April 23, 2009


Description

Geostatistical modeling of reservoir facies and petrophysical properties (e.g. porosity and permeability) must be performed in a pre-faulted, deposition space in order to reproduce the true spatial correlations of these properties. A transformation function is therefore required to bring the data from the current position of the reservoir into the modeling space where experimental variograms are computed; reservoir properties are then stochastically simulated in the deposition space and mapped back to the real space. Current reservoir modeling practice uses a stratigraphic grid to conform to the reservoirs structure (bounding horizons and faults). The (i, j, k)-indexing of the nodes of the cells is used as a discretization of a curvilinear coordinate system which acts as the transfer function to the deposition space. This leads to a very strong underlying assumption: the geological distances (in the deposition space) are a function of the (i, j, k)-indexing. In the presence of non-vertical faults, the cells of the stratigraphic grids are either stretched or squeezed, violating this assumption. Moreover, in the presence of complex structural geology, these grids simply cannot be constructed without tremendous simplifications. The new proposed approach uses a 3D parameterization of the subsurface yielding a grid that minimizes the distortions of distances imposed by geostatistical simulation algorithms. These new Geologic Grids allow the construction of robust reservoir models whatever the structural complexity of the reservoir. Additionally, they guarantee the accurate mapping and upscaling of reservoir properties into either structured or unstructured Flow Simulation Grids. They also enable the creation of structured Flow Simulation Grids in which faults are defined as stair-steps allowing representation of the complete reservoir structure and ensuring orthogonality of cells.basin.

Pre-registration is strongly encouraged. Registration will start @ 11:00am. 

Note:  walk ins will be seated based on remaining availability and there is no guarantee that a seat will be available once max capacity has been reached.


Featured Speakers

Speaker Emmanuel Gringarten
Solution Manager Paradigm Emmanuel Gringarten is Solution Manager at Paradigm for the Reservoir Modeling and Reservoir Engineering product suite, focusing on the development of workflow-driven integrated applications for consistent construction of reliable 3D reservoir models. He holds a BS in Mathematics from Imperial College, London, and Masters and PhD in ...

Solution Manager
Paradigm
Emmanuel Gringarten is Solution Manager at Paradigm for the Reservoir Modeling and Reservoir Engineering product suite, focusing on the development of workflow-driven integrated applications for consistent construction of reliable 3D reservoir models. He holds a BS in Mathematics from Imperial College, London, and Masters and PhD in Reservoir Engineering from Stanford University. He has been involved in many reservoir modeling projects, with expertise in geostatistical modeling and uncertainty assessment.

Full Description



Organizer

Kishor Pitta


Date and Time

Thu, April 23, 2009

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

Courtyard on St James

1885 St. James Place
HOUSTON, TX 77056
USA