Intelligent Prediction for Rock Porosity While Drilling Complex Lithology in Real Time

Table 1

Different correlations for porosity prediction that were developed using AI.

Input parameters	Data points	Formation	R	Methods	Ref.
Density, neutron porosity, and sonic compressional time	1700	Carbonate	0.98	ANN, SVM, ANFIS	[38]
Deep resistivity, density, neutron porosity, and gamma-ray	420	Sandstone	0.93	Fuzzy, ANN	[39]
GR, bulk density, resistivity, neutron porosity, and sonic travel time plus lithofacies and stratigraphic information	1000	Carbonate and unconventional	0.98	ANN	[40]
ROP, Q, RPM, SPP, T, WOB	2800	Carbonate	0.96	ANN	[41]
ROP, RPM, WOB, T, depth, SPP, Q, and mechanical specific energy	89549	Sandstone and shale	0.6	ANN	[42]