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Data Integration and Performance Monitoring

Successful improved recovery optimization programs start with consolidating existing data and implementing systems to acquire and integrate new data. Timely and accurate data—whether historical data from mature fields or new data from green fields is essential. Within the PetroVisor platform a workflow sequence is implemented through fast-loop automation that drives a quick, efficient and repeatable process. As a first step, data is cleansed and conditioned, and features are extracted automatically prior to integration.

As new data arrives, scripts are automatically executed within the platform to check conditions and rules before invoking cleansing routines and data validation. Types of data that typically pass through the workflow include sensor outputs, data from SCADA systems, historical data, flat files, maps and simulation results. Translating the raw data into trustworthy KPIs (both business and technical) forms the basis for additional steps in the optimization process.

Next, KPIs are calculated at different entity levels for wells, field or equipment. Production injection data along with parameters such as choke size, wellhead temperature and pressure, yearly target totals and reservoir data are processed through the workflow. Output data includes cumulative rates, water cut, gas/oil ratio, production amounts and diagnostic plots which are used to

  1. provide dashboard visualization for daily monitoring,
  2. detect production problems
  3. identify underperforming wells and
  4. rank opportunities for workover intervention.

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Post by Datagration™
July 7, 2021