Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций
Конференция: Современная система ценностей. Теория и практика; Пенза; Пенза
Год издания: 2024
Ключевые слова: digital twin, oil and gas production, deep learning, the recurrent neural network, long and short term memory
Аннотация: Digital twins have become an effective tool for monitoring and diagnosing the state of oil and gas production processes. However, due to the complexity of production processes, traditional digital twin models may perform poorly. To address these issues, an improved long and short-term memory (LSTM) neural network is introduced to dПоказать полностьюigital twins to provide real-time diagnosis capabilities for the oil and gas production process. A digital twin model is constructed based on the physical model of oil and gas production processes to simulate the behavior of the real system. Surface data is then employed to estimate well data, which is subsequently used to train the LSTM neural network.
Номера страниц: 3-8
Место издания: Саратов