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The AAPG/Datapages Combined Publications Database

Showing 772 Results. Searched 200,293 documents.

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Deep learning approach for denoising and resolution enhancement of poststack seismic data

Ruslan Malikov, Tatyana Yusubova, Izat Shahsenov

International Meeting for Applied Geoscience and Energy (IMAGE)

... of the usual 1D convolution, we use 3D convolution, which is able to cover illumination and lateral resolution issues that lead to realistic behavior...

2024

3D GPR data mel-frequency cepstral coefficients features for effective CNN classification of urban utilities

Jide Nosakare Ogunbo, Sang Hun Baek, Sang-Wook Kim

International Meeting for Applied Geoscience and Energy (IMAGE)

... product of the convolution filter (kernel) with the layer’s input matrix. Fourth International Meeting for Applied Geoscience & Energy...

2024

Research and application of Intelligent high resolution processing method based on ISTA-Net

Huahui Zeng, Qin Su, Sanyi Yuan, Lide Wang, Yanwu Xu, Huijie Meng, Deying Wang

International Meeting for Applied Geoscience and Energy (IMAGE)

.... Theory and/or Method Intelligent high-resolution processing method based on ISTA-Net Convolution model described the relationship between seismic records...

2024

Turbidite Structures from Barakar Rocks of Ramgarh Coal-field, Bihar, India: NOTES

D. P. Sen

Journal of Sedimentary Research (SEPM)

... with silty bands. FIG. 7. [Grey Scale] A transverse section showing more complex convolution with digitations protruding out from sandy bands...

1967

Broad bandwidths reveal double the expected sediment depth in the Northern Carnarvon Basin

Jo Firth, Mark Stanley

Petroleum Exploration Society of Australia (PESA)

... demultiple (SWD) was used to build a model of the water layer multiples using convolution (Yang, 2013). Model-based water layer demultiple (MWD) (Wang et...

2016

ABSTRACT: Rejuvenation of a Mature Field Through Application of a Unique Frequency Enhancement Technology; #90007 (2002)

Marcus L. Countiss

Search and Discovery.com

...” to be convolved with the band-limited embedded wavelet through the process of polynomial multiplication (one sided convolution). The new method used...

Unknown

Abstract: Short-time Wavelet Estimation in the Homomorphic Domain; #90174 (2014)

Roberto H. Herrera and Mirko van der Baan

Search and Discovery.com

...(t), (1) where r(t) is the reflectivity, w(t) is stationary the wavelet, ⋆ stands for the convolution operator and s(t) is the seismic trace...

2014

Abstract: Estimation of Q: a Comparison of Different Computational Methods; #90187 (2014)

Peng Cheng and Gary F. Margrave

Search and Discovery.com

... (t) ∗ I(Q, t) − µw2 (t)‖2, where ∗ denotes convolution, the minimization is taken over the range of possible Q values; I(Q, t) is the impulse...

2014

Abstracts: Revisiting Homomorphic Wavelet Estimation and Phase Unwrapping; #90173 (2015)

Roberto H. Herrera and Mirko van der Baan

Search and Discovery.com

... given as a convolution between the propagating wavelet and the reflectivity series of the earth and normally it is assumed that a white noise is added...

2015

Spectral Balancing of Seismic Data Using Spectral Decomposition; #41976 (2017)

Satinder Chopra, Kurt J. Marfurt

Search and Discovery.com

... coefficients as a convolution along the scales used in the transformation plus an integration along time. In addition to magnitude and phase, one can readily...

2017

AAPG Archie Series, No. 1, Chapter 13: Summary and Recommendations

Q. R. Passey, K. E. Dahlberg, K. B. Sullivan, H. Yin, R. A. Brackett, Y. H. Xiao, and A. G. Guzmán-Garcia

AAPG Special Volumes

..., log convolution modeling should also be considered to improve the resolution of lithology and porosity logs [Chapter 11]. A low-resistivity...

2006

Bridging the Gap Between Reservoir and Seismic

Mike Branston

GEO ExPro Magazine

... is a generalized 3D convolution technique which enables the user to predict 2D and 3D illumination and resolution effects in prestack acquisition. Innovative...

2007

Deterministic and Statistical Wavelet Processing

Lee Lu

Southeast Asia Petroleum Exploration Society (SEAPEX)

...Deterministic and Statistical Wavelet Processing Lee Lu 1980 31 41 Wavelet processing techniques are based on the convolution model for a seismic...

