scholarly journals A Generalized Streamline Method to Predict Reservoir Flow

1995 ◽  
Author(s):  
M. J. Blunt ◽  
K. Liu ◽  
M. R. Thiele
Keyword(s):  
Reservoir Flow ◽  
Streamline Method

A generalized streamline method to predict reservoir flow

1996 ◽  
Vol 2 (3) ◽  
pp. 259-269 ◽  
Author(s):  
Martin J. Blunt ◽  
Kuiran Liu ◽  
Marco R. Thiele
Keyword(s):  
Reservoir Flow ◽  
Streamline Method

Delineation of Sandstone Reservoir Flow Zones in the Central Bredasdorp Basin, South Africa, Using Core Samples

2021 ◽  
Author(s):  
Mimonitu Opuwari ◽  
Moses Magoba ◽  
Nehemiah Dominick ◽  
Nicolas Waldmann
Keyword(s):  
South Africa ◽  
Core Samples ◽  
Reservoir Flow ◽  
Sandstone Reservoir

Implementation of a Streamline Method For Flow Simulation of Large Fields

1999 ◽  
Vol 38 (13) ◽  
Author(s):  
R.A. Behrens ◽  
R.C. Jones ◽  
A.S. Emanuel
Keyword(s):  
Flow Simulation ◽  
Streamline Method

New method for Handling of Infrastructural Constraints for Integrated Modeling in Steady Case

2021 ◽  
Author(s):  
Dmitry Moiseevich Olenchikov
Keyword(s):  
Optimal Solution ◽  
Field Development ◽  
Flow Models ◽  
Second Stage ◽  
Operation Modes ◽  
Reservoir Flow ◽  
Terminal Constraints ◽  
Surface Network ◽  
Two Stages ◽  
And Control

Abstract Recently, more and more reservoir flow models are being extended to integrated ones to consider the influence of the surface network on the field development. A serious numerical problem is the handling of constraints in the form of inequalities. It is especially difficult in combination with optimization and automatic control of well and surface equipment. Traditional numerical methods solve the problem iteratively, choosing the operation modes for network elements. Sometimes solution may violate constraints or not be an optimal. The paper proposes a new flexible and relatively efficient method that allows to reliably handle constraints. The idea is to work with entire set of all possible operation modes according to constraints and control capabilities. Let's call this set an operation modes domain (OMD). The problem is solved in two stages. On the first stage (direct course) the OMD are calculated for all network elements from wells to terminal. Constraints are handled by narrowing the OMD. On the second stage (backward course) the optimal solution is chosen from OMD.

Inverse-volume pore pressure projection technique for the coupling of reservoir flow and geomechanics simulators

2016 ◽  
pp. 319-326
Author(s):  
P Vargas ◽  
N González ◽  
C Paz ◽  
M de Bayser ◽  
P Bryant ◽  
...  
Keyword(s):  
Pore Pressure ◽  
Projection Technique ◽  
Reservoir Flow ◽  
Pressure Projection
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