Material Balance Applied to Dynamic Reservoir Surveillance Patterns
- Rod P. Batycky (Streamsim Technologies, Inc.) | Marco R. Thiele (Streamsim Technologies, Inc.) | Mahdi Razavi (Streamsim Technologies, Inc.)
- Document ID
- Society of Petroleum Engineers
- SPE Western Regional Meeting, 23-27 April, Bakersfield, California
- Publication Date
- Document Type
- Conference Paper
- 2017. Society of Petroleum Engineers
- 5.5 Reservoir Simulation, 5.4.2 Gas Injection Methods, 5 Reservoir Desciption & Dynamics, 5.5.8 History Matching, 5.4 Improved and Enhanced Recovery, 5.5.2 Construction of Static Models, 3.3 Well & Reservoir Surveillance and Monitoring
- pattern recovery factors, streamline patterns, reservoir surveillance
- 1 in the last 30 days
- 256 since 2007
- Show more detail
- View rights & permissions
|SPE Member Price:||USD 5.00|
|SPE Non-Member Price:||USD 28.00|
Determining the remaining spatial oil saturation distribution and current reservoir pressure distribution for a mature (water, solvent, CO2) flood is a cornerstone of reservoir management associated with improving sweep and selecting infill well locations. Decisions of this type are typically supported by reservoir flow simulation models that have been calibrated to the historical injection/production data.
In this paper, we present a material balance based approach to estimating remaining fluids in place as an alternative to using flow simulation. First we use the historical injection/production volumes to solve for streamlines and streamline derived pattern metrics such as well allocation factors and injector/producer well-pair reservoir volumes. Then we apply material balance on these volumes over time to estimate spatial fluid saturations and pressures existing at the end of history. Like reservoir simulation, the method accounts for changing well patterns through time, requires a 3D static geological model, and yields 3D saturation distributions of oil, water, and gas. However, unlike reservoir simulation the only calibration (history matching) required is the approximation of pore volumes and initial fluids in place of the patterns.
We present results for simple 2D models to illustrate the approach and compare to results from flow simulation. We then present a 3D pattern water/gas flood and the remaining oil and gas in place maps that are computed. The advantage of our method is that minimal history matching is required as historical injected/produced volumes are used explicitly; the disadvantage is that the resulting 3D saturation distributions are less detailed because the control volumes used for material balance are defined at the well-pair level which are many times larger than individual grid cells.
|File Size||2 MB||Number of Pages||15|
Chapman, L. R., & Thompson, R. R. (1989, March 1). Waterflood Surveillance in the Kuparuk River Unit With Computerized Pattern Analysis. Society of Petroleum Engineers. doi:10.2118/17429-PA.
Sharma, A. K., & Anil, K. (1996, January 1). Areal Pattern Distribution of Remaining Oil Saturation in a Mature West Texas Waterflood - A Case History. Society of Petroleum Engineers. doi:10.2118/35202-MS.
Cobb, W. M., & Marek, F. J. (1997, January 1). Determination of Volumetric Sweep Efficiency in Mature Waterfloods Using Production Data. Society of Petroleum Engineers. doi:10.2118/38902-MS.
Mijnarends, R., Frolov, A., Grishko, F., Kryanev, S., Mikhaylenko, E., Nizamutdinov, E., Lvov, A. (2015, September 28). Advanced Data-Driven Performance Analysis For Mature Waterfloods. Society of Petroleum Engineers. doi:10.2118/174872-MS
Grinestaff, G. H. (1999, January 1). Waterflood Pattern Allocations: Quantifying the Injector to Producer Relationship with Streamline Simulation. Society of Petroleum Engineers. doi:10.2118/54616-MS
Kornberger, M., & Thiele, M. R. (2014, May 1). Experiences With an Efficient Rate-Management Approach for the 8th Tortonian Reservoir in the Vienna Basin. Society of Petroleum Engineers. doi:10.2118/166393-PA
Samier, P., Quettier, L., & Thiele, M. (2001, January 1). Applications of Streamline Simulations to Reservoir Studies. Society of Petroleum Engineers. doi:10.2118/66362-MS
Thiele, M. R., & Batycky, R. P. (2006, April 1). Using Streamline-Derived Injection Efficiencies for Improved Waterflood Management. Society of Petroleum Engineers. doi:10.2118/84080-PA
Batycky, R. P., Blunt, M. J., & Thiele, M. R. (1997, November 1). A 3D Field-Scale Streamline-Based Reservoir Simulator. Society of Petroleum Engineers. doi:10.2118/36726-PA.
Thiele, M., Batycky, R., Pöllitzer, S., & Clemens, T. (2010, April 1). Polymer-Flood Modeling Using Streamlines. Society of Petroleum Engineers. doi:10.2118/115545-PA
Thirawarapan, C., Thiele, M. R., Kovscek, A., Batycky, R., & Clemens, T. (2014, June 10). A Simplified Model for Field-Scale Surfactant-Polymer Flooding. Society of Petroleum Engineers. doi:10.2118/170106-MS.