This study offered a detailed review of data sciences and machine learning (ML) roles in
different petroleum engineering and geosciences segments such as petroleum exploration …

For an oil well to be said to have been successfully and conclusively drilled, the drilling fluid
lies at the heart of the solution. Therefore, the guarantee to solving issues in oil well drilling …

Highlights•BRR, KNN, SVM, DT, and ABR-DT intelligent models were proposed for
estimating water-base mud density.•A databank of 817 data points from five wells in the …

In this paper, an artificial neural network model was developed to predict the downhole
density of oil-based muds under high-temperature, high-pressure conditions. Six …

Drilling depleted and ultra-deep gas reservoirs required special drilling fluids which should
be capable of bridging along the walls of the well and withstands a high differential …

Exploration for oil and gas in increasingly difficult environments is constantly fueled by rising
world energy demand. Exploration is now extending into environmentally-sensitive regions …

The present work intended to develop an invert emulsion drilling mud from biodegradable
neem seed oil as an alternative to conventional diesel-based drilling mud. This would …

The term drilling fluids or drilling muds generally applies to fluids used to help maintain well
control and remove drill cuttings (rock fragments from underground geological formations) …

The main objective of this paper is to use experimental measurements of downhole
pressure, temperature and initial mud density to predict downhole density using multigene …

When water based muds fail to ensure that a usable hole is drilled, oil based mud
formulated with No. 2 diesel is adopted. Because No. 2 diesel is toxic, the oil and gas …