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The AAPG/Datapages Combined Publications Database

Showing 622 Results. Searched 200,357 documents.

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Seismic data interpolation via frequency-constrained 3D inception Unet

Yen Sun, Paul Williamson

International Meeting for Applied Geoscience and Energy (IMAGE)

... a second label – the data transformed into the frequency-wavenumber domain; this requires the addition of a Fourier Transform layer to the architecture...

2022

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

Roberto H. Herrera and Mirko van der Baan

Search and Discovery.com

... phases in both the wavelet and the reflectivity. Theory The seismic signal is described by the convolutional model (Ulrych, 1971): s(t) = w(t) ⋆ r...

2014

Deep Dix: Enhancing interval velocity model estimation through adversarial regularization

Joseph Stitt, Robert Clapp, Biondo Biondi

International Meeting for Applied Geoscience and Energy (IMAGE)

... that Convolutional Neural Networks (CNNs) have successfully generated mappings from low-frequency shot gathers to low-wavenumber Earth model...

2023

Filter-Bank Strategies for Efficient Computation of Radon Transforms for SNR Enhancement

Mauricio D. Sacchi

Search and Discovery.com

... and parabolic paths (for a frequency domain implementation) and linear and hyperbolic paths (for a time-variant/time domain numerical implementation...

Unknown

Filter-Bank Strategies for Efficient Computation of Radon Transforms for SNR Enhancement

Mauricio D. Sacchi

Search and Discovery.com

... and parabolic paths (for a frequency domain implementation) and linear and hyperbolic paths (for a time-variant/time domain numerical implementation...

Unknown

Automating the thresholding of multi-stage iterative source separation with priors using machine learning

Nam Pham, Rajiv Kumar, Sunil Manikani, Yousif Izzeldin Kamil Amin, Phillip Bilsby, Massimiliano Vassallo, Tao Zhao

International Meeting for Applied Geoscience and Energy (IMAGE)

... be the frequency-wavenumber (FK), wavelet, or seislet domain. The iterative source separation algorithm casts the problem as an inversion and solves the basis...

2024

Estimate near-surface velocity with reversals using deep learning and full-waveform inversion

Yong Ma, Xu Ji, Weiguang He, Tong Fei

International Meeting for Applied Geoscience and Energy (IMAGE)

..., R. G., 1999, Seismic waveform inversion in the frequency domain, Part 1: Theory and verification in a physical scale model: Geophysics, 64, 888–901...

2022

Seismic impedance inversion via neural networks and linear optimization algorithm

Bo Zhang, Yitao Pu, Ruiqi Dai, Danping Cao

International Meeting for Applied Geoscience and Energy (IMAGE)

..., and a low frequency model. The loss function of PINNs is designed to minimize the difference between real seismograms and synthetic seismic...

2024

Transfer learning seismic and GPR diffraction separation with a convolutional neural network

Alexander Bauer, Jan Walda, Dirk Gajewski

International Meeting for Applied Geoscience and Energy (IMAGE)

...Transfer learning seismic and GPR diffraction separation with a convolutional neural network Alexander Bauer, Jan Walda, Dirk Gajewski Transfer...

2022

Depositional Facies Identification in Wireline Log Patterns Using 1D Convolutional Neural Network (CNN) Deep Learning Algorithms

Galatio Giovani Prabowo, Muhammad Fahmi Ramdani, Abiyyu Daffa Revanzha, Brian Muara Sianturi, Natalia Angel Momongan

Indonesian Petroleum Association

... to use Python, generating dummy data, training data, and model testing. The chosen tool for this research is the Convolutional Neural Network (CNN...

2024

Bi-directional LSTM-based non-causal deconvolution

G. Roncoroni, I. Deiana, E. Forte, M. Pipan

International Meeting for Applied Geoscience and Energy (IMAGE)

.... This varying range of frequency in the input dataset gives us the ability to deal with different frequencies. Our training approach utilizes a convolutional...

2024

VSP Guided Reprocessing and Inversion of Surface Seismic Data

R. Gir, Dominique Pajot, Serge Des Ligneris

Southeast Asia Petroleum Exploration Society (SEAPEX)

... seismic data is known as the “convolutional model of the seismogram”. This model states that after proper data processing, the final seismic data has...

1988

Improved Resolution of Thin Turbiditic Sands in Offshore Sabah with Bandwidth Extension … A Pilot Study (Paper C11)

G. Yu, N. Shah, M. Robinson, N. H. Nghi, A. A. Nurhono, G. S. Thu

Geological Society of Malaysia (GSM)

... by a convolutional-like process in the CWT domain as illustrated in Figure 2. This effectively reshapes the wavelet and broadens the spectrum. Any...

2012

Sparse time-frequency representation based on Unet with domain adaptation

Yuxin Zhang, Naihao Liu, Yang Yang, Zhiguo Wang, Jinghuai Gao, Xiudi Jiang

International Meeting for Applied Geoscience and Energy (IMAGE)

... propose the sparse time-frequency representation (STFR) based on Unet with domain adaptation (STFR-UDA) model for solving these issues. First, we...

2022

Looking for a simplified and generalized training set in ML applications for gravity modelling

Luigi Bianco, Ciro Messina, Maurizio Fedi

International Meeting for Applied Geoscience and Energy (IMAGE)

... be seen as the building blocks of each gravimetric anomaly. Here, we discuss preliminary results obtained with a Convolutional Neural Network (CNN...

2023

A method of relative impedance holography-inversion based on reflection coefficient inversion

Jiangfeng Zheng, Jialin Sun, Zongyu Zhen, Shaoxuan Li

International Meeting for Applied Geoscience and Energy (IMAGE)

...) 𝑤 Where r(t, f) is the time-frequency spectrum of r(t), 𝑡 𝑤 is half-length of the time window. Assuming a convolutional seismogram and known wavelet...

2022

Synthetic-data-driven deep learning method for elastic parameter inversion

Shuai Sun, Luanxiao Zhao, Huaizhen Chen, Zhiliang He, Jianhua Geng

International Meeting for Applied Geoscience and Energy (IMAGE)

... coefficient sequences; Finally, the Zoeppritz equation and the convolutional model is adopted to synthesize the AVO gather sets. The wavelets used...

2023

4D Finite Difference Forward Modeling within a Redefined Closed-Loop Seismic Reservoir Monitoring Workflow, #41922 (2016).

David Hill, Dominic Lowden, Sonika, Chris Koeninger

Search and Discovery.com

...-field coupled dynamic integrated earth model to surface. From which 3D grids of petro-elastic parameters for a range of reservoir simulations...

2016

Feature Detection for Digital Images Using Machine Learning Algorithms and Image Processing

Xiao Tian, Hugh Daigle, Han Jiang

Unconventional Resources Technology Conference (URTEC)

... is increased greatly. There are 16 weight layers in vgg16 model, including 13 convolutional layers and 3 fully-connected layers. There are 19 weight...

2018

Nonuniform dispersed source arrays for broadband seismic acquisition

Joaqun A. Acedo, Mauricio D. Sacchi

International Meeting for Applied Geoscience and Energy (IMAGE)

...-DSA data via the convolutional model and a source operator that plays the role of the restriction operator in CS (Candes, 2008). The latter contains...

2023

Seismic Forward Modeling of Semberah Fluvio-Deltaic Reservoir

Adi Widyantoro, Wahyu Dwijo Santoso

Indonesian Petroleum Association

..., or a convolutional process between the seismic waveform and a Gaussian function, has been applied to the rotated seismic lines in order to reduce high-frequency...

2021

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)

... complexity, frequency content, and signal-to-noise ratio (SNR). Synthetic seismic data without the added noise template is used to train the denoising model...

2024

Interactive channel interpretation using deep learning

Hao Zhang, Peimin Zhu, Zhiying Liao, Zewei Li, Dianyong Ruan

International Meeting for Applied Geoscience and Energy (IMAGE)

..., it is difficult to extract channels completely. With the development of machine learning technology, convolutional neural network (CNN) is widely...

2022

Development and Application of a Real-Time Drilling State Classification Algorithm with Machine Learning

Yuxing Ben, Chris James, Dingzhou Cao

Unconventional Resources Technology Conference (URTEC)

... drilling analytics system is automatic rig state detection. High frequency time series data (typically one data point per second) from multiple sensors...

2019

Survey merging using CycleGAN and patchy seismic images

Chaoshun Hu, Fan Jiang, Konstantin Osypov, Julianna Toms

International Meeting for Applied Geoscience and Energy (IMAGE)

... frequency and high frequency domains. When there are paired images, CycleGAN will be simplified to be a U-net model where the loss function is using...

2023

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