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Showing 773 Results. Searched 200,691 documents.
Characterization of deep volcanic reservoirs using TFEM, well and seismic data in the LH area
Xiaodong Suo, Weibin Dong, Yuezheng Li, Yanling Shi, Zhanjun Yang
International Meeting for Applied Geoscience and Energy (IMAGE)
... into a conventional transpose; "*" represents a convolution operation. Each model parameter vector �� of the TFEM constrained inversion problem...
2022
Effectiveness of dip-in DAS observations for low-frequency strain and microseismic analysis: The CanDiD experiment
David W. Eaton, Yuanyuan Ma, Chaoyi Wang, Kelly MacDougall
International Meeting for Applied Geoscience and Energy (IMAGE)
..., 2018). The 1-D convolution kernel size is set to seven data points. Finally, the normalized softmax exponential function is used to set probabilities...
2022
Assessment on the Serviceability of Monopod Platforms in Java Sea Due to Wave Excitation
Gde Pradnyana
Southeast Asia Petroleum Exploration Society (SEAPEX)
..., the structure may also be excited by the higher frequency forces which are associated to the second and third convolution of the wave energy. Such case is known...
1996
High-resolution prestack seismic inversion of reservoir parameters using an arch network
Ting Chen, Yaojun Wang, Yuan Yuan, Gang Yu, Guangmin Hu
International Meeting for Applied Geoscience and Energy (IMAGE)
...), convolution kernel size (Ks), batch size (Bs), input data height (Ih). Table 1 Detailed parameters of our proposed A-Net architecture shown in figure...
2022
Echo phone for direct attenuation indication
Lu Liu, Tong Fei, Fuhao Qin, Yi Luo
International Meeting for Applied Geoscience and Energy (IMAGE)
... extrapolated by two-way wave equation, the notation ∗ represents a time convolution, 𝑢 𝐱 𝐫 , 𝑡; 𝐱 𝐬 is the shot gather from the shot 𝐱 𝐬 to the receiver...
2022
Deep learning Laplace-Fourier full-waveform inversion with virtual supershot gathers
Lei Fu, Daniele Colombo, Weichang Li, Ernesto Sandoval-Curiel, Ersan Turkoglu
International Meeting for Applied Geoscience and Energy (IMAGE)
... layers and an output layer. The 4 densely connected layers contain 256, 256 128, and 128 nodes. The CNN consists of four 1D convolution layer...
2022
Broadband reconstruction of seismic signal with generative recurrent adversarial network
Zhijun Zhang, Wei Song, Wei Wang
International Meeting for Applied Geoscience and Energy (IMAGE)
..., and the discriminator is to build the loss function by introducing Wasserstein distance to ensure no problem of gradient vanishing at any time. When using convolution...
2022
Accelerated Kirchhoff depth migration on CPU-GPU heterogeneous computing systems
Yujin Liu, Hongwei Liu, Yi He, Fuhao Qin, Yue Du
International Meeting for Applied Geoscience and Energy (IMAGE)
... -! (#, ), *) and weighted by an appropriate factor '(#, ), *). The amplitude factor should also include a one-dimensional convolution by a derivative filter...
2022
Automated metallic pipeline detection using magnetic data and convolutional neural networks
Brett Bernstein, Yaoguo Li, Richard Hammack
International Meeting for Applied Geoscience and Energy (IMAGE)
... such that their sum is 1. Our network design uses two convolution and two max-pool layers. More than one of each may risk overfitting the network...
2022
Lithofacies prediction of shale based on broadband spectral inversion
Hongmei Luo, Yiran Xing, Changjiang Wang, Jingtao Zhang, Peijie Yang
International Meeting for Applied Geoscience and Energy (IMAGE)
... to the time domain convolution theory, the effect of seismic wavelet is removed from the seismic record, and then the reflection coefficients are obtained...
2022
Seismic imaging in shallow water where are we at and where might we be going?
Henry A. Debens, Robert Eliott-Lockhart, Jennifer Moss
Australian Energy Producers Journal
.... The flavour of LS-RTM used (Fig. 3b) provided improved wavelet de-convolution and amplitude balancing relative to more-conventional RTM (Fig. 3a...
Unknown
An optimal aperture crosscorrelation imaging condition for Marchenko imaging
Xiaochun Chen, Yezheng Hu, Yukai Wo, Weiping Cao, Xuri Huang
International Meeting for Applied Geoscience and Energy (IMAGE)
... , x F , t 0 ) as an image value at image point x F . In equation 3, the asterisk denotes temporal convolution. In our work, only the first arrival...
2022
Insights using machine learning in predicting faults and horizons: A case study onshore Texas
Dan Ferdinand Fernandez, Mustafa Karer, Richard Hearn, Ryan King, Sunil Manikani, Gavin Menzel-Jones
International Meeting for Applied Geoscience and Energy (IMAGE)
.... Convolutional Neural Network for faults For fault prediction, ML technology using a deep convolution neural network (CNN) U-NET architecture adapted...
