Accurate prediction of hydrocarbon production is crucial for the oil and gas industry.
However, the strong heterogeneity of underground formation, the inconsistency in oil–gas …

Accurate and efficient prediction of well production is essential for extending a well's life
cycle and improving reservoir recovery. Traditional models require expensive computational …

Oil production estimation plays a critical role in economic plans for local governments and
organizations. Therefore, many studies applied different Artificial Intelligence (AI) based …

Oil production forecasting is one of the essential processes for organizations and
governments to make necessary economic plans. This paper proposes a novel hybrid …

To overcome the shortcomings in current study of oil well production prediction, we propose
a combined model (CNN-LSTM-SA) with the convolutional neural network (CNN), the long …

The focus of this paper is on application of advance data analytics and deep machine
learning methods for time series forecasting of injection/production data from subsurface …

As real production data of a well have an irregular pattern, accurate prediction of oil rate
demands a powerful model to capture the non-linear behavior of data. In addition to the …

In the oil and gas industries, predicting and classifying oil and gas production for
hydrocarbon wells is difficult. Most oil and gas companies use reservoir simulation software …

Reservoir parameter inversion is an important technique in oil and gas exploration and
development that can estimate the reservoir physical properties, such as skin factor and …

Accurate production forecasting is crucial to the decision making process and evaluation of
investment scenario both in conventional and unconventional reservoirs. Deep Learning …