The Use of Artificial Neural Networks for Prediction of Water in Oil Emulsions' Viscosity from Brazilian Light Oils

RS Oliveira, TA Souza, VRR Ahón - Offshore Technology Conference …, 2023 - onepetro.org
Brazilian offshore activity has increased substantially in recent years, with many new oil
fields being developed, and there is also a significant investment in the maintenance and …

Predicting Emulsion Viscosity Using Artificial Intelligence

VHC Silva, TA Souza, VRR Ahón - Offshore Technology Conference …, 2023 - onepetro.org
Abstract Water-in-oil (W/O) emulsions are present in some stages of exploration and
operation of oil fields. Therefore, it is important to define the dynamic viscosity behavior of …

AI based water-in-oil emulsions rheology model for value creation in deepwater fields production management

TG Silva, LK Miyatake, RM Barbosa… - Offshore Technology …, 2021 - onepetro.org
This work aims to present a new paradigm in the Exploration & Production (E&P) segment
using Artificial Intelligence for rheological mapping of produced fluids and forecasting their …

Stochastic analyses on relative viscosity of water-in-oil emulsions

AM Sousa, MJ Pereira, HA Matos - Computer Aided Chemical Engineering, 2020 - Elsevier
Have not only water-in-oil emulsions been a ubiquitous flow assurance challenge in oilfield
operations, but also future perspectives suggest its increasing importance. In fact, as oil …

Experimental model of emulsion viscosity during water-based EOR: Effect of water content and pressure

M Shafiei, GM Shirazi, Y Kazemzadeh, M Riazi - 2022 - researchsquare.com
Emulsion formation during production from oil reservoirs or even on the surface is one of the
common phenomena in the oil industry. Viscosity and stability of emulsions are very …

Prediction of the viscosity of water-in-oil emulsions

S Nasery, S Hoseinpour, LTK Phung… - Petroleum Science and …, 2016 - Taylor & Francis
ABSTRACT Water-in-oil (W/O) emulsions occur in different parts of petroleum recovery and
since their properties are different from those of crude oil and water, it is essential to find …

Use of artificial neural networks for predicting water separation in water oil emulsion

AS Hamadi, MK Jassim, TA Mahmood - AIP Conference Proceedings, 2020 - pubs.aip.org
An accurate prediction of the dehydration of a crude oil is necessary for design, selection
and petroleum operations. The aim of this research was to predict the separation of water …

Prediction of the apparent viscosity of non-Newtonian water-in-crude oil emulsions

W Wei, W Pengyu, K Li, D Jimiao, WU Kunyi… - Petroleum Exploration …, 2013 - Elsevier
On the basis of the effective medium theory and the classical viscosity prediction model
proposed by Pal et al, the apparent viscosity and rheological properties of the water in crude …

Apparent viscosity prediction of non-Newtonian water-in-crude oil emulsions

D Dan, G Jing - Journal of Petroleum Science and Engineering, 2006 - Elsevier
A new viscosity model for predicting non-Newtonian emulsions is proposed. Empirical and
theoretical relationships are developed to describe the apparent viscosity vs. water cut …

A new method for calculating the viscosity of W/O and O/W emulsion

S Shi, Y Wang, Y Liu, L Wang - Journal of Petroleum Science and …, 2018 - Elsevier
The viscosity of water-in-oil and oil-in-water emulsions is a key parameter to understand
during oil exploitation and transportation. Water content increases with the extraction of …