Waterflood Surveillance by Calibrating Streamline-Based Simulation with Crosswell Electromagnetic Data
- Shubham Mishra (Schlumberger) | Chandramani Shrivastava (Schlumberger) | Aditya Ojha (Schlumberger) | Fabio Miotti (Schlumberger)
- Document ID
- International Petroleum Technology Conference
- International Petroleum Technology Conference, 26-28 March, Beijing, China
- Publication Date
- Document Type
- Conference Paper
- 2019. International Petroleum Technology Conference
- 5.5 Reservoir Simulation, 5.6.5 Tracers, 5.4 Improved and Enhanced Recovery, 5.1 Reservoir Characterisation, 5.1.5 Geologic Modeling, 5.4.1 Waterflooding, 5.6.6 Cross-well Tomography, 7.1.6 Field Development Optimization and Planning, 5.4 Improved and Enhanced Recovery, 7.1 Asset and Portfolio Management, 5.6 Formation Evaluation & Management, 5 Reservoir Desciption & Dynamics, 7 Management and Information
- Crosswell Electromagnetics, Streamline Simulation, Waterflood Surveillance, History Match Calibration
- 2 in the last 30 days
- 121 since 2007
- Show more detail
- View rights & permissions
|SPE Member Price:||USD 7.00|
|SPE Non-Member Price:||USD 23.00|
Optimal exploitation of hydrocarbon reservoirs has always been a challenge due to uncertainties posed by subsurface heterogeneities that are often not factored into field development plans. Secondary and tertiary recovery mechanisms, such as waterflooding and enhanced oil recovery (EOR), are used to enhance the oilfield recovery beyond primary recovery. However, as the field development transitions to secondary/tertiary mechanisms, the challenges in monitoring these mechanisms further increase the uncertainty in field development. If these uncertainties are not reduced or incorporated properly, the field development may easily become uneconomic. This work presents a workflow that addresses the limitation of regular waterflood surveillance while characterizing the reservoir for optimal exploitation.
The current technologies for waterflood surveillance are limited either to local surveillance methods, such as tracers, crosswell seismic and crosswell electromagnetics (EM), or to uncalibrated global realizations, such as full-field streamline simulation, with no validation between the wells (It is to be noted that a full-field reservoir simulation calibrated with production-injection data in defined time-interval is stated as a global-surveillance method in this paper). This workflow devises integration of an effective local waterflood monitoring method, crosswell EM, and a global waterflood modeling method, streamline simulation. The process of validating the parameters of a geological model and a dynamic model with time-lapse crosswell EM data significantly reduces reservoir characterization uncertainty and helps in the preparation of a precise dynamic model.
|File Size||1 MB||Number of Pages||10|
Abubakar, A.,Habashy, T. M.,Alumbaugh, D.et al. 2005. A Fast And Rigorous 2.5D Inversion Algorithm For Cross-well Electromagnetic Data. SEG Technical Program Expanded Abstracts 2005. https://doi.org/10.1190/1.2144374
Al-Najem, A. A.,Siddiqui, S.,Soliman, M.,et al. 2012. Streamline Simulation Technology: Evolution and Recent Trends. Presented at the SPE Saudi Arabia Section Technical Symposium and Exhibition, Al-Khobar, Saudi Arabia, 8–11 April. SPE-160894-MS. https://doi.org/10.2118/160894-MS
Beyer, H.-G. and Schwefel, H.-P. 2002. Evolution Strategies: A Comprehensive Introduction. Natural Computing 1: 3–52. https://doi.org/10.1023/a:1015059928466
Carcione, J. M.,B. Ursin, and J. I. Nordskag, (2007) "Crossproperty relations between electrical conductivity and the seismic velocity of rocks". Geophysics, vol 72, no. 5, pp E193–E204. doi: 10.1190/1.2762224.
Dell'Aversana P.Bernasconi G.,Miotti F.,Rovetta D. (2011). "Joint inversion of rock properties from sonic, resistivity and density well-log measurements". Geophysical Prospecting, Vol 59, PP1144–1154. doi:10.1111/j.1365-2478.2011.00996.x.\
Grinestaff, G. H. 1999. Waterflood Pattern Allocations: Quantifying the Injector to Producer Relationship with Streamline Simulation. Presented at the SPE Western Regional Meeting, Anchorage, Alaska, 26–27 May. SPE-54616-MS. https://doi.org/10.2118/54616-MS
Gulick, K. E. and McCain, W. D. 1998. Waterflooding Heterogeneous Reservoirs: An Overview of Industry Experiences and Practices. Presented at the International Petroleum Conference and Exhibition of Mexico, Villahermosa, Mexico, 3–5 March. https://doi.org/10.2118/40044-MS
Marsala, A. F.,Al-Ruwaili, S. B.,Shouxiang, M. M.et al.. Crosswell Electromagnetic Tomography: From Resistivity Mapping to Interwell Fluid Distribution. