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The AAPG/Datapages Combined Publications Database

Showing 772 Results. Searched 200,293 documents.

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Validating machine learning-based seismic property prediction through self-supervised seismic reconstruction

Tao Zhao, Haibin Di, Aria Abubakar

International Meeting for Applied Geoscience and Energy (IMAGE)

.... Yellow arrows indicate main seismic events that are reasonably well reconstructed in both the ML reconstruction and the convolution-based synthetic data...

2022

A self-attention enhanced encoder-decoder network for seismic data denoising

Stefan Knispel, Jan Walda, Ruediger Zehn, Alexander Bauer, Dirk Gajewski

International Meeting for Applied Geoscience and Energy (IMAGE)

... variant (multiple heads) of scaled dot-product attention (Vaswani et al., 2017). This method can theoretically be used to extend any convolution...

2022

New numerical schemes for time-domain seismic wave modeling in viscoelastic media

Bing Zhou, Moosoo Won, Chao Jin

International Meeting for Applied Geoscience and Energy (IMAGE)

... and Technology, Abu Dhabi, UAE Summary To avoid extensive computation of convolution, common time-domain viscoelastic wave modelling often applies either...

2022

A strategy for acoustic impedance direct inversion in depth domain

Ruiqian Cai, Chengyu Sun, Shizhong Li

International Meeting for Applied Geoscience and Energy (IMAGE)

... is developed (Hu et al., 2007; Singh, 2012), which handles the wavelet and convolution issues in the depth domain through the pseudodepth transform...

2022

Unsupervised deep learning for seismic data reconstruction

Gui Chen, Yang Liu, Mi Zhang

International Meeting for Applied Geoscience and Energy (IMAGE)

... layer, which utilizes a 3D convolution with a kernel size of 3 and a stride of 2 to extract main features and reduce data size. Subsequently, a 3D...

2023

Microsoft Word - image2023_final (10).docx

J0381057

International Meeting for Applied Geoscience and Energy (IMAGE)

... applied along the convolution operator, and proposed above. Here, σ 𝑌 approximation of the argmax classes, the operator ∗ is the 𝐾 is the convolution...

Unknown

Automatic low-order weak faults detection from carbonate reservoir based on deep learning and ant tracking

Han Wang, Xingwei Wu, Hanqing Wang, Jin Meng, Ji Chang, Tianrui Ye, Yujie Zhou, Dongwei Zhang, Yitian Xiao

International Meeting for Applied Geoscience and Energy (IMAGE)

... convolution, the original convolution layer is replaced with residual blocks (ResBlock), and the attention blocks are added to increase the ability...

2024

Colour Image Transformations of Wireline Logs as a Medium for Sedimentary Profile Analysis

D.R. Collins, J.H. Doveton

CSPG Bulletin

... the human ability to discern shapes and trends at all scales. Convolution of a log with a filter, such as a simple moving average, results in the suppression...

1988

CNN for image super-resolution of airborne magnetic data in Ontario, Canada

Rafael Pires de Lima

International Meeting for Applied Geoscience and Energy (IMAGE)

... for geological interpretation. To overcome this dilemma, we developed a super-resolution network architecture making use of sub-pixel convolution techniques...

2024

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...

2024

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)

... data (Ronneberger et al., 2015). The encoder and decoder paths both consist of 7 layers. Each layer in the encoder path consists of convolution, a batch...

2024

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...

2024

From 3D Photogrammetric Outcrop Models to Reservoir Models: An Integrated Modelling Workflow, #41858 (2016).

Julien Schmitz, Rémy Deschamps, Philippe Joseph, Olivier Lerat, Brigitte Doligez, Anne Jardin

Search and Discovery.com

... are transferred into petrophysical and petro‐ acoustic models, which are used to test different scenarios of seismic (1D convolution or full wave modelling...

2016

Seismic Resolution in the Mahakam Delta

J. B. Beauchamp

Indonesian Petroleum Association

... by using two-point high-pass vertical arrays (1, −1), one at the source, one at each receiver, the convolution of the two giving a (−1, 2, −1) high-pass...

1980

CMP domain near-surface velocity model building based on deep learning

Yihao Wang

International Meeting for Applied Geoscience and Energy (IMAGE)

...-resolution fusion. The upsampling process is achieved by a 1*1 convolution and the down-sampling process is based on the stride-2 convolution. We use...

2022

Application of General Surface Multiple Prediction, a True Azimuth 3D Surface Related Multiple Elimination Technique, in the Deep Water Area of the Eastern Makassar Strait

Andreas T. Waluyo, Frank Büker

Indonesian Petroleum Association

... by the processing aperture. Figure 3 shows how conventional 3D SRME predicts multiples. The same convolution technique as in 2D SRME is used but now DRP “X...

2009

Assessing properties of internal multiples for different geologies

Paul Ras, Mikhail Davydenko, Eric Verschuur

International Meeting for Applied Geoscience and Energy (IMAGE)

... synthetic by convolution with a wavelet. The build-up of the internal multiple interference pattern is simulated in a top-down (layer adding) fashion, see...

2022

Deep Earth: Leveraging neural networks for seismic exploration objectives

Tariq Alkhalifah, Claire Birnie, Randy Harsuko, Hanchen Wang, Oleg Ovcharenko

International Meeting for Applied Geoscience and Energy (IMAGE)

... image) with a fixed reference trace from that section. 2) The convolution of the resulting data with the mean (or a random sample) of the autocorrelated...

2022

3D surface-consistent residual statics estimation by deep learning

Han Wang, Jie Zhang

International Meeting for Applied Geoscience and Energy (IMAGE)

... branches. Each stage carries out an and independent convolution operation, and each convolution applies residual module (He et al.,2015). For the problem...

2022

Thin Layer Imaging by Wavelet Transform Enhancement

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

Indonesian Petroleum Association

.... The decomposition employs a quadrature mirror filter. The convolution of the signal with a low pass filter provides the “approximation coefficients”, whereas...

2013

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...

2013

3D seismic image-to-image translation

Xiaolei Song, Muhong Zhou, Lifeng Wang, Rodney Johnston

International Meeting for Applied Geoscience and Energy (IMAGE)

... in the opposite direction of a normal convolution (Zeiler 2010). We apply the skipped connection technique to combine the output features from one decoder layer...

2023

High-resolution angle gather tomography with Fourier neural operators

Sean Crawley, Guanghui Huang, Ramzi Djebbi, Jaime Ramos, Nizar Chemingui

International Meeting for Applied Geoscience and Energy (IMAGE)

... global convolutions, efficiently computed with FFTs, rather than local operators typically used by convolution neural networks (CNNs). FNOs...

2023

Efficient subsurface carbon storage modeling with Fourier neural operator

Suraj Pawar, Pandu Devarakota, Faruk O. Alpak, Jeroen Snippe, Detlef Hohl

International Meeting for Applied Geoscience and Energy (IMAGE)

... between two function spaces (Li et al. 2021). In FNO, the kernel integral operator is replaced with a convolution operation defined in Fourier space...

2023

Eavesdrop during sand cleanout well intervention with distributed acoustic sensing

Ivan Lim Chen Ning, Bradley Barnum, Xinhui Min, Monika Valjak, Brian Arias, Yanfen Zhang, Kai Sun, Ozzy Isabu

International Meeting for Applied Geoscience and Energy (IMAGE)

...). Such operation in obtaining low frequency strain-rate 𝐯̇ ( 𝑡) is also equivalent to convolution (∗) of a boxcar operator 𝑔(𝑡) and the strain-rate tensor dat...

2024

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