Results of bibliometric analysis and a detailed review are reported on the use of supervised
machine learning to study hazardous drilling events. The bibliometric analysis attempts to …

Drilling is one of the most challenging and expensive processes in hydrocarbon extraction
and geothermal well development. Dysfunctions faced during drilling can increase the non …

The identification of underground formation lithology can serve as a basis for petroleum
exploration and development. This study integrates Extreme Gradient Boosting (XGBoost) …

Lithofacies identification in carbonate reservoirs using conventional well logs is a typically
complex nonlinear problem due to influences of multiple factors, such as fluids and fractures …

Lithology identification is vital for reservoir exploration and petroleum engineering. Recently,
there has been growing interest in using an intelligent logging approach for lithology …

Reservoir identification is important for reservoir evaluation and petroleum development.
Existing methods cannot automatically identify the categories of the reservoir that exhibit:(a) …

Vibro-impact drilling has shown huge potential of delivering better rate of penetration,
improved tools lifespan and better borehole stability. However, being resonantly instigated …

The measurement information of the traditional conventional measurement while drilling
(MWD) method lags seriously because the installation position is far from the bit. However …

Lithology identification plays an important role in petroleum exploration. However, due to the
high cost of labeling by cores and cuttings, the application of semi-supervised method in …

Measure while drilling (MWD) refers to the acquisition of real-time data associated with the
drilling process, including information related to the geological characteristics encountered …