1980

Self-supervised learning for seismic swell noise removal

Yuan Zi, Shirui Wang, Pengyu Yuan, Xuqing Wu, Jiefu Chen, Zhu Han

International Meeting for Applied Geoscience and Energy (IMAGE)

...y. In design, the blind-trace network changes the convolution layers and downsampling layers to restrict the receptive field covering regions only upward...

2022

Subsurface uncertainty quantification with deep geologic priors: A variational Bayesian framework

Ashutosh Tewari, Brent Wheelock, Jacob Clark, Dallas Foster, Matthew Li, Youssef Marzouk

International Meeting for Applied Geoscience and Energy (IMAGE)

... convolution architecture; a rough sketch of which is shown in Figure 2. Sparing the details of VAE learning, we just rationalize our choice for the encoding...

2022

A method to identify subtle carbonate reservoirs

Shaoying Chang, Mengxiu Wang, Kaiyuan Ji

International Meeting for Applied Geoscience and Energy (IMAGE)

... obtained from the carbonate reservoirs but it is worth applying for other convolution of the model (figure 1a) with 35HZ ricker reservoirs. wavelet...

2022

Marchenko redatuming and seismic interferometry based internal multiple prediction for salt structures

Zhiwei Gu, Jianhua Geng, Ru-Shan Wu

International Meeting for Applied Geoscience and Energy (IMAGE)

... of channels involved in subtraction, and  indicates convolution. More precisely, R 0 (t ) stands for the original dataset which contains the primaries...

2023

ABSTRACT: 3D MODELS OF PALYNOFACIES OF COAL USING DIGITAL HOLOGRAPHY MICROSCOPY

Alejandro Restrepo, Jorge Herrera, Román Castañeda, Christopher Mann, Myung Kim

The Society for Organic Petrology (TSOP)

... with reconstruction by convolution Opt. Eng. 41(8) 1829–1839, August 2002. aG f k b g l c h m d i n e j o Figure 1. a) transmission hologram...

2006

Geological Society of Malaysia Newsletter Number 51 (October-November 1974)

T. T. Khoo editor

Geological Society of Malaysia (GSM)

...' and" suggest'interrl.H 'convolution •• ~ , , . C~Qss ~~c'tions. :shQ~ Iess than _2':':cm wide ~lay~ironstone 'rims~ 'Str~kii!g+y. si~:tar structures...

1974

Depositional Processes and Characteristics of 21 Depositional Processes/Medium Associations with Examples from the Tertiary of the Santa Monica Mountains

A. Eugene Fritsche

Pacific Section SEPM

... of aqueous dunes); fluidized-flow deposition in air (FA, gasescape structures in air-fall tuff) or in water (FW, convolution in aqueous deposits); and mixing...

1996

Landsat 5 Thematic Mapper Image of the Marathon Mountains

R. L. Borger

West Texas Geological Society

... of the major processing techniques, the data can be contrast adjusted (linear, logarithmic, exponential, gaussian), filtered (convolution, Fourier...

1990

A new perspective of surface consistent deconvolution

Dongliang Zhang, Mohammed Almubarak, Constantinos Tsingas

International Meeting for Applied Geoscience and Energy (IMAGE)

... In conventional surface-consistent processing, the recorded trace can be decomposed into four convolution factors in the frequency domain: the source, receiver...

2024

Least-squares migration utilizing high-resolution point spread functions generated from local angle domain illumination vectors

Matan Shustak, Orly Kletenik-Edelman, Ronit Levy, Zvi Koren

International Meeting for Applied Geoscience and Energy (IMAGE)

...-defined, the convolution process can be reliably inverted (deconvolved) to achieve high-resolution images. The LAD-based imaging system is based...

2024

Convolute Lamination, its Origin, Preservation, and Directional Significance

Stanislaw Dzulynski, Alec J. Smith

Journal of Sedimentary Research (SEPM)

...------------------------ Near the bottom surface of the convolution the laminae follow a simple pattern of gentle undulations. If associated with ripples...

1963

Sequence-to-Sequence (Seq2Seq) Long Short-Term Memory (LSTM) for Oil Production Forecast of Shale Reservoirs

Cristhian Aranguren, Alfonso Fragoso, Roberto Aguilera

Unconventional Resources Technology Conference (URTEC)

...), and Convolution Neural Networks (CNN), they share the same objective of serving as function approximators which seek to find the right set...

2022

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