... A method of reservoir prediction based on time-frequency tuning volume calculated by Synchrosqueezed three parameter wavelet technique is proposed. First, three parameters wavelet transform are applied to the trace beside borehole, and reasonable transform parameters are selected according...

... dictionary is applied to the denoising procedure by orthogonal matching pursuit (OMP) algorithm. To evaluate the effectiveness of the proposed denoising method, synthetic data examples are conducted including windowed-Fourier-transform (WFT) and wavelet-transform (WT) denoising methods, and three...

... A multi-task encoder-decoder based on SegNet architecture is proposed for automatic stratigraphic correlation in this work. In order to have higher resolution correlation, logs and their wavelet transformed results are combined to form the training datasets. In addition, two types of loss...

... the random noise and other coherent noise becomes one crucial step for pre-stack dataset. Some 2D-transform-based noise attenuating methods cannot fully utilize the spatial correlation information in 3D pre-stack volume. In this abstract, we propose to use 3D continuous wavelet transform (CWT) to denoise pre...

... The detection of faults is of great significance for oil and gas reservoir prediction and migration research. Deep learning methods has been gradually being used in seismic fault detection in recent years. Three dimensional (3D) scattering wavelet transform is multiscale, rotation...

... memory usage. Presentation Date: Tuesday, October 13, 2020 Session Start Time: 9:20 AM Presentation Time: 11:00 AM Location: Poster Station 1 Presentation Type: Poster artificial intelligence neural network accuracy annotation machine learning upstream oil & gas wavelet transform...

... least-square reverse-time migration reservoir characterization seismic data wavelet transform exploration geophysicist 10 operator constraint crosstalk noise imaging accuracy mlsrtm reflection coefficient Sparse constrained multi-source least-squares reverse-time migration using Seislet...

... dispersion attribute as hydrocarbon indicator for fluid detection. Firstly, based on the post-stack seismic data, the time-frequency analysis for each seismic trace in the target reservoir is made by using the high resolution synchrosqueezing wavelet transform (SWT). Then the trace gathers of group...

... that the multiscale approach utilizing wavelet transforms is an efficient tool to quantify spatio-temporal characteristics of seismic data in different frequency bands. Our analysis uses a portion of finely-sampled continuous time data to characterize signal and noise present in near offsets of data acquired...

... specialized curvelet transform specialized transform reservoir characterization snr coefficient curvelet coefficient curvelet transform information time-frequency analysis rotation equation wavelet transform seg international exposition frequency slice seismic data frequency upstream oil...

... Session Start Time: 8:30 AM Presentation Time: 9:20 AM Location: 221A Presentation Type: Oral coe cient data reconstruction seg international exposition projection sparsity wavelet transform wavelet domain annual meeting reconstruction sparse representation dynamic range...

.... After decomposing the seismic signal to different frequencies by continuous complex wavelet transform, we can define the basic frequency and the fundamental frequency band width, and predict the harmonics from the available bandwidth. The resolution of the seismic data will be enhanced after adding...

... ssgst upstream oil & gas mobility fluid mobility annual meeting wavelet transform reservoir fluid mobility extraction resolution fluid modeling References References Castagna , J. , S. , Sun , and R. , Siegfried , 2003 , Instantaneous spectral analysis: Detection...

... trending of Acoustic Time Difference (AC) of the bedding-developing formation back to the actual position, a correction method is demonstrated according to discrete wavelet transform (DWT), which merges the low-frequency signal of the neutron curve and the high-frequency signal of the sonic curve...

... ABSTRACT We investigate an implementation of Gaussian beam depth migration which images seismic data after compression by a digital wavelet transform. Conventional Gaussian beam migration consists of two main steps: (1) a local plane wave decomposition of the input seismic traces...

... ABSTRACT Discrete wavelet transform (DWT) is a valuable tool in signal and imaging processing, in particular for denoising. Its performance in denoising potential-field data has been proven to be superior to that of traditional techniques. We analyze the most common thresholding techniques...

... Type: Poster beam dataset reservoir characterization compression ratio implementation data quality annual meeting gaussian beam migration algorithm algorithm lossy data compression seg international exposition information wavelet transform data compression workflow upstream oil...

...-level curve interpretation total-field anomaly misfit wavelet transform magnetic anomaly reservoir characterization source location field direction hyperbola contour line cone anomaly dipole direction artificial intelligence References References Curtis , S. R. , and A. V...

... named Synchrosqueezed Wavelet Transform (SSWT) is superior to the traditional time-frequency analysis method in time-frequency resolution, which has been applied to seismic data processing and interpretation. In this paper, we propose a method named Time-Varying Spectral Modeling Deconvolution Based...

... frequency carbonate reservoir amplitude frequency forward model hydrocarbon detection avf response upstream oil & gas low frequency seg seg international exposition wavelet transform annual meeting data quality reservoir characterization broadband seismic data References References...