Implementation of Instrumentalised Virtual Multiphase Flow Metering Technology in the Wells of the Vostochno-Makarovskoye Gas Condensate Field

2020 ◽  
Author(s):  
Andrey Zozulya ◽  
Vladimir Baranov ◽  
Mikhail Miletski ◽  
Konstantin Rymarenko ◽  
Marat Nukhaev ◽  
...  
Keyword(s):  
Multiphase Flow ◽  
Liquid Hydrocarbon ◽  
Operating Conditions ◽  
Gas Condensate ◽  
Flow Measurements ◽  
Hydrocarbon Production ◽  
Flow Meters ◽  
Well Production ◽  
Track Record ◽  
Flow Metering

Summary Liquid hydrocarbon quantity optimization is among key technological indicators in the gas condensate fields development. To achieve it one needs to select and maintain optimal well-operating conditions. In this case, multiphase flow measurements are prioritized as an important optimization tool. The article presents a proven record of implementing the technology of instrumentalised virtual multiphase flow metering in the wells of the Vostochno-Makarovskoye gas condensate field to increase the efficiency of liquid hydrocarbon production. Virtual flow metering technologies that use modeling methods and adapt models to actual well-operating parameters aiming at determining well production rates are becoming increasingly popular. At that, the quality of the data at the model input does not often guarantee a qualitative determination of multiphase flow parameters. This article presents a track record of building a virtual multiphase flow meter based on single-phase streamer flow meters mounted on gas wells. Venturi flow meters were used. A series of well tests were conducted in various modes. To configure the streamer model, additional tuning studies were conducted on the separator. While testing the wells, the results of constructing a streamer model were verified by nodal analysis.

Monitoring the composition of gas condensate well streams based on samples taken from multiphase flow meters

2021 ◽  
pp. 127-139
Author(s):  
E. A. Gromova ◽  
S. A. Zanochuev
Keyword(s):  
Multiphase Flow ◽  
Oil And Gas ◽  
Gas Condensate ◽  
Flow Meters ◽  
Gas Condensate Reservoirs ◽  
Reliable Estimation ◽  
Development Control ◽  
Hydrocarbon System ◽  
Labor Consuming

The article highlights the relevance of reliable estimation of the composition and properties of reservoir gas during the development of gas condensate fields and the complexity of the task for reservoirs containing zones of varying condensate content. The authors have developed a methodology that allows monitoring the composition of gas condensate well streams of similar reservoirs. There are successful examples of the approach applied in Achimov gas condensate reservoirs at the Urengoy oil and gas condensate field. The proposed approach is based on the use of the so-called fluid factors, which are calculated on the basis of the known component compositions of various flows of the studied hydrocarbon system. The correlation between certain "fluid factors" and the properties of reservoir gas (usually determined by more labor-consuming methods) allows one to quickly obtain important information necessary to solve various development control tasks.

Artificial Intelligence and Data Analytics for Virtual Flow Metering

2021 ◽  
Author(s):  
Anton Gryzlov ◽  
Liliya Mironova ◽  
Sergey Safonov ◽  
Muhammad Arsalan
Keyword(s):  
Machine Learning ◽  
Multiphase Flow ◽  
Real Time ◽  
Production Control ◽  
Measurement Data ◽  
Sufficient Accuracy ◽  
Operating Conditions ◽  
Machine Learning Techniques ◽  
Flow Metering ◽  
Oil Gas

Abstract Modern challenges in reservoir management have recently faced new opportunities in production control and optimization strategies. These strategies in turn rely on the availability of monitoring equipment, which is used to obtain production rates in real-time with sufficient accuracy. In particular, a multiphase flow meter is a device for measuring the individual rates of oil, gas and water from a well in real-time without separating fluid phases. Currently, there are several technologies available on the market but multiphase flow meters generally incapable to handle all ranges of operating conditions with satisfactory accuracy in addition to being expensive to maintain. Virtual Flow Metering (VFM) is a mathematical technique for the indirect estimation of oil, gas and water flowrates produced from a well. This method uses more readily available data from conventional sensors, such as downhole pressure and temperature gauges, and calculates the multiphase rates by combining physical multiphase models, various measurement data and an optimization algorithm. In this work, a brief overview of the virtual metering methods is presented, which is followed by the application of several advanced machine-learning techniques for a specific case of multiphase production monitoring in a highly dynamic wellbore. The predictive capabilities of different types of machine learning instruments are explored using a model simulated production data. Also, the effect of measurement noise on the quality of estimates is considered. The presented results demonstrate that the data-driven methods are very capable to predict multiphase flow rates with sufficient accuracy and can be considered as a back-up solution for a conventional multiphase meter.

