse spectral decomposition in time-frequency domain is proposed. Firstly, the method divides the seismic data into several frequency bands using inverse spectral...

... decomposition methods rely on multi-trace coherency attributes to improve spectral decomposition results. We propose a new coherency-based spectral decomposition method, the Auxiliary S-transform, which significantly improves on the resolution of the S-transform. The Auxiliary S-transform maps a seismic section...

... In the last two decades, spectral decomposition as a dynamic analysis method for seismic and prediction of effective thicknesses has been firmly established in the geological ex-ploration workflow. The reason for this is high efficiency in forecasting in conditions of high lateral and vertical...

... material. The sedimental sequences we used the results of the seismic transgressive system tract is distinguished in the 1st and 2nd waveforms classification, spectral decomposition, productive interval. The sand deposits of this system tract coherence, porosity and NTG (net-to-gross) volumes (Figure 1). ©...

... interpretation of hydrocarbon saturation. Presentation Date: Tuesday, October 13, 2020 Session Start Time: 1:50 PM Presentation Time: 1:50 PM Location: 360C Presentation Type: Oral modeling expanded abstract spectral decomposition upstream oil & gas faulty seg international exposition...

... ABSTRACT As a time-frequency analysis tool, inverse spectral decomposition (ISD) could be utilized to obtain a high-resolution time-frequency map via the inversion strategy. In established inversion function, an analytic signal is disintegrated as a coefficient matrix whose elements represent...

... characterization upstream oil & gas application spectral decomposition pswave data processing method high resolution processing algorithm Chai , X. , Z. Li , W. Han , et al., 2012 , Research of spectral inversion based on LSQR method : Geophysical Prospecting for Petroleum...

... and overburden system. The upper Jurassic Sognefjord Formation is a potential CO storage formation overlain by the Heather and Draupne Formations considered to be the cap rocks in the Smeaheie area within the northern North Sea. In this study, we extracted spectral decomposition and similarity attributes...

... to the full-bandwidth seismic data. These resulting images may still be disappointing in the presence of strong seismic noise, or juxtaposition of relatively similar reflectors across a fault. We develop a seismic fault enhancement method based on spectral decomposition assisted attributes. Certain spectral...

... data is collected and processed and interpreted. The boundary of the sand body is identified by the conventional amplitude slice and spectral decomposition respectively. The results shows that amplitude slicing is more sensitive to lithology changes in the lateral direction of the sand body, while...

... ABSTRACT We utilized coherence, spectral decomposition, and seismic facies classification to study channel systems and depositional environments during the Pliocene epoch in the offshore area of southwestern Taiwan. The characteristics of channel systems, such as distribution, thickness...

... intelligence seismic data seg international exposition decomposition upstream oil & gas wavelet magnitude spectrum matrix machine learning magnitude slice novel approach time-frequency analysis spectral decomposition bayesian inference wvd gabor transform decomposed wavelet seismic time...

... aramco upstream oil & gas seismic data thickness geometry seismic section porosity prediction seismic facies physical property classification frequency category seg international exposition spectral decomposition Aldakheel , M. , H. , Alghenaim , A. , Rees , F...