... 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...

... algorithms for building the sonic prediction models for drilling complex lithology rocks that have limestone, sandstone, shale, and carbonate formations. The input data for the models include the surface drilling parameters to predict the shear and compressional slowness. The study employed data set of 2888...

.... , 1971 , “ Measurement of Formation Pressure From Drilling Data ,” Fall Meeting of the Society of Petroleum Engineers of AIME , New Orleans, LA , Oct. 3–6 , p. 11 . [40] Gowida , A. , and Elkatatny , S. , 2020 , “ Prediction of Sonic Wave Transit Times From Drilling Parameters While...

... 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...

.... Most of the developed models used drilling parameters such as weight on bit (WOB), pumping rate (Q), and string revolutions per minute (RPM). Few researchers considered the effect of mud properties on ROP by including a small number of actual field measurements. This paper introduces a new robust model...