Holistic Views: Integrated Production Surveillance in Oil and Gas Training Course

Introduction

In today's complex oil and gas production landscape, optimizing output and ensuring asset longevity demands more than isolated well monitoring. Integrated Production Surveillance involves a holistic approach, combining real-time data from reservoirs, wells, and surface facilities to provide a comprehensive understanding of the entire production system. This multidisciplinary approach enables operators to identify inefficiencies, diagnose problems proactively, and make informed decisions that maximize hydrocarbon recovery and operational profitability, moving beyond reactive troubleshooting to proactive management.

This intensive training course is meticulously designed to equip participants with a comprehensive and practical understanding of Integrated Production Surveillance. From exploring various data acquisition technologies and their integration to mastering advanced analytical techniques, diagnostic plots, and the implementation of digital solutions, you will gain the expertise to manage production assets with enhanced visibility and control. This empowers you to identify opportunities for optimization, mitigate risks effectively, reduce non-productive time, and strategically contribute to the efficient and sustainable operation of oil and gas fields.

Target Audience

  • Production Engineers and Production Technologists.
  • Well Surveillance and Optimization Teams.
  • Reservoir Engineers and Petroleum Engineers.
  • Data Analysts and Data Scientists in E&P.
  • Operations Managers and Field Superintendents.
  • Facilities Engineers and Process Engineers.
  • IT and Digital Transformation Specialists in Oil & Gas.
  • Technical Staff from Production Software and Service Companies.

Duration: 10 days

Course Objectives

Upon completion of this training course, participants will be able to:

  • Understand the core concepts and value proposition of integrated production surveillance.
  • Grasp the various data sources and technologies used for production monitoring.
  • Analyze production data using advanced diagnostic plots and analytical techniques.
  • Comprehend the principles of Nodal Analysis as a key surveillance tool.
  • Evaluate the role of real-time data, automation, and digital twins in surveillance.
  • Develop practical skills in integrating data from different disciplines for holistic insights.
  • Navigate the challenges of data quality, management, and visualization for surveillance.
  • Formulate robust strategies for designing and implementing effective integrated production surveillance systems.

Course Content

  1. Introduction to Integrated Production Surveillance
  • Definition and scope of integrated production surveillance.
  • Evolution from traditional monitoring to holistic system-wide views.
  • Value proposition: increased production, cost reduction, improved safety, better decision-making.
  • Key elements: data acquisition, integration, analysis, visualization, action.
  • Overview of the digital oilfield and its relation to surveillance.
  1. Production Data Acquisition Technologies
  • Downhole gauges: permanent (PDHG), slickline, electric line sensors for P/T, flow.
  • Wellhead and flowline instrumentation: pressure, temperature, flow meters.
  • Multiphase flow meters (MPFM) and their applications.
  • Production logging tools (PLT) for downhole flow profiling.
  • Data communication networks and telemetry systems.
  1. Data Management and Integration for Surveillance
  • Challenges of disparate data sources and formats.
  • Data historians and real-time databases.
  • Data cleansing, validation, and reconciliation.
  • Data integration platforms and architecture for unified views.
  • Importance of data quality for reliable surveillance.
  1. Production System Analysis (Nodal Analysis) in Surveillance
  • Review of Nodal Analysis principles: IPR, VLP.
  • Applying Nodal Analysis for continuous performance monitoring.
  • Identifying dynamic bottlenecks in the production system.
  • Sensitivity analysis for predicting production response to changes.
  • Using Nodal Analysis as a diagnostic tool for performance deviations.
  1. Well Performance Analysis and Diagnostics
  • Decline Curve Analysis (DCA) for forecasting and reserves estimation.
  • Diagnostic plots for well performance: WOR, GOR, pressure trends.
  • Identifying liquid loading in gas wells and water/gas breakthrough.
  • Analyzing performance of artificial lift systems.
  • Fingerprinting well behavior for anomaly detection.
  1. Reservoir Surveillance Techniques
  • Pressure Transient Analysis (PTA) for reservoir characterization updates.
  • Material balance analysis for reservoir performance tracking.
  • Time-lapse (4D) seismic for fluid movement and sweep efficiency.
  • Tracer surveys for inter-well connectivity and conformance.
  • Integrating reservoir models with production data for dynamic updates.
  1. Facilities and Process Surveillance
  • Monitoring surface facilities: separators, compressors, pumps, pipelines.
  • Process control parameters and their impact on overall system performance.
  • Alarm management and critical parameter monitoring.
  • Optimization of facility operations based on real-time data.
  • Identifying facility bottlenecks and inefficiencies.
  1. Advanced Analytics and Visualization for Surveillance
  • Statistical process control (SPC) for identifying deviations.
  • Machine learning for predictive maintenance and anomaly detection.
  • Data visualization dashboards and intelligent alerts.
  • Root cause analysis using integrated data.
  • Predictive modeling for future performance and intervention planning.
  1. Real-Time Optimization and Automation
  • Closed-loop control systems for production optimization.
  • Automated artificial lift optimization.
  • Real-time well intervention decision support.
  • Remote operations centers and collaborative environments.
  • The role of human operators in an increasingly automated surveillance landscape.
  1. Integrated Production Surveillance System Implementation and Future Trends
  • Developing a comprehensive integrated surveillance strategy.
  • Phased implementation approach and change management.
  • Economic benefits and ROI justification.
  • Digital twin technology for real-time asset mirroring.
  • AI and advanced robotics for autonomous surveillance.
  • The future of production surveillance in the evolving energy industry.

CERTIFICATION

  • Upon successful completion of this training, participants will be issued with Macskills Training and Development Institute Certificate

TRAINING VENUE

  • Training will be held at Macskills Training Centre. We also tailor make the training upon request at different locations across the world.

AIRPORT PICK UP AND ACCOMMODATION

  • Airport pick up and accommodation is arranged upon request

TERMS OF PAYMENT

Payment should be made to Macskills Development Institute bank account before the start of the training and receipts sent to info@macskillsdevelopment.com

For More Details call: +254-114-087-180

 

Holistic Views: Integrated Production Surveillance In Oil And Gas Training Course in Nepal
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