This paper describes the combined use of streamline and geostatistical sequential simulation to a Middle Eastern reservoir with a long production history and a significant number of wells.

In the algorithm presented, streamlines are used to delineate drainage regions for producers that are to be history matched. The time-of-flight of the streamlines is used to establish the relationship between historical rate mismatch and permeability of the drainage region. Rather than correcting permeability directly, we use the corrections supplied by the streamlines to constrain the geostatistical algorithms and thereby ensure a consistent geological scenario at every iteration in the process.

Before applying the methodology to a real field case, we use a simple synthetic example to explain the main points. Finally, we show the application of the history-matched model for evaluating an infill well prospect and how streamline simulation and finite-difference simulation are used as complementary tools to increase the predictive power of the numerical model of the reservoir.

Keywords:
geological modeling, streamline-based history, permeability field, correction, streamline, streamline simulation, upstream oil & gas, hard data, algorithm, reservoir simulation
Subjects:
Well & Reservoir Surveillance and Monitoring, Reservoir Characterization, Reservoir Fluid Dynamics, Improved and Enhanced Recovery, Reservoir Simulation, Formation Evaluation & Management, Information Management and Systems, Geologic modeling, Flow in porous media, Streamline simulation
Copyright 2004, Society of Petroleum Engineers
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