Modelling oil and gas flow rate through chokes: A critical review of extant models

OE Agwu, EE Okoro, SE Sanni - Journal of Petroleum Science and …, 2022 - Elsevier
Oil and gas metering is primarily used as the basis for evaluating the economic viability of oil
wells. Owing to the economic implications of oil and gas metering, the subject of oil and gas …

Robust hybrid machine learning algorithms for gas flow rates prediction through wellhead chokes in gas condensate fields

ARB Abad, H Ghorbani, N Mohamadian, S Davoodi… - Fuel, 2022 - Elsevier
Condensate reservoirs are the most challenging hydrocarbon reservoirs in the world. The
behavior of condensate gas reservoirs regarding pressure and temperature variation is …

Improved predictions of wellhead choke liquid critical-flow rates: modelling based on hybrid neural network training learning based optimization

A Choubineh, H Ghorbani, DA Wood, SR Moosavi… - Fuel, 2017 - Elsevier
Published relationships typically consider liquid critical-flow rate through wellhead chokes of
producing oil wells as functions of wellhead pressure, choke size and gas-liquid ratio. Such …

Prediction performance advantages of deep machine learning algorithms for two-phase flow rates through wellhead chokes

HS Barjouei, H Ghorbani, N Mohamadian… - Journal of Petroleum …, 2021 - Springer
Two-phase flow rate estimation of liquid and gas flow through wellhead chokes is essential
for determining and monitoring production performance from oil and gas reservoirs at …

Prediction of gas flow rates from gas condensate reservoirs through wellhead chokes using a firefly optimization algorithm

H Ghorbani, J Moghadasi, DA Wood - Journal of Natural Gas Science and …, 2017 - Elsevier
Numerous empirical correlation models for predicting wellhead flow rates have been
proposed. Here we apply a recently developed model based upon extensive data from the …

Predicting liquid flow-rate performance through wellhead chokes with genetic and solver optimizers: an oil field case study

H Ghorbani, DA Wood, J Moghadasi… - Journal of Petroleum …, 2019 - Springer
None of the various published models used to predict oil production rates through wellhead
chokes from fluid composition and pressures can be considered as a universal model for all …

Prediction of surface oil rates for volatile oil and gas condensate reservoirs using artificial intelligence techniques

R Al Dhaif, AF Ibrahim… - Journal of energy …, 2022 - asmedigitalcollection.asme.org
Allocated well production rates are crucial to evaluate the well performance. Test separators
and flowmeters were replaced with choke formulas due to economic and technical issues …

Prediction of gas-liquid two-phase choke flow using Gaussian process regression

Y Jiang, J Jia, Y Li, Y Kou, S Sun - Flow Measurement and Instrumentation, 2021 - Elsevier
In the process of shale gas production, it is of great significance to select an appropriate
mathematical method to accurately predict the gas flow rate of wellhead choke for the …

Adaptive neuro-fuzzy algorithm applied to predict and control multi-phase flow rates through wellhead chokes

H Ghorbani, DA Wood, N Mohamadian… - Flow Measurement and …, 2020 - Elsevier
A Takagi-Sugeno adaptive neuro-fuzzy inference system (TSFIS) model is developed and
applied to a dataset of wellhead flow-test data for the Resalat oil field located offshore …

Application of artificial intelligence to estimate oil flow rate in gas-lift wells

MR Khan, Z Tariq, A Abdulraheem - Natural Resources Research, 2020 - Springer
Optimization and monitoring schemes for oil well and reservoir system require accurate
estimation of production rate. Real-time monitoring is conducted typically using flow …