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Showing 735 Results. Searched 200,619 documents.
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...
2025
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
Whats Your Gas Worth: A Thrilling or a Taxing Matter?
Kenneth Wee
Australian Petroleum Production & Exploration Association (APPEA) Journal
... their own share of convolution, controversy and contention. Where the gas is taxed at a ‘midstream’ point antecedent to a sale, it becomes more complicated...
2019
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
Enhancing the accuracy of DBSCANs first arrival traveltime picking using super-virtual refraction interferometry
Muhammad Awais, Sherif M. Hanafy, King Fahd
International Meeting for Applied Geoscience and Energy (IMAGE)
... crosscorrelation and convolution among direct arrivals, reflections, refractions, and ground rolls. To achieve the best results, the window is aimed...
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
Imaging and fold comparison of mirror reverse time migration vs. interferometric imaging for VSP data
Liwei Cheng, James Simmons, Ali Tura
International Meeting for Applied Geoscience and Energy (IMAGE)
... migration. As a result, the anticline and shallow layers are well-defined and consistent with the convolution trace when the migration velocity model...
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
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
Production and Reservoir Property Determination Using Integrated Pressure Measurement Techniques
W. Douglas Morgan, Manfred J. Wittmann, Bruno J. Deruyck
Indonesian Petroleum Association
... technique (Slider 1983) were used in addition to the normal Horner semilog analysis. Also downhole rate convolution (D. Meunier et al., 1985) was used...
1987
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
Statistical Characterization and Geological Correlation of Wells Using Automatic Learning Gaussian Mixture Models
David, Lubo, Vikram Jayaram
Unconventional Resources Technology Conference (URTEC)
... to quantitative seismic interpretation. Ties using a poststack or prestack convolution model are routine, while supervised classification tying well data...
2014
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
Direct S-wave seismic data interpretation for channel sand reservoir at Sanhu area, West China
Rui Zhang, Zhiwen Deng, Yan Wang, Xiaoyu Xi, Xiusong Wang, Jie Wang
International Meeting for Applied Geoscience and Energy (IMAGE)
.... The inversion of S2 data utilize amplitude-versus-angle (AVA) characters, assuming that the pre-stack S2 data is the convolution result of wavelet...
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
Competition and the Quest for Offshore Leases
C. E. McMichael, R. W. Stephens
GCAGS Transactions
... other factors considered by means of convolution or Monte Carlo methods using a computer program of the necessary type. For our example (Fig. 10...
1976
Acoustic impedance multichannel inversion constrained by spatial reflection features
Yaming Yang, Xingyao Yin, Kun Li
International Meeting for Applied Geoscience and Energy (IMAGE)
... is an elastic parameter reflecting the properties of subsurface rocks and can be obtained from seismic data. According to the convolution model...
2023