Gravel Pack Evaluation and Optimization Training Course

Target Audience

This course is targeted at engineers with an understanding of gravel pack fundamentals who are looking to perform detailed treatment data evaluation in their current or future operations.


Prerequisites

Participants should have all of the following:

  • Technical background
  • Understanding of common oilfield terminology
  • Grasp of the fundamental concepts of drilling and completing a well
  • Basic understanding of sand control operations (completion/pumping)

Software

This course provides practical sand control design and evaluation experience using the DuneFront PackPro software suite, which gives participants the opportunity to put into practice what they learn. Previous experience with PackPro is not required but participants should follow the steps below to install the software before attending the course:

  • Complete the demo request form on the DuneFront website (http://www.dunefront.com/subscribe.aspx)
  • Download the installation file using the link provided by email.
  • Install the software on your computer.
  • A training license will be issued to each participant for the duration of the course.

For any problems or questions regarding the download or installation of the PackPro software, please contact packpro@dunefront.com


Course Description

This course reviews the various gravel pack evaluation techniques available and goes on to detail the use of advanced surface and downhole gauge data analysis, including both pressure and temperature, to better understand wellbore displacement and packing mechanisms. It uses the PackPro software to automate the data handling and evaluation process so that participants can concentrate on interpreting the results in an effort to confirm gravel pack success or identify the potential cause of failure. This is then extended using PackPro’s optimize feature to compare and match the predicted simulation results with the calculated evaluation data.


Agenda

Day 1 – Introduction to Post-job Evaluation

  • Introduction to Post-job Evaluation – Consider the benefits of post-job evaluation in better understanding downhole events and packing mechanisms as well as in failure investigation.
  • Post-job Evaluation Techniques – Review the techniques available for evaluating gravel pack success and failure along with their relative advantages and challenges.
  • Advanced Gauge Data Analysis Theory – Discuss the theory and application of downhole gauge data analysis, including both pressure and temperature, in the evaluation of gravel packs.
  • Optimum Gauge Positioning – Identify the optimum locations in the completion for downhole pressure and temperature gauges to maximize the resolution and value of the data during post-job evaluation.
  • Advanced Gauge Data Analysis Examples – Review and discuss examples of the use of surface and downhole gauge data analysis in the evaluation of gravel pack treatments.

Day 2 – Gravel Pack Evaluation with PackPro

  • PackPro Evaluate Introduction – Introduce and review PackPro’s evaluate module, including data importing and handling, which will be used to perform detailed post-job data evaluation.
  • Evaluation Practical Project – Participants will be given data sets to analyze using the PackPro software to determine whether or not the gravel pack was successful.
  • Evaluation Project Presentation – Each group will present its analysis of the data, using pressure and temperature to explain displacement and packing mechanisms, and comment on the success of the treatment.

Day 3 – Gravel Pack Optimization with PackPro

  • PackPro Optimize Introduction – Introduction to PackPro’s optimize module which uses the evaluation data to calibrate the engineering model for improved accuracy.
  • Optimization Practical Project – Participants will extend the evaluation practical project from day one using PackPro’s optimize feature to compare and match the predicted simulation results with the calculated evaluation data.
  • Optimization Project Presentation – Each group will present its final optimized model, identifying the potential sources of any discrepancies in the results and justifying changes made in the calibration process.
  • Participant Feedback – Open discussion between all participants and instructors to gather feedback and comments for continuously improving the course.
News & Events

All News & events »