Calculating Seismic Attributes Within a Reservoir Flow Simulator

2007 ◽  
Author(s):  
Alexandre Anoze Emerick ◽  
Rafael Moraes ◽  
Jose Rodrigues
Keyword(s):  
Seismic Attributes ◽  
Reservoir Flow ◽  
Flow Simulator

Embedding a Petroelastic Model in a Multipurpose Flow Simulator To Enhance the Value of 4D Seismic

2010 ◽  
Vol 13 (01) ◽  
pp. 37-43 ◽  
Author(s):  
John R. Fanchi
Keyword(s):  
Time Lapse ◽  
Compressional Wave ◽  
P Wave ◽  
Flow Modeling ◽  
S Wave ◽  
Thermal Systems ◽  
Young’S Moduli ◽  
Reservoir Flow ◽  
4D Seismic ◽  
Flow Simulator

Summary Time-lapse (4D) seismic can be effectively integrated into the reservoir-management process by embedding the calculation of seismic attributes in a flow simulator. This paper describes a petroelastic model (PEM) embedded in a multipurpose flow simulator. The flow simulator may be used to model gas, black-oil, compositional, and thermal systems. The PEM can calculate reservoir geophysical attributes such as compressional-wave (P-wave) and shear-wave (S-wave) velocities and impedances, dynamic and static Young's moduli, and dynamic and static Poisson's ratios. Examples illustrate how to use the PEM to facilitate the integration of 4D seismic and reservoir flow modeling.

scholarly journals A consistent framework for coupling modern reservoir flow simulator with mechanics

2021 ◽  
Vol 833 (1) ◽  
pp. 012113
Author(s):  
A. Ferrari ◽  
A. Pizzolato ◽  
S. Petroselli ◽  
S. Monaco ◽  
D. Ottaviani
Keyword(s):  
Reservoir Flow ◽  
Flow Simulator

Modeling of Flow in a Near-Wellbore Network

2009 ◽  
Author(s):  
Leslie Thompson ◽  
Kristian Brekke
Keyword(s):  
Horizontal Well ◽  
Mass Conservation ◽  
Newton Iteration ◽  
Pipe Network ◽  
Liquid Ratio ◽  
Flow Paths ◽  
Reservoir Flow ◽  
Flow Simulator ◽  
Network Junction

We consider steady-state multiphase flow in the near-well region of a completed horizontal well. The flow topography in this system is such that many alternate paths are available for fluid to travel from the reservoir to the producing vertical wellbore. Predicting and controlling this flow is essential to optimizing recovery from the reservoir. We treat the system as a pipe network. We decouple the mass conservation and pressure equations and solve for the phase splits at each junction in the network under the assumption that there is complete mixing at each branch point. Thus, the gas-liquid ratio (GLR) and water oil ratio (WOR) of each stream exiting a given network junction is constant and is determined by the quality of the streams entering the junction. (This assumption is reasonable since the flow paths in the “network” are short.) We use Newton iteration to solve the pressure equations. The resulting algorithm is fast and robust, so that it is well suited for coupling with a reservoir flow simulator. We illustrate the method by presenting an example.

Integration of an Aggregate Flow Model with a Traffic Flow Simulator

2008 ◽  
Author(s):  
Robert Hoffman ◽  
Jason Burke ◽  
Stephen Augustine ◽  
Dengfeng Sun ◽  
Alexander Bayen ◽  
...  
Keyword(s):  
Traffic Flow ◽  
Flow Model ◽  
Flow Simulator
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