Results 11 to 20 of about 20,612 (268)
Seismic inversion by Newtonian machine learning [PDF]
Geophysics, 2020 ABSTRACT We present a wave-equation inversion method that inverts skeletonized seismic data for the subsurface velocity model. The skeletonized representation of the seismic traces consists of the low-rank latent-space variables predicted by a well-trained autoencoder neural network.
Yuqing Chen, Gerard T. Schuster
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Energies, 2023 Prestack depth-migrated seismic data, having more accurate imaging position and amplitude fidelity than prestack time-migrated seismic data, are supposed to produce a higher quality reservoir prediction result by using depth-domain inversion.
Jinjin Hao +4 more
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High resolution pre-stack seismic inversion using few-shot learning
Artificial Intelligence in Geosciences, 2022 We propose to use a Few-Shot Learning (FSL) method for the pre-stack seismic inversion problem in obtaining a high resolution reservoir model from recorded seismic data.
Ting Chen +4 more
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Anderson acceleration for seismic inversion [PDF]
Geophysics, 2020 ABSTRACT State-of-the-art seismic imaging techniques treat inversion tasks such as full-waveform inversion (FWI) and least-squares reverse time migration (LSRTM) as partial differential equation-constrained optimization problems. Due to the large-scale nature, gradient-based optimization algorithms are preferred in practice to update ...
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Adaptive Feature Map-Guided Well-Log Interpolation
Remote Sensing, 2023 As an irreplaceable quantitative interpretation method, prestack seismic inversion enables the effective estimation of subsurface elastic parameters for reservoir prediction.
Lingqian Wang, Hui Zhou, Hanming Chen
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Data-Driven Seismic Impedance Inversion Based on Multi-Scale Strategy
Remote Sensing, 2022 Seismic impedance inversion is one of the most commonly used techniques for reservoir characterization. High accuracy and high resolution seismic impedance is a prerequisite for subsequent reservoir interpretation.
Guang Zhu +3 more
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Envelope-based constrained model for multiparameter pre-stack seismic inversion
Journal of Petroleum Exploration and Production Technology, 2022 Pre-stack seismic inversion is an effective method to estimate multiparameter from seismic reflection data in the oil–gas reservoir exploration. In order to get a reliable inverted parameter result, a constrained model is commonly used to reduce the ...
Junzhen Shan +3 more
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Binary structure constrained gravity inversion based on seismic first arrival travel time data
Frontiers in Earth Science, 2023 Gravity exploration method is one of the important methods for deep mineral resource exploration, but gravity data inversion has limited resolution ability in the vertical direction.
Xinhui Deng +2 more
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EURASIP Journal on Wireless Communications and Networking, 2020 Seismic attributes, which are extracted from seismic information, are physical indexes used specifically for the measurement of geometric, dynamic, or statistical characteristics of seismic data.
YuanyuanWang, CuiWang
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Gas Saturated Sandstone Reservoir Modeling Using Bayesian Stochastic Seismic Inversion
JGEET: Journal of Geoscience, Engineering, Environment and Technology, 2020 This study has been done to map the distribution of gas saturated sandstone reservoir by using stochastic seismic inversion in the “X” field, Bonaparte basin. Bayesian stochastic inversion seismic method is an inversion method that utilizes the principle
Rahmat Catur Wibowo +4 more
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