Optimizing Gas Fields Using Integrated Asset Modeling (IAM), and Introduction to Optimizing Shale Gas and Tight Oil Fields Reservoir Descriptions and Dynamics

Michael H. (Mike) Stein, Luiz C. Amado, S.M. (Sam) Avasthi

Description

This course offers practical, state-of-the-art techniques for optimizing gas field assets. Participants will learn techniques that are based on the concept of integrated asset modeling (IAM), and working together through an asset team to reach an integrated optimal solution. In addition, because of the tremendous interest in developing and optimizing shale gas and tight oil field assets, around the world, an introduction to this topic is included in this course. Participants will learn by reviewing case histories; will work on practical and useful problems on their own, then see the instructors’ solutions. Each participant will receive a workbook of the instructors’ presentations and solutions to the problems.

Learning Level

Intermediate

Course Length

1 Day

Why You Should Attend

The biggest advantage of utilizing gas fields through IAM is that the results are consistent with facilities, well, and reservoir constraints and are more realistic. Utilizing this technology helps obtain answers quickly—extremely important for making business investment decisions with limited time. In the future, IAM will be linked to monitoring CO2 emissions as the effect of fuel consumption on facilities can easily be incorporated.

Who Should Attend

Petroleum, reservoir, production and facilities engineers, and asset managers interested in managing and maximizing profitability from gas field as well as from shale gas and tight oil field, assets should attend this course.

This course is ideally suited for presentation in conjunction with the SPE conferences, in the United States, Canada, Latin America, Russia, Asia, Australia, the Middle East, and other regions, where presently there is tremendous interest in developing and optimizing gas field, as well as shale gas and tight oil field, assets.

Special Requirements

Attendees must bring a laptop to class. Excel programs will be provided in class.

CEUs

0.8 CEUs (Continuing Education Units) will be awarded for this 1-day course.

Cancellation
Policy

To receive a full refund, all cancellations must be received in writing no later than 14 days prior to the course start date. Cancellations made after the 14-day window will not be refunded. Send cancellation requests by email to trainingcourses@spe.org; by fax to +1.866.460.3032 (US) or +1.972.852.9292 (outside US); or mail to SPE Registration, PO Box 833836, Richardson, TX 75083.

For more details, please contact us at trainingcourses@spe.org.

Instructors

Michael H. (Mike) Stein retired from BP in 2006 after 28 years of service, and is now a consultant specializing in enhanced oil recovery and integrated asset modeling. Stein was a team leader of the Integrated Asset Modeling group in BP’s Technology Center in Houston. He also directed research on ways to apply integrated asset modeling to monitor corrosion and erosion in real time, and to couple integrated asset modeling with reservoir simulation. Stein holds three US Patents, two in enhanced coal bed methane (ECBM) production, and one in automatic waterflood history matching. He is a long-standing member of SPE, has served on SPE editorial committees, and chaired SPE Reservoir Engineering committee to select papers for SPE’s Annual Technology Conference and Exhibition.

Stein he holds a BS in chemical engineering from the University of Missouri, and MS and PhD degrees in chemical engineering from Purdue University.

Luiz C. Amado is an expert in reservoir engineering, PVT/ compositional simulation and integrated asset modeling (IAM), and works with ENI Petroleum as a Senior Reservoir Engineer.

Amado has over 20 years of oil and gas industry experience, working with Shell, Petrobras, Ecopetrol, Nexen Petroleum and Schlumberger. He has been involved in projects in Mexico, the Southern North Sea (Leman), Brazil (Bijupira and Salema fields), and other areas of South America and South Caribbean. He was also involved in many projects in the Gulf of Mexico (Llano field, Pliocene, Miocene, and Lower Tertiary plays, Hadrian, K2, and Santos, Campos and Espirito Santo basins).

Amado holds a BS in civil engineering from Federal Fluminense University, Brazil, an MS in petroleum engineering from Campinas State University, Brazil and a PhD in petroleum engineering from the University of Leoben, Austria. He is a long-standing member of SPE and has served on several SPE technical committees and conference boards. He is fluent in English, Spanish and Portuguese.

S.M. (Sam) Avasthi, PE is chairman and CEO, founder, and director of engineering and EOR at Avasthi & Associates, a worldwide petroleum consulting company headquartered in Houston, Texas. He has extensive experience in oil and gas reservoir engineering and simulation, the revitalization of mature fields, EOR project design, as well as reservoir asset optimization and training.

Before founding his own company, Avasthi held senior-level petroleum engineering and consulting positions with a major oil and gas company and an international oil and gas consulting company. He is a registered professional engineer in Texas, a Legion of Honor member of SPE, and a technical editor for the SPE Reservoir Evaluation & Engineering journal, SPE Production & Operations journal, and SPE’s Journal of Canadian Petroleum Technology.

Avasthi is an engineering alumnus of the Indian School of Mines, Imperial College of the University of London, and Texas A&M University. He earned his PhD in petroleum engineering from Texas A&M University, and was a research fellow in chemical engineering at Rice University.