A machine learning-based method for analyzing factors influencing production capacity and production forecasting in fractured tight oil reservoirs

S Tong, F Wang, H Gao, W Zhu - International Journal of Hydrogen Energy, 2024 - Elsevier
In recent years, with the deepening of exploration and development theories for tight oil
reservoirs and the continuous breakthroughs in key engineering technologies, positive …

Patch-Transformer Modeling for Production Forecasting in Tight Gas Reservoirs: A Case Study of the Yan'an Field

N Fan, F Lai - Energy & Fuels, 2024 - ACS Publications
Accurate prediction of production rates in fractured horizontal gas wells is crucial for
optimizing development strategies in tight gas reservoirs. Traditional prediction methods …

An Adaptive Ensemble Approach Using Online Global and Local Models for Pump Pressure Prediction in Well Cementing Operations

Y Zhong, J Yang, M Xian, J Zhou, P Li - SPE Journal, 2024 - onepetro.org
In cementing operations, conventional methods for predicting wellhead pump pressure,
which rely on empirical and numerical models, often fall short regarding real-time accuracy …

Superposition Rate: A Developed Approach for Analyzing Production Data in Tight Gas Reservoirs

DJ Sadeq - The Iraqi Geological Journal, 2024 - igj-iraq.org
The paper examines the application of various methods to analyze production data in which
the superposition principle being one of them. This principle is divided into two main …