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Keywords: deep learning
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Proceedings Papers

Paper presented at the Offshore Technology Conference Brasil, October 24–26, 2023
Paper Number: OTC-32836-MS
.... It is implemented using deep neural networks with 3D Fourier neural operator. We verify this image morphing operator with both synthetic data and field data experiments. The goal of this study is in speeding up the velocity model scenario tests. operator machine learning deep learning reservoir...
Proceedings Papers

Paper presented at the Offshore Technology Conference Brasil, October 24–26, 2023
Paper Number: OTC-32978-MS
... classification, incorporating new techniques of artificial intelligence. The proposed classifier is already in use in Petrobras for offshore DDR classification. drilling operation machine learning deep learning natural language upstream oil & gas machine translation classification bert bilstm...
Proceedings Papers

Paper presented at the Offshore Technology Conference Brasil, October 29–31, 2019
Paper Number: OTC-29829-MS
.... By developing tools of deep learning, it was possible to analyze the fractures and compare the results with visual interpretation. In both cases, the results indicate the predominance of fractures along roughly N-S and E-W trends. The outcomes allow the comparison and correlation to the offshore geological...
Proceedings Papers

Paper presented at the Offshore Technology Conference Brasil, October 29–31, 2019
Paper Number: OTC-29904-MS
... Abstract Different parameters of a fully convolutional network (FCN) are experimented to evaluate which combination predicts sound velocity models from a single configuration of seismic modeling. The evaluation is made considering some fixed parameters of the deep learning model, such as number...
Proceedings Papers

Paper presented at the Offshore Technology Conference Brasil, October 29–31, 2019
Paper Number: OTC-29861-MS
..., a common fact in all is the need for a great number of computationally expensive reservoir simulations, hindering extensive optimizations. This paper proposes the use of deep learning algorithms in proxy models, in order to accurately replicate the behavior of the simulator by forecasting production based...
Proceedings Papers

Paper presented at the Offshore Technology Conference Brasil, October 29–31, 2019
Paper Number: OTC-29759-MS
... life extension machine learning fatigue damage subsea structure predictive maintenance schedule deep learning fe model neural network platform assessment ml model offshore structure API , Recommended Practice for Planning , Designing, and Constructing Fixed Offshore Platforms...
Proceedings Papers

Paper presented at the Offshore Technology Conference Brasil, October 29–31, 2019
Paper Number: OTC-29726-MS
... with the aim of supporting 3D geological modeling. The results are compared and validated with geological and petrophysical interpretation. Image-based facies recognition is challenging when applying Deep Learning techniques: 1/ the volume of released labeled data constrains the abilities to build a robust...

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