Generation of Production Type Curves for Unconventional Reservoirs
This 3-day course is designed to provide participants with the skill of using both analytical and empirical methods to forecast production profiles and EURs in unconventional (ultra-low permeability) reservoirs, with a focus on Production Type Well curve generation. The methods reviewed are all endorsed by the SPEE’s recent Monograph-4. Each method will be reviewed. Excel based Software will be used to demonstrate the advantages and limitations of using each method.
This course is suitable for all reservoir, exploitation, A&D and production engineers who are involved in the exploitation and prediction of hydrocarbon production and EUR estimation.
R&A’s Excel based Production Forecasting software will be integrated into the class problems, and each attendee will receive a 90 day free license.
At the completion of this training course, the attendee will have:
An understanding of:
- The concept of type well and its probabilistic type curve generation for a Geological Subset Area (GSA) within a resources play
- The workflow of building the type curve(s) of the type well(s), and both the technical and economic factors that influence the type well generation in two phases producing reservoirs
- How to select analog wells for a GSA within a resource play
- How to normalize analog wells for type curve generation
- The fundamentals of each empirical decline methods endorsed by SPEE Monograph-4 for production and EUR forecasts
- The Pros and Cons of each empirical method
- The fundamentals of each analytical models for production and EUR forecasts
- The Pros and Cons of using analytical models
The hands-on skills of:
- practically using both analytical and empirical methods to reasonably forecast EUR and Production profiles for probabilistic type curve generation(s)
- practically generate the probabilistic type curve(s) for a GSA with analog wells
Introductory to Intermediate
Attendee need basic knowledge of reservoir engineering and well production decline.
Each year, operators will need a type curve production for both new and developed area to plan the next drilling budget. Asset reservoir/production engineer will need to work out a probabilistic type curve based on producing analog wells.
Who Should Attend
Asset reservoir engineers, exploitation, A&D and production engineers who are involved in the annual Long Range Planning, prediction of hydrocarbon EUR and production, Reserve Review/Booking.
Shaoyong Yu (Ph.D., P. Eng.) has more than 30 years’ experience in the upstream of the oil & gas industry (more than 16 years in Canada and 15 years’ in both North Sea, North Africa and East China). He has been involved and responsible for various activities, such as Conventional and Un-Conventional Reservoirs’ Reserve Booking (EUR estimation), Production Forecast & Type Curve generation with advanced reservoir engineering methodologies (Empirical, Analytical and Numerical); Economic Evaluation, Risk & Uncertainty Analysis for both conventional and un-conventional reservoirs development, Rate Transient Analysis (RTA) and Pressure Transient Analysis (PTA); Water-flooding Design, Implementation and Surveillance; Numerical Reservoir Simulation; Formation Evaluations with Data of Well Logging, Testing and Production; PVT and Special Core Analysis.
During his more than 10 years’ career at ConocoPhillips Canada, he had served as various positions. Prior to leaving the company, as a Sr. Reservoir Engineering Technical Advisor, he has been responsible for technically assuring works and projects of both conventional and un-conventional reservoir engineering, provided guidance, training and coaching for Reservoir Engineers, developed and implemented standard workflows and tools for type curve generation in resources play, production data analysis of horizontal wells with multi-stages fracturing in tight/shale reservoirs and advised on standardizing approaches of risk and uncertainty analysis on un-conventional resources.
Dr. Yu has developed the “Modified Stretch Exponential Production Decline (YM-SEPD)” methodology that has been adopted by SPEE as one of the empirical methods for production forecast & EUR estimation for horizontal wells. He also invented the methodology of “Condensate and Gas Ratio (CGR) forecast for horizontal wells in Retrograde Gas reservoirs” that has been recently adopted by Alberta Energy Regulatory (AER) as a recommended condensate forecasting method for Duveney shale gas producers.
Dr. Yu has authored and co-authored numerous publications of SPE papers and 3 books (in Chinese). He is a member of APEGA, SPEE, SPE.
James (Jim) Gouveia (BaSc, Chemical Engineering, University of Toronto) is a registered Professional Engineer with a diverse technical, business and operations background in the petroleum industry. He joined Rose & Associates in March, 2002 after 21 years with Amoco and BP Energy. Gouveia has worked in a variety of technical and managerial assignments in exploration, production and reservoir engineering, strategic and business process planning, portfolio and risk management. Prior to BP’s acquisition of Amoco in 1999, Gouveia was Director of Risk Management for the Amoco Energy Group of North America. In this role he was accountable for assurance of consistent project evaluation of all major capital projects. In his last roles, Gouveia led BP’s strategic initiative into unconventional gas resources in Western Canada. With BP, he was a member of several task forces including a worldwide task force focused on growth initiatives in mature basins and developing a portfolio management process for BP’s North American unconventional gas assets. Gouveia has been a key author in the development of Rose & Associates course on the assessment of Unconventional resource plays. He has consulted with firms in North America, South America, S.E. Asia and Australia on the resource, reserve and economic evaluation of their Unconventional assets. He regularly presents technical talks at the SPEE annual meetings and local SPE chapters. Gouveia has co-authored and presented papers, most recently as a contributing author to the SPEE’s 2011 Monograph 3, “Guidelines for the practical evaluation of undeveloped reserves in Resource plays”, and SPE 121525, “A Statistical Approach to the Effective Economic Modeling and Portfolio Selection of Unconventional Resource Opportunities”. Gouveia is a member of APEGA, SPE, SPEE and AAPG. Gouveia is a partner in Rose & Associates.