Porosity Prediction Using An Artificial Intelligence Random Forest Mechanism At The Menzel Ladjmet Field - Berkine Basin -

Abstract

The note discusses the use of artificial intelligence in predicting porosity using the Random Forest mechanism. Challenges to traditional porosity predictions and the importance of applying artificial intelligence in this context are reviewed. Then a detailed explanation of the Random Forest mechanism and how to use it in predicting porosity was presented. Previous studies that demonstrated the effectiveness of using the Random Forest mechanism in improving the accuracy of porosity prediction are discussed. However, the use of AI in porosity prediction faces challenges such as obtaining high-quality training data and noise processing. It is emphasized that the use of artificial intelligence in porosity prediction represents a huge development in the scientific and engineering fields. This technique can improve our understanding of rock properties and contribute to improving our ability to predict porosity with greater accuracy. It can also promote resource exploration and extraction, achieve cost savings and reduce environmental impact.