A Novel Approach to Multiphase Flow Metering Using PIV and Tracer Dilution

2012 ◽  
Vol 508 ◽  
pp. 71-74
Author(s):  
Charles Adam Uleh ◽  
Jian Yong Zhang ◽  
Dong Lai Xu ◽  
Ian French
Keyword(s):  
Multiphase Flow ◽  
Flow Rate ◽  
Liquid Hydrocarbon ◽  
Laser Source ◽  
Liquid Chromatograph ◽  
Computer Data ◽  
Actual Measurement ◽  
Flow Metering ◽  
Novel Approach ◽  
Tracer Particles

This paper introduces a prototype multiphase flow metering system, named Uletech, for multiphase flow measurement. The Uletech Multiphase Flow Meter (UMFM) is based on the combination of particle recognition and the use of Laser Imaging Technology in the form of Particle Imaging Velocimetry (PIV). PIV uses tracer particles which follow the gas or liquid phase. The high resolution digital laser cameras identify/recognize all the different sizes of particle (gas, oil and water) in a multiphase flow. The cameras have sufficiently high resolutions (pixel size) to "see" the tracer particles. The prevailing conditions of high pressure and temperature of the flow regimes makes actual measurement a great challenge. The velocity differences between phases (hold up and slip) means unless the velocities of individual phases and concentrations are known, the true flow rate is practically impossible to obtain. The system comprised of two cameras, laser source, optical arrangement, computer data acquisition system, synchronizer and MATLAB based software. An algorithm that correlates the cameras view to the volume within the pipe has been developed through this research. The computer acquires image signals from the upstream and/or downstream cameras, and carries out the calculation of cross correlation between the two image frames so that the velocity of each pixel can be found. A Gas Liquid Chromatograph (GLC) provides the composition (concentration) of the gas and the liquid hydrocarbon (HC). The product of phase velocity and phase concentration provides the flow rate of the individual phase. This work provides theoretical analysis and experimental validations, and discusses the advantages of the system and its further development.

Results from First Campaign of Field Testing of Multiphase Flow Meters Conducted in Saudi Arabian Wet Gas-Condensate Producers.

2013 ◽  
Author(s):  
Ruben Villegas Rodriguez ◽  
Jairo A. Leal ◽  
Shahid Hussain ◽  
Mohammed Atwi ◽  
Azmi Ruwaished ◽  
...  
Keyword(s):  
Multiphase Flow ◽  
Saudi Arabian ◽  
Field Testing ◽  
Gas Condensate ◽  
Flow Meters ◽  
Wet Gas

scholarly journals Self-Calibration of Ultrasonic Water Flow Meter

2019 ◽  
Vol 8 (4) ◽  
pp. 6011-6017
Keyword(s):  
Water Flow ◽  
Piecewise Linear ◽  
Calibration Procedure ◽  
Dynamical Characteristic ◽  
Flow Meter ◽  
Flow Measurements ◽  
Flow Meters ◽  
Flow Metering ◽  
Rf Communication ◽  
Fluid Properties

Due to fluid properties, flow patterns, external factors (temperature, pressure, etc.) measurement shows a dynamical characteristic. Therefore, calibration is an indispensable process in order to ensure the standards of flow metering. Ultrasonic flow meters, which are ameliorated the readings over time, are promising devices to minimize the flow measurements error. In this paper, the calibration procedure of a specific ultrasonic water flow meter is discussed, and then a wireless system is proposed to carry out fine calibration. According to the results, piecewise linear least squares approach supplies the best performance at overall volumetric flow rates accompanying with wireless fine calibration system based on RF communication

The Results of the Implementation of the Technology for Monitoring the Operation of Gas and Gas Condensate Wells According to Condensate to Gas Ratio to Optimize the Production of Liquid Hydrocarbons on the Vostochno-Makarovskoe Field

2021 ◽  
Author(s):  
Marat Nukhaev ◽  
Konstantin Rymarenko ◽  
Vladimir Baranov ◽  
Sergey Grishenko ◽  
Alexsandr Zaycev ◽  
...  
Keyword(s):  
Liquid Hydrocarbon ◽  
Production Optimization ◽  
Gas Condensate ◽  
Liquid Hydrocarbons ◽  
Seasonal Fluctuations ◽  
Hydrocarbon Production ◽  
Operating Modes ◽  
And Control ◽  
Gas Ratio ◽  
Gas Supply

Abstract Liquid hydrocarbon production optimization is among key tasks in the gas condensate fields development. It depends on changes in gas supply quotas and on seasonal fluctuations in demand. The key point for such an optimization is the need to understand the current condensate-gas factor (CGF) for each well of the field to select the operating modes. Often, there is no sufficient well surveying data as these surveys are conducted not frequently enough. The paper presents an approach that allows monitoring the CGF for each well in real time and control the operating modes of the wells.

A Review of Wet Gas Flow Metering Correlation

2021 ◽  
Author(s):  
Solomon Adenubi ◽  
Dulu Appah ◽  
Emeka Okafor ◽  
Victor Aimikhe ◽  
Wilfred Okologume
Keyword(s):  
Gas Flow ◽  
Effective Means ◽  
Model Development ◽  
Industrial Applications ◽  
Operating Conditions ◽  
Gas Flows ◽  
Prediction Errors ◽  
Flow Meters ◽  
Flow Metering ◽  
Wet Gas

Abstract Entrained liquids in produced natural gas introduce flow-prediction errors in gas metering; hence there is a need to correct flowmeters’ response to these errors. The development of improved wet gas flow correlations is an effective means of optimizing the predictive capabilities of these meters. This study reviews selected wet gas flow correlations, assesses their merits and demerits, and offers novel options and possibilities for developing highly optimized wet gas correlations for industrial applications. Prospects and possibilities for developing highly optimized wet gas flow correlations are also suggested in this paper, resulting in a significant expansion of the use of wet gas flow meters. These possibilities will include model development and experimental investigation of wet gas flows under relatively high-pressure operating conditions.

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