[HTML][HTML] Bottom hole pressure estimation using hybridization neural networks and grey wolves optimization

MN Amar, N Zeraibi, K Redouane - Petroleum, 2018 - Elsevier
An effective design and optimum production strategies of a well depend on the accurate
prediction of its bottom hole pressure (BHP) which may be calculated or determined by …

Predicting bottomhole pressure in vertical multiphase flowing wells using artificial neural networks

IE Jahanandish, B Salimifard, H Jalalifar - Journal of Petroleum science …, 2011 - Elsevier
Over the years, accurate prediction of pressure drop has been of vital importance in vertical
multiphase flowing oil wells in order to design an effective production string and optimum …

Real-time prognosis of flowing bottom-hole pressure in a vertical well for a multiphase flow using computational intelligence techniques

Z Tariq, M Mahmoud, A Abdulraheem - Journal of Petroleum Exploration …, 2020 - Springer
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 …

Artificial neural network model for predicting bottomhole flowing pressure in vertical multiphase flow

EA Osman, MA Ayoub, MA Aggour - SPE middle east oil and gas show …, 2005 - onepetro.org
Accurate prediction of pressure drop in vertical multiphase flow is needed for effective
design of tubing and optimum production strategies. Several correlations and mechanistic …

[HTML][HTML] An artificial neural network visible mathematical model for real-time prediction of multiphase flowing bottom-hole pressure in wellbores

CC Nwanwe, UI Duru, C Anyadiegwu, AIB Ekejuba - Petroleum Research, 2023 - Elsevier
Accurate prediction of multiphase flowing bottom-hole pressure (FBHP) in wellbores is an
important factor required for optimal tubing design and production optimization. Existing …

[HTML][HTML] An adaptive neuro-fuzzy inference system white-box model for real-time multiphase flowing bottom-hole pressure prediction in wellbores

CC Nwanwe, UI Duru - Petroleum, 2023 - Elsevier
The majority of published empirical correlations and mechanistic models are unable to
provide accurate flowing bottom-hole pressure (FBHP) predictions when real-time field well …

A new methodology for prediction of bottomhole flowing pressure in vertical multiphase flow in Iranian oil fields using artificial neural networks (ANNs)

M Mohammadpoor, K Shahbazi, F Torabi… - SPE Latin America and …, 2010 - onepetro.org
Abstract In this paper, Artificial Neural Networks (ANN) are used to predict the bottom-hole
flowing pressure in vertical multiphase flow. Two-phase flow of gas and liquids is commonly …

A robust model for computing pressure drop in vertical multiphase flow

A Ebrahimi, E Khamehchi - Journal of Natural Gas Science and …, 2015 - Elsevier
The pressure drop in tubing constitutes a major part of the total pressure drop. However, its
calculation is very complex due to the possibility of presence of multiple phases. A number …

An automated flowing bottom-hole pressure prediction for a vertical well having multiphase flow using computational intelligence techniques

Z Tariq - SPE Kingdom of Saudi Arabia Annual Technical …, 2018 - onepetro.org
The need for accurate estimation of flowing bottom-hole pressure (FBHP) is owning an
immense importance in petroleum engineering applications such as continuous field …

Determination of pressure drops in flowing geothermal wells by using artificial neural networks and wellbore simulation tools

A Bassam, AÁ del Castillo, O García-Valladares… - Applied Thermal …, 2015 - Elsevier
A new predictive approach based on artificial neural networks (ANN) and wellbore
numerical simulation for the determination of pressure drops in flowing geothermal wells …