Improved Interpretation of Single-Well-Chemical-Tracer for Low Salinity and Polymer Flooding
- Aboulghasem Kazemi Nia Korrani (BP America Inc.) | Gary Jerauld (BP America Inc.) | Abrar Al-Qattan (Kuwait Oil Company)
- Document ID
- Society of Petroleum Engineers
- SPE Kuwait Oil & Gas Show and Conference, 13-16 October, Mishref, Kuwait
- Publication Date
- Document Type
- Conference Paper
- 2019. Society of Petroleum Engineers
- Single-Well-Chemical-Tracer-Test, Low salinity waterflooding, Modeling, Polymer flooding
- 10 in the last 30 days
- 60 since 2007
- Show more detail
- View rights & permissions
|SPE Member Price:||USD 9.50|
|SPE Non-Member Price:||USD 28.00|
We interpreted a series of single-well-chemical-tracer-tests (SWCTTs) estimating residual oil (SORW) to base high salinity waterflood, low salinity waterflood and subsequent polymer flood conducted on a Greater Burgan well. Interpretation of the tests requires history matching of the back-production of partitioning and non-partitioning tracers which is impacted by differing amounts of irreversible flow and differing amounts of dispersion as well as the amount of residual oil.
We applied the state-of-the-art chemical reservoir simulator (UTCHEM) and an assisted history matching tool (BP’s Top-Down-Reservoir-Modeling) to interpret the tests and accurately quantify uncertainty in residual oil saturations post high salinity, low salinity, and polymer floods. Two optimization algorithms (i.e., Genetic algorithm (GA) and Particle-Swarm-Optimization (PSO)-Mesh-Adaptive-Direct-Search (MADS) algorithms) were applied to better address the uncertainty.
Our results show a six saturation unit decrease in SORW post low salinity with no change to the SORW post polymer. This is in-line with our expectations - we expect no change in SORW post-polymer as the conventional HPAM, which does not exhibit visco-elastic behavior, was used in the test. We demonstrate that history matching the back-produced tracer profiles is a robust approach to estimate the SORW by showing that three-or four-layer simulation model assumption does not change the SORW estimated. We accounted for the uncertainty in partition-coefficient in our uncertainty estimates.
We present several innovations that improve history matching back-produced tracer profiles; hence, better SORW estimations (e.g., different level of dispersivity for individual simulation layers to account for different heterogeneity level as opposed to assuming a single dispersion for all layers). We generate more robust estimates of uncertainty by finding a range of alternative history matches all of which are consistent with the measured data.
|File Size||2 MB||Number of Pages||28|
Al-Qattan, A., Sanaseeri, A., Al-Saleh, Z., Singh, B. B., Al-Kaaoud, H., Delshad, M., … & Brown, J. (2018, March). Low Salinity Waterflood and Low Salinity Polymer Injection in the Wara Reservoir of the Greater Burgan Field. In SPE EOR Conference at Oil and Gas West Asia. Society of Petroleum Engineers.
Delshad, M., Pope, G. A., and Sepehrnoori, K. 1996. A compositional simulator for modeling surfactant enhanced aquifer remediation, 1 formulation. Journal of Contaminant Hydrology, 23(4), 303–327. doi:10.1016/0169-7722(95)00106-9.
Williams, G. J. J., Mansfield, M., MacDonald, D. G., and Bush, M. D. 2004. Top-Down Reservoir Modelling. SPE: Society of Petroleum Engineers. doi: 10.2118/89974-MS.