... 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...

...Prediction of asphaltene precipitation risk in oil wells using a coupled hydro-thermodynamic model E Al-Safran Petroleum Engineering Department, Kuwait University, Kuwait ABSTRACT Asphaltene precipitation and deposition is a major flow assurance challenge, which manifests itself in reservoir...

... 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 required to support the process engineering design and field operations. However, empirical heat and mass transfer...

... 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 formation in transient operations and rapid...

...Velocity profiles in stratified two-phase flow: Comparison of measurements and model predictions P Andersson, J Henriksson Schlumberger, SNTC, Norway ABSTRACT One-dimensional models of multiphase flow in pipes are based on averages over the pipe cross section, and traditional models rely on bulk...

... influences the dynamics of pipeline pressure, and liquid content and outlet rates; production rates span the region of transition between separated and slug flow regimes. Out-of-the-box model predictions of pressure drop can differ from measured values by 20% or more. While model predictions of liquid...

... complex reservoir lf 2 mass flow rate relative error upstream oil & gas production monitoring production logging condensate reservoir operation pipeline prediction field data flow rate pipeline pl1 bhr group 18 pipeline pl3 reservoir surveillance international conference...

... Åsgard subsea compression and predictions of liquid surges G R Setyadi, K Holmås, G G Lunde, K Vannes, A Sengebusch TechnipFMC, Norway M Nordsveen, B H Pettersen Statoil, Norway 1 ABSTRACT An online Flow Assurance Simulator (FAS) has been developed for the Åsgard subsea compression (ÅSC) system...

..., was subsequently used to derive improved closure laws for LedaFlow, with particular emphasis on the difficult churn flow regime. The new models were found to improve the overall holdup and pressure drop predictions significantly. NOMENCLATURE C0 Distribution parameter dbubble Small bubble diameter [m] D Pipe...

... design to ensure sand transportation at low velocities. The work reported in this paper focused on an assessment on MTC models developed for liquid/sand flows and gas/liquid/sand flows. A literature review was conducted on published prediction methods with regard to sand transportation. A selective set...

...Improving CO2 corrosion rate predictions through the use of corrosion assessment and flow modelling A field case study L Barton 1, M Forde 1, A Pinto 1, I Laing 1, R Ladwa 2 1 ROSEN UK, Corrosion Management Group, UK 2 ROSEN Group, Flow Assurance, Switzerland ABSTRACT Using corrosion rate...

.... 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, thus providing a powerful method to monitor severe slugging by means of low cost instrumentation...