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Keywords: deep learning
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Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Caspian Technical Conference and Exhibition, November 26–28, 2024
Paper Number: SPE-223476-MS
... Abstract Manual seismic interpretation has long been the backbone of E&P workflows however it is a process that demands significant time and a highly skilled interpreter. Artificial intelligence (AI) technology, specifically those that utilise deep learning convolutional neural networks...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Caspian Technical Conference and Exhibition, November 26–28, 2024
Paper Number: SPE-223468-MS
... typically process 50 attributes per day. Much fruitful work has been done on research to obtain the first results appeared in the ERP system. deep learning machine learning artificial intelligence large language model declaration custom extraction model custom declaration application facility...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Caspian Technical Conference and Exhibition, November 26–28, 2024
Paper Number: SPE-223464-MS
... core construction framework combining multi-source experimental data with generative deep learning algorithms called MSED-GDL is proposed for quick and efficient reconstruction of the digital core. The framework begins with a U-net based autoencoder that encodes three-dimension (3D) images...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Caspian Technical Conference and Exhibition, November 21–23, 2023
Paper Number: SPE-217566-MS
...) and Continuous Wavelet Transform. By merging well data and seismic information using signal processing and deep learning, accurate forecasts of Gamma Ray values were accomplished. It's worth noting that this manuscript constitutes as a continuation of the scientific research project initiated by Shahsenov et al...
Proceedings Papers
E. Yudin, A. Andrianova, D. Isaev, O. Kobzar, G. Mosyagin, M. Gudilov, M. Polinov, A. Shestakov, T. Ganeev
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Caspian Technical Conference and Exhibition, November 21–23, 2023
Paper Number: SPE-217526-MS
... equipment. This paper applies an algorithm to reconstruct flow rate dynamics in an unstable wells based on deep learning models, specifically using a neural network model that learns from the large amount of information coming from telemetry sensors installed on wells and downhole equipment. In addition...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Annual Caspian Technical Conference, November 15–17, 2022
Paper Number: SPE-212088-MS
... choice. Furthermore, another deep learning model is deployed to generate well logs for the following sections which supports optimizing ROP and drilling performance. deep learning machine learning prediction artificial intelligence regression neural network algorithm information random...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Annual Caspian Technical Conference, October 5–7, 2021
Paper Number: SPE-207001-MS
... maintenance on wells, the surface network, and a gas plant thus helping in avoiding large negative impacts caused by high ambient temperature. machine learning upstream oil & gas prediction operation artificial intelligence facebook prophet algorithm ambient temperature heat transfer deep...
Proceedings Papers
Sergey Borozdin, Anatoly Dmitrievsky, Nikolai Eremin, Alexey Arkhipov, Alexander Sboev, Olga Chashchina-Semenova, Leonid Fitzner, Elisaveta Safarova
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Annual Caspian Technical Conference, October 21–22, 2020
Paper Number: SPE-202546-MS
... fluid loss control production control annular pressure drilling drilling fluid selection and formulation artificial intelligence drilling equipment deep learning machine learning data mining wellbore integrity drilling fluids and materials drilling operation drilling fluid formulation...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Annual Caspian Technical Conference, October 16–18, 2019
Paper Number: SPE-198411-MS
... methods to refine the results. neural network information representation deep learning prediction machine learning Upstream Oil & Gas refinment reservoir proxy model recurrent neural network equation algorithm reservoir model society of petroleum engineers input sequence...