May 11, 2010


Description

The optimal well-rate allocation problem (OWRA) can be stated as the following: given a model of a reservoir and locations of injecting and producing wells, find the well rates (defined over time) that maximize profit. Recent work led to a mathematical formulation of OWRA as an optimization problem, using the Black-Oil equations to characterize flow in the reservoir. In this talk I introduce the necessary mathematical background to understand the mathematical formulation of OWRA. I then discuss improvement of the solution by using adaptive (as opposed to fixed time-step) simulations.  


This talk will be split into three parts. First, I introduce unconstrained optimization, and discuss how this technology can be coupled with the IMPSAT (Implicit Pressure and Saturation) approach to solve the Black-Oil equations. I then address the well-rate bound requirement for OWRA, which motivates the use of constrained optimization algorithms. Finally, I show how to incorporate adaptive simulations for OWRA -- leading to quick convergence and physically meaningful results. Time permitting, I will also talk about computational storage issues and algorithms to circumvent these problems, such as the checkpointing algorithm for adaptive simulation. 



If you have special dietary needs (diabetic, religious, allergies, etc.) please include a note of your meal needs during the on-line registration process in the box labeled "Optional comments for the event planner" or
contact Trish Framel, so she may alert the Hotel. 
 
 

EARLY ON-LINE PRE-PAY REGISTRATION DRAWING

 
All that register and pre-pay for this event on line, NO LATER THAN Tuesday, May 4, 2010, will have their names entered in a raffle drawing.
 

Featured Speakers

Speaker Marco Enriquez
Rice University Marco Enriquez holds a master's degree in Applied Mathematics from Rice University, as well as a bachelor's degree in Computer Engineering from Tufts University. He is currently a doctoral candidate in the Applied Mathematics department at Rice University; his doctoral research seeks to establish efficient algorithms for optimization …


Rice University

Marco Enriquez holds a master's degree in Applied Mathematics from Rice University, as well as a bachelor's degree in Computer Engineering from Tufts University. He is currently a doctoral candidate in the Applied Mathematics department at Rice University; his doctoral research seeks to establish efficient algorithms for optimization problems with reservoir simulation constraints. 

Full Description



Organizer

Lilly Lee


Date and Time

Tue, May 11, 2010

11:30 a.m. - 12:30 p.m.
(GMT-0500) US/Central

Event has ended

Location

HOUSTON BROOKHOLLOW SHERATON Hwy 290 & 1 610W

3000 North Loop West
Houston, TX 77092
USA