This paper mainly focuses on the modeling of oil well pressure data compensation system(OWPCS) based on Neural Networks(NN).
Feb 1, 2024 · It has been proven that the model can predict oil production accurately and outperform other models with a correlation coefficient reaching 0.99874.
The developed ANN models were based on Gilbert and modified Gilbert forms of equation for predicting wellhead pressure - flow rate relationship.
The LSTM-BP model not only extracts data features from dynamic changes but also combines the efficient nonlinear data fitting capabilities of BP neural networks ...
A Neural Network Based Approach for Measurement Dynamics Compensation. Article. Full-text available. Jul 2002.
Artificial Neural Network (ANN) is used to estimate reservoir parameters from well test data. Theoretical pressure derivative curves, generated by the ...
This study aims to predict the initial production capacity of tight oil horizontal wells by using a small dataset of 650 data points through a DNN model.
Mar 9, 2021 · Integrated gas lift system optimization plays an indispensable role in production and economics by maximizing the revenue from a gas lift ...
With the rise of high-performance computers, numerical reservoir simulators became popular among engineers to evaluate reservoirs and develop the fields.
Oct 3, 2022 · This work combines genetic algorithm optimization and artificial neural networks to identify and characterize homogeneous reservoir systems from well-testing ...
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