ABSTRACT: Sedimentary Rock Characteristics Are Determined By Twenty-One Depositional Medium/Process Associations, by A. Eugene Fritsche; #91019 (1996)

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ABSTRACT: Shaping the Wavelet, by Wang, Yuchun E.; Huo, Shoudong; #90141 (2012)

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Texture Inversion From Seismic Amplitude: Application to Facies Characterization, Offshore Angola, West Africa

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Abstract: Seismic Forward Modeling of Fluid Escape Pipes Based on Novel PSDM Method; #90310 (2017)

Zhihua Cui, Isabelle Lecomte, David Iacopini

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...). This ray-based modelling approach is an extended 3D prestack-depth convolution method, which goes beyond the limitations of the standard 1D-based...

Thin Layer Imaging by Wavelet Transform Enhancement

Randy Condronegoro, Woro Sutjiningsih, Herlan Setiadi, Khairul Ummah, Dythia Prayudhatama

Indonesian Petroleum Association

...-X” improved vertical resolution revealing some thin layers, which were validated by correlation to well-log data. INTRODUCTION Seismic waves...

A Seismic Rock Properties Study of a Mesozoic Reservoir in Indonesia

Andi Alamsyah, Lantu, Sabrianto Aswad, Andi Darmawansyah

Indonesian Petroleum Association

.... Empirical studies reveal that unconstrained sparse-spike inversion can be approximately modeled as a convolution process, with an operator whose...

Feature template based nonlinear time difference correction for first break automatic picking

Chao Ning, Huazhong Wang, Bo Feng, Chengliang Wu

International Meeting for Applied Geoscience and Energy (IMAGE)

... arrivals. Gao et al. (2021) proposed a automatic first-arrival picking through convolution kernel construction and particle swarm optimization(FPCO...

Unsupervised compensation of spiral-shaped drone magnetic survey using a recurrent convolutional autoencoder

Brett Bernstein, Yaoguo Li, Richard Hammack, Colton Kohnke

International Meeting for Applied Geoscience and Energy (IMAGE)

... of two 1D convolution layers, each followed by a batch normalization and long short-term memory (LSTM) layer. The LSTM layers facilitate the recurrent...

Abstract: Inserting Stratigraphic Deconvolution into the Possessing Flow to Improve the Resolution of AVO; #90172 (2014)

Norm Kalmanovitch

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..., this reflectivity sequence is convolved with a wavelet that is limited in frequency and has a distorted phase spectrum. A cross correlation...

Seismic Imaging of Hidden Targets, by Bob Hardage, #40247 (2007).

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AAPG Archie Series, No. 1, Chapter 12: Low-resolution Techniques

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

... by convolution models. • Invasion and borehole effects are not incorporated. Figure 12.5. Correlation between sand fraction and water...

Attention-based self-calibrated convolution neural network for efficient facies classification

Motaz Alfarraj

International Meeting for Applied Geoscience and Energy (IMAGE)

...Attention-based self-calibrated convolution neural network for efficient facies classification Motaz Alfarraj Attention-based self-calibrated...

Along-Axis Segmentation and Growth History of the Rome Trough in the Central Appalachian Basin1

Dengliang Gao, Robert C. Shumaker, and Thomas H. Wilson

AAPG Bulletin

..., and normal incidence synthetic seismograms were computed (Figure 5). The synthetic seismograms are derived from the convolution between reflection coefficients...

The Analysis of Seismic Inversion and Geological Modeling to Unveil the Possibility of Hydrocarbon Deposits in Mature Oil Fields. Case Study: Matoa Field - Salawati Basin

Yulia Putri Wulandari, Wah Adi Suseno, Michael Sompie, Ferry Hakim, RH Petrogas

Indonesian Petroleum Association

... trace is the convolution of the reflectivity with a band limited seismic wavelet with some noise, as expressed in the below equation...

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...

Seismic Resolution in the Mahakam Delta

J. B. Beauchamp

Indonesian Petroleum Association

.... Plate 3.   One may even wonder how seismic reflections can be generated in such conditions. In fact, plate 4 shows that there is some correlation...

Increasing The Resolution of Seismic Imaging With Spectral Blueing, Spectral Decomposition RGB And HSV Blending to Delineate The Fluvial Facies on Fluvio Deltaic Environment

Aji Darma Maulana, Nine Safira, Ongki Ari Prayoga, Egie Wijaksono, Alit Ascaria

Indonesian Petroleum Association

... method utilizes the convolution process for the wavelet whose amplitude spectrum has been increased so that the blue spectrum component has the same...

VSP Guided Reprocessing and Inversion of Surface Seismic Data

R. Gir, Dominique Pajot, Serge Des Ligneris

Southeast Asia Petroleum Exploration Society (SEAPEX)

... of depth to that reflector. The seismogram consists of the convolution of a source wavelet, w(t), with the reflection coefficient series in the presence...

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...

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

T. T. Khoo editor

Geological Society of Malaysia (GSM)

... The Fourth I-lorld Conference on Tin International Geological Correlation Pr ogram ( I.G.C.P.) on :'Sea level changes during the last 15 , 000 years Oil...

Acoustic and Elastic Modeling of Seismic Time-Lapse Data from the Sleipner CO2 Storage Operation

R. J. Arts, M. Trani, R. A. Chadwick, O. Eiken, S. Dortland, L. G. H. van der Meer

AAPG Special Volumes

... interpretation of the time-lapse data has included synthetic seismic modeling to derive CO2 distributions in the reservoir. Convolution-based modeling...

A novel method for digitizing sedimentological graphic logs and exporting into reservoir modeling software

Aly Abdelaziz, Greg M. Baniak, Thomas F. Moslow, Alessandro Terzuoli, and Giovanni Grasselli

AAPG Bulletin

.... The global maxima of the 2-D convolution are used, and the normalized template correlation coefficient (Kaehler and Bradski, 2017) is returned...

Abstracts: Blind L1-norm Multichannel Deconvolution for Seismic Source Function Estimation; #90173 (2015)

Jaime Meléndez Martínez

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... making any a priori assumption of its phase. Introduction A seismic signal s t can be represented as where * means convolution, wt is the seismic wavelet...

Abstract: Time-Reversal Extrapolation for Microseismic Event Localization; #90224 (2015)

Zhenhua Li and Mirko van der Baan

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... - Adapt, Refine, Sustain Calgary, Alberta, Canada, May 12-16, 2014 wave equations (van Manen et al., 2006a). Equation (1) is usually called convolution...

Squeezing More Information Out of 3D Seismic Data with a Match Filter and Possibly Squeezing More Oil Out of Oil Pools; #41562 (2015)

Norm Kalmanovitch, John Townsley

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... to optimize our 3D data set by a process called a match filter. A match filter is a simple convolution filter that is designed on the amplitude spectra...