Sept. 25, 2014


Description

 

Representing the complete spectrum of fine-scale stratigraphic details in full-field dynamic models of geologically complex clastic reservoirs is beyond the limits of existing computational capabilities. A quasiglobal multiphase upscaling method—the regional-scale multiphase upscaling (RMU) method—is developed, in which the dynamic effects of subgrid-scale (typically subseismic) nonlocal stratigraphic reservoir elements (e.g., channels, lobes, sand bars, and shale drapes) are captured by means of pseudofunctions for flow simulation. Unlike conventional dynamic multiphase upscaling methods, the RMU method does not require fine-resolution reservoir-scale simulations. Rather, it relies on intermediate-scale sector-model simulations for pseudoization. The intermediate scale, also referred to as the regional scale, is defined as the spatial scale at which the global multiphase flow effects of nonlocal stratigraphic elements can be approximated by fine-resolution flow simulations with reasonable accuracy. During the pseudoization process, dynamic multiphase flow responses of coarse regional-scale sector models are calibrated against those stemming from their corresponding fine-resolution parent models. Each regional-scale sector model is simulated only once at the fine geologic resolution. The process involves automatic determination and subsequent modification of the parameters that describe rock relative permeability and capillary pressure functions. Coarse regional-scale models are simulated a few times until a reasonable match between their coarse- and fine-resolution dynamic responses can be attained. The parameter-estimation step of the pseudoization process is performed by use of a very efficient constrained nonlinear optimization algorithm.

The RMU method is evaluated in two proof-of-concept numerical examples involving a plethora of turbidite stratigraphic architectures. The method yields simulation results that are always more accurate than conventionally upscaled coarse-resolution-model predictions. Incorporating geologically based pseudofunctions into otherwise simple coarse-resolution full-field reservoir models reduces the simulation cycle time significantly and improves the accuracy of production forecasts. The RMU method typically delivers two to three orders of magnitude in speed up of flow simulations.


Featured Speakers

Speaker: Faruk O. Alpak
Speaker Faruk O. Alpak
Faruk O. Alpak is a senior research reservoir engineer in the Computation and Modeling Team of Shell International Exploration and Production Inc. He holds a bachelor’s degree in petroleum and natural-gas engineering from the Middle East Technical University, Turkey, and master’s and Ph. D. degrees in petroleum engineering from The ...

Faruk O. Alpak is a senior research reservoir engineer in the Computation and Modeling Team of Shell International Exploration and Production Inc. He holds a bachelor’s degree in petroleum and natural-gas engineering from the Middle East Technical University, Turkey, and master’s and Ph. D. degrees in petroleum engineering from The University of Texas at Austin. Before joining Shell in 2005, Alpak worked at the Schlumberger-Doll Research Center as a visiting scientist on mathematical modeling and inversion projects and at The University of Texas at Austin as a research assistant. His specialization areas are reservoir simulation, subsurface thermal-reactive transport, upscaling, inverse problems, and computational electromagnetics. Alpak is an associate editor for SPE Journal. He is the recipient of the SPE Journal Outstanding Associate Editor Award in 2008 and the Best Paper Award from the Society of Well Log Analysts Petrophysics Journal in 2003 and 2006.

Full Description



Organizer

Rafael G. Barroeta


Date and Time

Thu, Sept. 25, 2014

11:30 a.m. - 1 p.m.
(GMT-0500) US/Central

Event has ended

If you do not have a full-time job in the oil and gas industry, are a full-time student or Member in Transition (MiT) member, and you do not see a discounted registration fee for students/MiT regarding this event, please contact the GCS manager at spe-gcs@spe.org.


Location

Sullivan’s Steakhouse

4608 Westhiemer rd
Houston, TX 77027
United States



Group(s): Reservoir