Gas Production Engineering - GPO

PetroSkills
Training overview
Professional Course
5 days

Course description

Gas Production Engineering - GPO

Learn the latest methods for calculating gas well performance from reservoir to sales. Reservoir performance covers the fundamentals of reservoir gas flow and details the best methods for testing wells, according to the time and money available. Reserve calculations and diagnostic testing from production data are covered.

The importance of flow regime and non-Darcy flow on test design and interpretation is emphasized for new wells and for the possibility of improving the performance of older wells. Also discussed are performances of tight formations, horizontal wells, fractured wells, and methods for estimating gas reserves.

Participants will learn to calculate and determine the effect of each system component on total well performance, which permits optimum sizing of tubing, flowlines, separators, and compressors. Problem-solving sessions allow participants to evaluate field problems. Participants receive complimentary software at the end of the course.

Who should attend?

Production, reservoir and facilities engineers, and others involved in gas production, transportation, and storage including field supervisors.

About PetroSkills

PetroSkills

PetroSkills - World's No. 1 Training Provider for the Oil & Gas Industry

PetroSkills is the leading professional education provider for the Petroleum Industry, with the largest classroom training portfolio for technical and management operations in this sector. In North America, PetroSkills' programs are delivered at important business hubs for the industry, around...


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Contact info

PetroSkills


 Show phone number
www.petroskills.com


Reviews

Average rating 4.2

Based on 11 reviews

Engineer in Training
(4)
Kept students engaged.
Petroleum Engineer
(4)
Instructor did a great job boiling down the various methods showing which were best for different applications.
Production Engineer, E.I.T.
(4)
Combining inflow and outflow curves and using SNAP to see impacts of changing variables on performance.
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