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Keywords: neural network
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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-32828-MS
... Artificial Neural Network in order to predict the emulsion dynamic viscosity of thirty (30) oils from Brazilian basins. The Artificial Neural Network used as inputs rheological data considering different values of temperature, shear rate, oil °API and water fraction in order to predict the dynamic viscosity...
Proceedings Papers

Paper presented at the Offshore Technology Conference Brasil, October 29–31, 2019
Paper Number: OTC-29829-MS
... drone offshore technology conference machine learning fracture structural geology neural network algorithm identify igneous rock complex reservoir deep learning technique dyke artificial intelligence Bemis , S.P. , Micklethwaite , S. , Turner , D. , James , M.R...
Proceedings Papers

Paper presented at the Offshore Technology Conference Brasil, October 29–31, 2019
Paper Number: OTC-29904-MS
... of the output model. The best combination was the one using the PReLU activation function with the Adamax optimizer. machine learning deep learning variation seismic modeling seismic data rmsprop leaky relu relu upstream oil & gas neural network activation function velocity model...
Proceedings Papers

Paper presented at the Offshore Technology Conference Brasil, October 29–31, 2019
Paper Number: OTC-29875-MS
... systems and equipment drilling parameter drilling performance workflow modeling sensitivity analysis bha drilling operation mud motor drilling equipment artificial intelligence neural network upstream oil & gas simulation of human behavior reliability physics-based simulation data...
Proceedings Papers

Paper presented at the Offshore Technology Conference Brasil, October 29–31, 2019
Paper Number: OTC-29861-MS
... if measured production noticeably deviates from the forecast. Two case studies were done, and the results indicate that a Long Short-Term Memory Network-based proxy is able to forecast production with a remarkably low error, validating the methodology and supporting its use. neural network forecasting...
Proceedings Papers

Paper presented at the Offshore Technology Conference Brasil, October 29–31, 2019
Paper Number: OTC-29759-MS
... and 10-year return period. The acceleration data is used to get the modal frequencies and calibrate the FE model. Also, the measured stress value is compared with the FE model generated stress value, and the FE model is further calibrated. Machine Learning Algorithm (Recurrent Neural Network) is used...
Proceedings Papers

Paper presented at the Offshore Technology Conference Brasil, October 29–31, 2019
Paper Number: OTC-29707-MS
... corpus machine learning representation natural language neural network application upstream oil & gas artificial intelligence offshore technology conference natural language processing algorithm vector space model Ashton , W. B. , and Stacey , G. 1995 . Technical...
Proceedings Papers

Paper presented at the Offshore Technology Conference Brasil, October 29–31, 2019
Paper Number: OTC-29726-MS
... Abstract This paper proposes an unsupervised neural network model for facies pattern recognition and formation characterization using borehole images. The goal is to create an automated workflow for rock fabric identification using high resolution acoustic or electrical borehole images...
Proceedings Papers

Paper presented at the Offshore Technology Conference Brasil, October 29–31, 2019
Paper Number: OTC-29728-MS
... step towards reducing the impact of incidents and accidents. Using computer vision, deep neural networks, and video footage, we created a web solution for analyzing the imagery in real-time and issuing alerts when a violation happens. For this specific domain, we accomplished the best results by using...
Proceedings Papers

Paper presented at the Offshore Technology Conference Brasil, October 29–31, 2019
Paper Number: OTC-29694-MS
... offshore. A data set of 448 MICP from the Pre-Salt carbonates of Barra Velha Formation was used to build the FZI-RRT model. The optimal number of RRTs, five in total, is determined by using an unsupervised neural network with capillary pressure parameters as inputs, permeability, effective porosity...
Proceedings Papers

Paper presented at the OTC Brasil, October 24–26, 2017
Paper Number: OTC-28015-MS
... mean std geological modeling data assimilation principal component analysis artificial intelligence facies model autoencoder realization neural network reservoir characterization C. C. Agbalaka and D. S. Oliver . Application of the EnKF and localization to automatic...
Proceedings Papers

Paper presented at the OTC Brasil, October 24–26, 2017
Paper Number: OTC-28109-MS
... unhealthy states. maintenance activity unhealthy condition availability sensor value compressor neural network deviation machine learning mathematical representation equipment malfunction health condition monitoring offshore technology conference artificial intelligence information...
Proceedings Papers

Paper presented at the OTC Brasil, October 4–6, 2011
Paper Number: OTC-22487-MS
..., following the success for MeOH-salt systems, MEG-salt systems, and several different KHIs-salt systems. An artificial neural network correlation has been developed for aqueous sample solutions containing ethanol and salts. This correlation covers a salt concentration from 0 to 10 mass% and ethanol...

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