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metrology

OZNA DIGITAL FLOWMETER

OZNA DFM estimates phase values of production well flow between planned well measurement periods done with group metering units. The given readings are used for the automated control of oil and associated gas production processes. Also, OZNA DFM implements data collection, processing and storage for hydrodynamic reservoir simulation

HIGH-QUALITY DATA

Flow and water cut continuous measurements of each well in the absence of readings from a group metering unit

SIMPLE INTEGRATION

A software add-on, together with existing instrumentation and SCADA system, gives improved cost- and time-efficiency 

READY-TO-USE MANAGEMENT TOOL

Adaptation of ESP operation modes, reservoir development and operation parameters, production optimization

24/7 STATUS MONITORING

Identification and registration of incidents when monitored parameters exceed the threshold

DESCRIPTION

OZNA DFM is run in MATLAB R2018b software development environment (version 9.5) on Windows 10 operating system with Russian localization packages.

OZNA DFM model is based on the original system of equations taking into account property models of a multicomponent mixture, flow models, object models adjusted for closing relations and an auto-tuning algorithm based on the actual parameters.

The description of numerical calculation algorithm includes the momentum conservation equation, the finite-difference approximation for a channel and for a node of a branched hydraulic circuit. The initial system of equations includes the continuity equation, the momentum conservation equation, the temperature equation and mass fractions of components

ADVANTAGES

Get maximum value based on your expectations

THREE-COMPONENT MODEL

We model not only submersible pumps, but also dynamic processes in the wellbore and on the nozzle, thus obtaining more accurate results

CALIBRATION BASED ON VX MPFM

The system is integrated with OZNA-Vx control tool which implements high-precision auto-calibration during well measurement

RESERVOIR HYDRODYNAMIC INTEGRATION

Ready-for-use data set for extensive analysis up to the reservoir level and making the right decisions in terms of field development control

PREDICTIVE ANALYTICS

Identification of incidents - degradation of ESP stages, the nozzle, deposits or depressurization of tubing, identification of water or gas breakouts

What's new

We are continuously improving and perfecting our software products and releasing annual updates

CALIBRATION WITH A NEURAL NETWORK

We plan to completely exclude humans from the process by replacing calibration algorithms with a high-frequency neural network which will allow to calibrate the model faster and more accurately

BOTTOM-HOLE FORMATION ZONE MODEL

Expanding observation perimeter to the level of the bottom-hole zone will allow to take into account the peculiarities of reservoir behavior in the form of cyclic or pulsating processes

ARPD IDENTIFICATION MODEL IN THE TUBING

Calibration automation will allow you to build a model to capture discrepancies between the pump model and the nozzle registering deviations and identifying ARPD (asphaltene-resin-paraffin deposits)

GAS MODE

Computation mesh cell size reduced to the level of megamodels allows to create a solution for gas wells based on the processes occuring in the wellbore and on the nozzle only

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