INTEGRATED ASSET MODELING & OPTIMIZATION

  • April 6, 2020 - April 10, 2020
    8:00 am - 5:00 pm

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see url This course provides an overview of integrated asset modeling (IAM), its concept and significance to enhance and optimize complex oil and gas field systems. The course also equips participants with knowledge and skills necessary to create and maintain an integrated asset modeling tools using multiple software applications to build models for thermodynamic, reservoirs, completion-wellbores, surface pipeline networks, surface process equipment and economic, respectively. The main focus is to learn how to build these models from the scratch and understand the theory and concept behind them. Participants will learn how to integrate these different models and run them all as a piece. It will also highlight methodology to detect, resolve and optimize bottlenecks, and perform forecasting to get a better insight for future deterministic and probabilistic performance of the model. It also reviews different hydrocarbon production optimization methods for single and multi-reservoir fields. Different scenarios will be reviewed and discussed to understand the potentials and limitations of the IAM as a key tool for field optimization, re-development, and budget planning. Case studies will be discussed to illustrate the field application of the concepts in the course.

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http://riohanggliding.com/index.php?option=com_content This course is designed for reservoir engineers, production engineers, facility engineers and asset managers

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  • Novel methods to generate integrated asset modeling (IAM) to improve the processes of fluid flow performance forecasting and scenarios analysis
  • Integration of production data into integrated asset modeling (IAM) reservoir modeling and history matching processes
  • Improving integrated asset performance management using single and multi-objective optimization methods

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  • Introduction to integrated asset modeling (IAM) & optimization
  • Initial data review and integrated reservoir development workflow
  • Preparation of IAM components – thermodynamic model, reservoir simulation model, completion-wellbore models, surface network models, surface process model, economic model
  • Model integration and software application (automated workflow construction and configuration)
  • Hydrocarbon production optimization methods in single and multi-reservoir fields
  • Multi-reservoir production performance simulation-optimization workflow under uncertainties
  • Analyzing scenarios with the IAM. Technical and economic evaluation of alternatives
  • Field development and/or re-development planning issues
  • Field case studies and hands-on practice