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Keywords: machine learning
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Proceedings Papers

Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3750540
... on the current challenges and opportunities for future improvements are provided. artificial intelligence variability geospatial variability algorithm upstream oil & gas machine learning offshore technology conference renewables integration offshore geotechnical site characterization energy...
Proceedings Papers

Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3750545
... signals and ESP related noise were recorded by fiber optic cables installed inside the wellbore. In this paper, we compare DAS VSP data recorded with and without the ESP running and perform an analysis of the characteristics of flow noise activated by the ESP. We also use a machine learning (ML) algorithm...
Proceedings Papers

Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3750561
... and physics-informed machine learning for geophysics (e.g., loop unrolled imaging, uncertainty quantification), all while facilitating the integration of external software. neural network reservoir characterization louboutin machine learning deep learning seismic model abstraction integration...
Proceedings Papers

Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3750586
... A total of 18 wells from the basinal Late Devonian Duvernay Formation within the Western Canada Sedimentary Basin are used to compare unsupervised machine learning results to core described facies. Each well has a complete suite of standard open hole wireline logs and depth-adjusted detailed...
Proceedings Papers

Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3750705
... sensing data. These data are readily and largely available for many regions around the globe and the current rise in the application of machine-learning techniques can help in the acceleration of their interpretation and analysis. Furthermore, the automatization of such analysis has the potential to guide...
Proceedings Papers

Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3750724
... Utilizing multiple seismic amplitude attributes as features in various machine learning techniques has enhanced reservoir quality and lithofacies classification. However, the underlying limitations of resolution of thin lithofacies and the associated wavelet interference may adversely impact...
Proceedings Papers

Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3750808
... and characterization. deep learning upstream oil & gas well logging interpretation reservoir characterization international artificial intelligence machine learning neural network log analysis expanded abstract applied geoscience exploration geophysicist density workflow netherlands american...
Proceedings Papers

Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3750831
... The paper introduces an integrated machine learning-based fault classification workflow that creates fault component classification volumes that greatly reduces the burden on the human interpreter. We first compute a 3D fault probability volume from pre-conditioned seismic amplitude data using...
Proceedings Papers

Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3750851
... developed a workflow of data processing and classification of LF-DAS signals, and used machine learning methods to detect fracture hit precursors at an early stage. The random forest classifier achieved the best performance among neural networks and bagging support vector machine classifier. The workflow...
Proceedings Papers

Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3750886
... on the DIP. upstream oil & gas reservoir characterization recursive dip artificial intelligence dip exploration geophysicist international neural network machine learning criterion iteration attenuated noise presented snr noise noise attenuation applied geoscience american...
Proceedings Papers

Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3750901
... accuracy. Based on the carbonate sequence stratigraphic framework, the mapping relationships of multitype geophysical data sets were established by machine learning algorithms, forming the geological-logging-seismic data fusion technology, and a set of fault-karst carbonate reservoirs prediction workflows...
Proceedings Papers

Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3751512
..., and achieves higher SNR and smaller and less coherent differences compared to its single channel counterpart. artificial intelligence wavefield coefficient reconstruction sparse approximation signal processing exploration geophysicist international upstream oil & gas machine learning...
Proceedings Papers

Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3751528
... efficiency. Numerical examples show that the reconstructed resistivity and velocity models are more accurate and better consistent with prior knowledge. neural network machine learning knowledge upstream oil & gas artificial intelligence international inversion interpretation applied...
Proceedings Papers

Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3751538
... the effectiveness of our approach. upstream oil & gas artificial intelligence reservoir simulation quantification bayesian inference machine learning fwi applied geoscience seismic model international gmcmc dataset waveform inversion american association inversion reservoir characterization...
Proceedings Papers

Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3751545
.... fracture characterization reservoir characterization exploration geophysicist upstream oil & gas artificial intelligence reservoir fracture delineation conditional generative adversarial network international neural network dataset applied geoscience segmentation deep learning machine...
Proceedings Papers

Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3751582
.... Focusing on the end-user problem has never been more important for near-surface researchers. artificial intelligence digital trend revolution american association machine learning near-surface geophysicist near-surface geophysics geophysicist geophysics transition workflow practitioner...
Proceedings Papers

Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3751591
.... Such methods are time-consuming, especially for 3D applications. In this study, we apply a machine learning method to achieve the same objective but with much less computational time. A U-Net neural network is designed for training, validation, and testing. The input includes multiple traces of data with weak...
Proceedings Papers

Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3751621
..., there are many opportunities for those who embrace the concept of exploration as a relentless search for the discovery of new solutions to both old and new challenges. social responsibility machine learning exploration geophysic exploration reservoir characterization international upstream oil...
Proceedings Papers

Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3751640
... demonstrate the efficacy of methodologies on Brazilian pre-salt 4D seismic dataset. artificial intelligence dataset deep learning applied geoscience upstream oil & gas reservoir characterization exploration geophysicist expanded abstract machine learning american association vintage...
Proceedings Papers

Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3751651
... analysis scaling method artificial intelligence united states applied geoscience registration pattern recognition american association international machine learning petroleum engineering modality houston reservoir characterization exploration geophysicist michael myer petroleum engineering...

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