... such as at the end-of-tubing and due to system instabilities such as void waves. choke machine learning recurrent neural network pca bhr group mpt2019 flowline accuracy non-slugging condition production data deep learning upstream oil & gas dependency amplitude prediction classification...

.... Inclination angles varied from 30 ? to 70 ? from horizontal. The fluids used were air and water. Measurements included fluid velocities and reversal point. High-speed video cameras were used to record the flow regime transition (slug to annular) present in the system. Prediction using the film reversal models...

... they predict system dynamics such as time-varying changes in flow rates, fluid compositions, temperature, solids deposition and operational changes. In addition, field production monitoring with dynamic simulations is important in deep water and is used extensively in both offshore and onshore developments...

... A mechanistic model that predicts the separation of oil-water dispersed horizontal pipe flows was investigated. Different droplet diameter averages were implemented in the model and the accuracy of the resulting predictions was assessed by comparing each case against experimental data...

... control experimental data correlation production logging multiphase flow production monitoring entrainment fraction droplet entrainment two-fluid model equation prediction wave celerity pressure drop superficial gas velocity reservoir surveillance upstream oil & gas entrainment rate...

... ABSTRACT Two-phase flow in vertical wells is a common occurrence in oil and gas production. High-liquid viscosity two-phase upward vertical flow in wells and risers presents a new challenge for predicting pressure gradient and liquid holdup due to the poor understanding and prediction of flow...

... volumes. The results show that OLGA is unable to accurately predict both the total liquid and aqueous phase volumes when the actual sphere diameter is used, but this is improved when the sphere is modelled as larger than reality. Adjusting the leakage factor ‘through’ the sphere does not affect...

... was granted access to use the data for improving the accuracy of the pressure drop predictions in LedaFlow. The experimental results showed that a key element for predicting high-rate low liquid loading flows accurately is to account for the droplets that deposit on the walls in the gas zone, creating a wall...

... and thermodynamic wax models may affect the predictions of wax deposition rate and pigging frequency. The fluid flow models considered include the steady-state multiphase OLGAS® and Beggs-Brill model. The thermodynamic wax models of Coutinho and an ideal mixing approach will be compared. Real field cases...

... between reservoir pressure and oil bubble-point pressure, i.e. precipitation driving force. The objective of this study is to develop a predictive simulation tool to assess the risk of asphaltene precipitation in oil wells and to estimate the asphaltene risk window. Further objective is to use...

... ABSTRACT Wax deposition issue has become one of the primary Flow Assurance challenges for production and transportation of crude oil in the pipeline. The predictions of wax deposited thickness during various operations for crude oil export line and multiphase production line are imperatively...

... ABSTRACT This work provides a new method to directly predict the effect of hydrate formation on transient flow in oil & gas flowlines. The method couples established models for transient flow, fluid properties, and hydrate formation to allow for prediction of the severity of hydrate...

...-introducing the two-dimensional velocity profile in the pipe cross section. In this work, we compare the velocity profiles determined by OLGA HD against measured data from two-phase oil-water experiments. Additionally, we will show that good pressure drop predictions can be obtained even when...

...-of-the-box’ model predictions of pressure drop can differ from measured values by 20% or more. While model predictions of liquid holdup agree reasonably well – both mutually and against experimental data – for small-diameter pipes at gentle inclination, predictions vary by 50% or more under field conditions...

.... The predicted pressure, temperature and mass flow rates are in good agreement with the field measurements, regardless of the software version used. Prediction of the large diameter pipeline liquid content, validated by measurements inferred from the pigging operations, improved from version 1.8 to version 2.0...

... accumulation. At low flow rates, liquid surge wave instabilities in the flowlines occur. In the present paper, it is shown that the tuned flow model capture these surge waves. The model predicts that the water surge comes from the riser, while the condensate surge comes from the flowline. Details...

... to improve the overall holdup and pressure drop predictions significantly. ledaflow viscosity slug gas fraction experiment liquid pipe bubbly flow prediction fraction transition gas fraction multiphase flow regime production monitoring reservoir surveillance reynolds number equation...

... particles at the bottom of a horizontal pipe. It is this last definition that is used in this discussion. pipeline prediction multiphase flow danielson model critical velocity production control bhr group 18 sand concentration experimental data production logging friction velocity...

... ABSTRACT Using corrosion rate predictions, from either direct measurements or calculated corrosion rates, is not a new or novel approach. Both of these approaches have their own advantages and disadvantages. Corrosion, is a main pipeline degradation mechanism, and therefore understanding its...

...) adopted in a series of laboratory tests conducted in the Multiphase Flow Laboratory of TEA Sistemi. The transient behavior of the flow system, including the orifice, has also been predicted by means of a 1-D flow simulator [2]. The results of these simulations agree well with the experimental readings...