Petro-Technical Data Management - Production Data

DATA/DATAMGTGB

Who should attend?

  • This course aims at acquiring a detailed understanding of data acquisition techniques and systems available on a field (manual, automated data, aggregated data, processed data, etc.), as well as the workflow and tools to archive and organize them, in order to establish a strategy for optimizing and analyzing production performance.
Audience :
  • Both managers and engineers looking to acquire a practical know-how on data collection and interpretation as well as associated production optimization tools.
  • This training will also benefit engineers involved in data management or managers seeking to optimize the field they are in charge of in a sustainable and cost-effective manner.

Level : Foundation

Course Content

  • OVERALL STRATEGY FOR DATA ANALYSIS & PRODUCTION OPTIMIZATION

      • Conduct an effective data analysis on a production site:
      • Rapidly and efficiently describe production facilities: facilities, wells, pipeline networks...
      • Determine production site optimization areas.
      • Develop a global strategy to improve production.
      • Deduce/predict breakdowns or malfunctions by analyzing available data.
  • PETROLEUM DATA: FROM RESERVOIR TO STORAGE TANK

      • Review of reservoir data required for production.
      • Review of well, production, process and transactional data, flow assurance measurements, storage parameters, flowrate/volume calculations and measurement units.
      • Review of measurement and supervision equipment: sensors/transmitter/network/servers/HMI...
      • Other data: chemicals/operations/historical/maintenance...
      • Measurement uncertainties: Where do they come from? How to detect them and prevent them (well tests, BSW, back-allocations per field/per well...)?
  • DATA MANAGEMENT SYSTEMS

      • Data usage process on a production site:
      • Petro-technical data system.
      • Data management systems.
      • Review of main existing systems and their functionalities.
  • EXISTING & UPCOMING TOOLS FOR PETROLEUM DATA ANALYSIS

      • Usage and limitations of conventional office and petroleum-specific software.
      • Presentation of data mining and artificial intelligence concepts works in progress:
      • Production forecast.
      • Operating conditions optimization.
      • Predictive failure…
  • CASE STUDY: OIL FIELD PRODUCTION OPTIMIZATION

      • Study of an existing site, description of production facilities and data acquisition systems.
      • Analysis of data provided to detect inconsistencies, anomalies, failures to produce and detect non-optimal conditions.
      • Typical optimizations to be studied:
      • Which wells should be closed first with a bottleneck on the process?
      • Flowrate increase: impact on reserves and NPV.
      • Establishing a global optimization plan for the oil field studied.

Learning Objectives

  • Upon completion of the course, participants will be able to:
  • describe production data sources, how to interpret them, assess data reliability (measurement uncertainties and their causes),
  • contribute to the implementation of new measurement and data acquisition systems, scary out initial data analyzes (propose and calculate improvements),
  • identify and organize field-/well-/process- describing data to make improvements,
  • explain good practices in organizing and storing data in order to prepare the company to new technologies,
  • acquire knowledge of existing and upcoming data analysis tools, know how to use most effective ones.

Ways & Means

  • Broad and comprehensive knowledge of an Oil & Gas production site by studying petro-technical data.
  • Primary optimization of an oil field by analyzing data collected from various existing fields.