2022
Seismic data interpolation via frequency-constrained 3D inception Unet
Yen Sun, Paul Williamson
International Meeting for Applied Geoscience and Energy (IMAGE)
... absolute errors in time and frequency domains. The inception modules (Szegedy et al., 2014) contain parallel paths with convolution blocks of different...
2022
Using deep learning for automatic detection and segmentation of carbonate microtextures
Claire Birnie, Viswasanthi Chandra
International Meeting for Applied Geoscience and Energy (IMAGE)
... the common Masked Region-based Convolution Neural Network from computer vision can be adapted to the task of identifying individual micrite crystal...
2022
Volumetric supervised contrastive learning for seismic semantic segmentation
Kiran Kokilepersaud, Mohit Prabhushankar, Ghassan AlRegib
International Meeting for Applied Geoscience and Energy (IMAGE)
... separable convolution for semantic image segmentation: Presented at the Proceedings of the European conference on computer vision (ECCV), 801–818. Chen...
2022
Shaping regularization by fast explicit diffusion
Sergey Fomel
International Meeting for Applied Geoscience and Energy (IMAGE)
...), can be expressed in the infinite domain in the form of spatial convolution u0 (x0 ) G(x − x0,t) dx0 , un , (15) The explicit recursion...
2022
Impact of an Integrated Seismic Data Processing Approach: A Case Study in Central Sumatra
Mars E. Semaan, Eddy Murhantoro, Maryanto, Achmad Bermawi, Budi Subianto, Hari Santoso
Indonesian Petroleum Association
.... The convolution of this filter with the input data produces the wavelet processed section shown at the bottom of Figure 1. Inversion for the Acoustic...
1992
Incorporating information on varying sedimentation rates into paleontological analyses
Niklas Hohmann
PALAIOS
... a convolution), or as a randomization of a simulated fossil record (Tomaˇov´ ch and Kidwell 2010; Kallenberg 2017; Hohmann 2018; s y Hohmann 2019a, 2019b; Online...
2021
OpenFWI 2.0: Benchmark Datasets for Elastic Full-waveform Inversion
Shihang Feng, Hanchen Wang, Chengyuan Deng, Yinan Feng, Min Zhu, Peng Jin, Yinpeng Chen, Youzuo Lin
International Meeting for Applied Geoscience and Energy (IMAGE)
... stacked upsampling and convolution blocks for improved ∂ 2u 2 2 2 − ∇[ρ(VP − 2VS )(∇ · u)] − ∇ · [ρVS (∇u + (∇u)T )] = s. ∂t 2 (1) Here, u = (ux , uz...
2023
Nonuniform dispersed source arrays for broadband seismic acquisition
Joaqun A. Acedo, Mauricio D. Sacchi
International Meeting for Applied Geoscience and Energy (IMAGE)
... i stands of ideal and ∗k means convolution in the wave-number domain. The recovering process of NU-DSA entails solving an inverse problem...
2023
Elastic impedance parameterization and inversion for fracture quasi-weaknesses and quasi-Thomsen parameters in fractured reservoirs with monoclinic symmetry
Wei Xiang, Xingyao Yin, Kun Li, Zhengqian Ma
International Meeting for Applied Geoscience and Energy (IMAGE)
... by generating the convolution of the reflection coefficient calculated by Eq. (8) and a 30Hz Ricker wavelet, which is shown in Figure 3(a). Gaussian...
2023
Seismic data denoising by combining self-supervised and supervised learning
Yen Sun, Paul Williamson
International Meeting for Applied Geoscience and Energy (IMAGE)
... with convolution blocks of different kernel sizes to capture features at multiple scales. Previous results (Sun et al., 2022) suggest that this can provide more...
2023
Probabilistic centroid moment tensor inversions using geologically constrained priors: Application to induced earthquakes in the Groningen gas field, the Netherlands
La Ode Marzujriban Masfara, Cornelis Weemstra, Thomas Cullison
International Meeting for Applied Geoscience and Energy (IMAGE)
..., the in-line asterisk ∗ represents temporal convolution and T0 the origin time of the event. Assuming Gaussian observational errors and a Gaussian...
2023
Anisotropic elastic full-waveform inversion for crosswell seismic data for Wyoming CarbonSAFE project
Olga Podgornova, Shujaat Ali, Ting Lei, Peng Li, Matthew Johnson, Lu Lee, Zunsheng Jiao, J. Fred McLaughlin, Erik Borchardt, Lin Liang, Pierre Bettinelli, Joel Le Calvez
International Meeting for Applied Geoscience and Energy (IMAGE)
... depth intervals. We transformed FWI impedance to a pseudo-reflectivity image by applying a convolution-based filtering in the vertical direction. We show...
2023