... 03 03 2022 acoustic logs drilling parameters real-time adaptive neuro-fuzzy inference system support vector machines petroleum engineering petroleum wells-drilling/production/construction The rock acoustic data are considered a key log among the well logs data as it provides...

... and machine learning (AI/ML) has become essential. Unfortunately, due to the harsh environments of drilling and the data-transmission setup, a significant amount of the real-time data could defect. The quality and effectiveness of AI/ML models are directly related to the quality of the input data; only...

... the data by data-quality experts. The objective of this paper is to evaluate the effectiveness of ML on improving the real-time drilling-data quality and compare it to human expert knowledge. To achieve that, two large real-time drilling datasets were used; one dataset was used to train three different ML...

... parameters for the developed model showed a high correlation coefficient between the predicted and the actual drillstring vibrations that showed R higher than 0.95 and AAPE below 3.5% for all phases of model training, testing, and validation. The developed model proposed a model-based equation for real-time...

... of compressional and shear slowness (ΔT c and ΔT s ) are considered costly and time-consuming operations. The target of this paper is to propose machine learning models for predicting the sonic logs from the drilling data in real-time. Decision tree (DT) and random forest (RF) were employed as train-based...

... work or empirical correlation from logging data are time consuming and highly cost. To overcome these drawbacks, this paper utilized the help of artificial intelligence (AI) to predict (in a real-time) the rock strength from the drilling parameters using two AI tools. Random forest (RF) based...

... and formation characteristics, and others are based on log data. In this study, five artificial intelligence (AI) techniques predicting fracture pressure were developed and compared with the existing empirical correlations to select the optimal model. Real-time data of surface drilling parameters from one well...