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Keywords: architecture
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Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3905116
... association energy 10 society architecture neural network reservoir characterization applied geoscience salvador island san salvador island realization Banana hole cave systems can be reservoirs to be targeted, or near-surface drilling hazards to be avoided. Modeling the spatial uncertainty...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3905650
... machine learning applied geoscience bridging geology artificial intelligence cnn inline inversion clapp architecture equation araya-polo geophysics gulf energy 10 barnier Bridging the gap: deep learning on seismic eld data with synthetic training for building Gulf of Mexico velocity...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3907037
... UNet architectures are widely used for segmentation, classification, and regression (inversion) tasks in Deep Learning (DL)-driven Geosciences (see Adler et al. (2021)). The architecture outperforms most others, and it has been shown to be generally robust (Huang et al., 2020). Unfortunately...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3910189
... geologist artificial intelligence attenuation z-component noise applied geoscience american association international dnn upstream oil & gas australia government deep learning-based vz-noise attenuation exploration geophysicist international conference architecture annual international...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3910241
... penetration prediction architecture mclennan international energy 10 drilling american association applied geoscience rop prediction university forecaster architecture exploration geophysicist transformer drilling operation Transformer-based deep learning model for accurate rate of penetration...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3910934
... high-resolution refinements to an incorrect velocity model. deep learning reservoir characterization geology artificial intelligence geologist operator machine learning upstream oil & gas neural network canada government exploration geophysicist architecture iteration...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3912400
... 2D, gridded magnetic data and detect steel pipelines. Using a U-Net architecture, the network is able to make pixel-wise predictions of the presence or absence of a pipeline at any location on the input grid. united states government upstream oil & gas geologist deep learning pipeline...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3916285
... inversion in recent years, but the lack of impedance labels always imposes limitations heavily on the accuracy and stability of seismic inversion. In this work, we present a seismic impedance inversion method based on channel attention mechanisms in a semi-supervised learning framework. The architecture...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3911339
... network anomaly deep learning reservoir characterization architecture american association international gravimetric anomaly filter kernel 64 gravity anomaly exploration geophysicist ml application energy 10 geology artificial intelligence application applied geoscience inversion dataset...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3911535
... We propose a deep-learning strategy based on Fourier neural operators (FNOs) for estimating velocity models from field shot gathers with minimal pre-preprocessing. In contrast with conventional CNN-based architectures based on local operators, FNOs are global convolutional operators efficiently...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3911998
... 2 saturation and their respective uncertainty maps from seismic data. Our network is based on the double difference approach. The use of Invertible Neural Networks (INNs) over other network architectures is motivated by the fact that INNs can produce comparable posterior pdfs of model parameters...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3745542
..., seismic data has a weak response to the subtle change of reservoir parameters, such as Vs and ρ. The architecture of U-net with contracting path first and then expansive path is tend to ignore these weak features. According to the characteristics of pre-stack seismic inversion (large amount data and few...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3745847
... telemetry machine learning dataset ddul neural network separation american association ddae upstream oil & gas artificial intelligence architecture applied geoscience deep learning electromagnetic telemetry noise attenuation exploration geophysicist energy 10 international...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3745846
... geoscience ovcharenko exploration geophysicist architecture peter Low-frequency data is crucial for successful retrieval of low-wavenumber model component in seismic full-waveform inversion (FWI), yet it is often limited by hardware. Deep learning (DL) can fuse early high-wavenumber updates...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3746443
... applied geoscience exploration geophysicist architecture gan generator seismogram international ricker wavelet Resolution is an important problem in seismic data processing and interpretation. High resolution seismic data can improve the accuracy of well-seismic tie, structural interpretation...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3747298
... pinn-based helmholtz solver exploration geophysicist upstream oil & gas helmholtz equation architecture waheed machine learning alkhalifah applied geoscience american association wavefield computation umair bin waheed arxiv preprint arxiv inverse tangent Kronecker neural networks...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3747218
... that uses ResNeXt blocks rather than traditional convolutions as a denoising tool. Furthermore, we add self-attention to the ResNext blocks in the deeper part of the neural network architecture. We compare the results with those obtained with the same network, but without attention, in order to investigate...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3747035
... computation, and parallel architecture optimization, to accelerate the KDMIG method. Numerical tests demonstrate that the efficiency has been improved by up to 40x compared to the CPU version without any compromise of the imaging accuracy. reservoir characterization architecture international energy...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3746877
... learning reservoir characterization machine learning architecture international american association poisson shear prediction society figure 2 energy 10 correlation coefficient hyperparameter A robust approach for shear log predictions using deep learning on big data sets from a carbonate...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3746676
... of simultaneous source wavefields. neural network machine learning inversion deep learning reservoir characterization wavefield expanded abstract upstream oil & gas artificial intelligence international acquisition noise separation dncnn interference noise architecture hua-wei zhou...

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