...) are developed and tested to predict flow rates from DAS. The proposed correlations are demonstrated for flow rates ranging from 50 to 300 gallons per minute (GPM) in a vertical 5,163-ft-deep wellbore and from 12 to 36 GPM in a horizontal surface flow loop. Tests were performed using a single-phase flow of water...

... with the experimental data, for the two-phase flows with Newtonian and non-Newtonian (power law and Bingham) liquid phase. Our mechanistic model predicts the pressure drop of the experimental data within ±20% error range, while it does not introduce any new empirical coefficient for the non-Newtonian case. This model...

... in oil production. Due to this fact, the prediction of scale precipitation has vital importance among petroleum engineers. In the current work, different intelligent models, including the decision tree, random forest (RF), artificial neural network (ANN), K-nearest neighbors (KNN), convolutional neural...

... unified hydraulic model that is applicable for both flow patterns. The liquid holdup prediction is based on the drift-flux model, while the pressure gradient is predicted using a two-fluid model that considers wall frictions from both gas and liquid phases. The new model better captures the effects of gas...

...Charles Logan Grim; Ahmed Al-Zubail Summary Current models for pressure drop in mesh pads are not adequate for pressure drop critical applications and do not cover the flooding regime commonly encountered when mesh pads are used as a coalescer. In addition, these models do not predict the flooding...

...Ahmed Sabaa; Mahmoud Abu El Ela; Ahmed H. El-Banbi; Mohamed H. M. Sayyouh Summary Production data are essential for designing and operating electrical submersible pump (ESP) systems. This study aims to develop artificial neural network (ANN) models to predict flow rates of ESP artificially lifted...

... as well as an accurate prediction of the magnitude of the scale buildup. The model is driven by two series of labeled, synthetic data comprising different scenarios generated using well simulation software, each series containing more than 20 sets of well data. Both single- and multioutput, deep neural...

... to estimate optimal stage pressures. Their correlations were suitable for volatile oil, and the result showed good agreement between pressure, volume, and temperature predicted from correlations and those estimated by solving the equation of state. separation and treating artificial intelligence...

...Hao Jia; Jianjun Zhu; Guangqiang Cao; Yingda Lu; Bo Lu; Haiwen Zhu Summary As a natural gas well ages, liquid loading is frequently encountered, leading to the decrease of gas production rate and many other side effects, which may in turn cease the gas production. Thus, to accurately predict liquid...

... data are compared with other studies to ensure the accuracy and repeatability of the tests. A quantitative method is developed to predict the onset of liquid loading, namely, the positive frictional pressure gradient (negative pressure drop). A comparison is made between the visual observations...

... to investigate the multiphase flow. However, many facets of multiphase flow are still unresolved owing to the extremely complex nature of the multiphase flow. The complex interactions of the different phases are leading to different flow regimes that are difficult to predict but essential for developing...

... value of H LS in SL/CH and SL/PS flow transitions, leading to a straightforward solution. Other models correlate H LS with different flow variables, resulting in an iterative solution for predicting these transitions. Using an experimental database collected from the open literature, two empirical...

... exhibits a decrease in superficial gas velocity ( V sg ) with the increase in V sl at slug/churn (the transition concave to the left). The other one predicts an increase in V sg with increasing of V sl (the transition concave to the right). Analysis of the data set reveals that on the V sg / V sl flow map...

.... Traditionally, ICV field tests, evaluating well performance at different ICV settings, are conducted to observe flow behavior and configure ICVs; however, this is often suboptimal. This study investigated a surrogate-based optimization algorithm that minimizes the number of ICV field tests required, predicts...

... flow deviation from horizontal. Also, the analyses reveal that for inclined viscous flow, the slug frequency and slug length follow the same inverse relationship shown in horizontal and vertical slug flows. In the literature, several models have been developed for predicting slug frequency in viscous...

...Nasser M. Al-Hajri; Abdullah Al-Ghamdi; Zeeshan Tariq; Mohamed Mahmoud Summary This paper presents a data‐driven methodology to predict calcium carbonate (CaCO 3 )‐scale formation and design its inhibition program in petroleum wells. The proposed methodology integrates and adds to the existing...

... task to decide on the optimal strategy of manipulating the inflow control valve (ICV) settings over time for best performance. In this study, we investigate using machine learning to analyze and predict well performance given different ICV settings to ultimately maximize the well output. A commercial...

...C.. Vasquez; E.. Pereyra; K.. Sambath Summary In this study we present a review of fluid–particle–size prediction models and a comprehensive database acquired from the open literature. The study is restricted to bubbles and droplets that are also called fluid particles. The data have been...

... new data on droplet sizes under different shear conditions in oil/water flow and compare these data with model predictions. New experimental data on droplet‐size distribution are acquired for a gear pump (configured in a closed loop) with an inline camera, using the bead‐sizing tool. The acquired data...

...Hamdi Mnasri; Taoufik Wassar; Matthew A. Franchek; Egidio (Ed) Marotta Summary In this work we expand on the carbon dioxide (CO 2 ) corrosion–rate model presented by DeWaard et al. (1995) using a parameter–varying (PV) approach to improve prediction accuracy. Specifically, the constant coefficients...