A comparative analysis of bubble point pressure prediction using advanced machine learning algorithms and classical correlations
The need for fluid properties or PVT (Pressure-Volume-Temperature) properties, is part of
the entire Exploration and Production (E&P) lifecycle from exploration to mature asset …
the entire Exploration and Production (E&P) lifecycle from exploration to mature asset …
A novel empirical correlation for waterflooding performance prediction in stratified reservoirs using artificial intelligence
Water has been used as an injected fluid for decades to improve oil recovery, commonly
known as waterflooding. Simulating this process is very expensive, especially for the post …
known as waterflooding. Simulating this process is very expensive, especially for the post …
New empirical equation to estimate the soil moisture content based on thermal properties using machine learning techniques
Abstract Information about soil moisture content is crucial for the sustenance of agricultural
system because it helps to make decision on irrigation scheduling and water management …
system because it helps to make decision on irrigation scheduling and water management …
A new technique to develop rock strength correlation using artificial intelligence tools
Unconfined compressive strength (UCS) is the key parameter to; estimate the insitu stresses
of the rock, design optimal hydraulic fracture geometry and avoid drilling problems like …
of the rock, design optimal hydraulic fracture geometry and avoid drilling problems like …
Real-time prognosis of flowing bottom-hole pressure in a vertical well for a multiphase flow using computational intelligence techniques
An accurate prediction of well flowing bottom-hole pressure (FBHP) is highly needed in
petroleum engineering applications such as for the field production optimization, cost per …
petroleum engineering applications such as for the field production optimization, cost per …
Oil and gas wells: Enhanced wellbore casing integrity management through corrosion rate prediction using an augmented intelligent approach
DA Al-Shehri - Sustainability, 2019 - mdpi.com
Wellbore integrity management for oil and gas wells plays a vital role throughout the typical
lifespan of a well. Downhole casing leaks in oil-and gas-producing wells significantly affect …
lifespan of a well. Downhole casing leaks in oil-and gas-producing wells significantly affect …
New correlations to predict oil viscosity using data mining techniques
Oil viscosity is used in any fluid transport calculation in both subsurface and surface
conditions. It is possible to determine oil viscosity from laboratory measurements or …
conditions. It is possible to determine oil viscosity from laboratory measurements or …
Intelligent Prediction of Minimum Miscibility Pressure (MMP) During CO2 Flooding Using Artificial Intelligence Techniques
Carbon dioxide (CO2) injection is one of the most effective methods for improving
hydrocarbon recovery. The minimum miscibility pressure (MMP) has a great effect on the …
hydrocarbon recovery. The minimum miscibility pressure (MMP) has a great effect on the …
Data-driven modeling approach to predict the recovery performance of low-salinity waterfloods
Low-salinity waterflooding (LSWF) has, in the past decade, attained a lot of attention to
enhance oil recovery. In LSWF, diluted water is injected into an oil reservoir to improve oil …
enhance oil recovery. In LSWF, diluted water is injected into an oil reservoir to improve oil …
Machine learning-based improved pressure–volume–temperature correlations for black oil reservoirs
Abstract Pressure–volume–temperature (PVT) properties of crude oil are considered the
most important properties in petroleum engineering applications as they are virtually used in …
most important properties in petroleum engineering applications as they are virtually used in …