A Gas Well Production Prediction Model Based on Time-convolutional Neural Network
Year: 2024
Type: article
Abstract: This paper explores gas well production prediction, a crucial aspect of gas field development planning and analysis. Traditional methods like decline curve analysis and numerical simulation have limitations due to their reliance on simple mathematical models. In contrast, machine learning offers a more flexible approach. The study applies a Temporal Convolutional Network (TCN) model to predict production for two gas wells. The model's performance was evaluated using MSE, MAE, RMSE, and R², with results showing the TCN method achieving better accuracy. The TCN model presents a promising new approach for gas well production forecasting.
DOI: 10.54097/55rtys84
Author: Long Zhang
Language: English
Subfield: Ocean Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4404146861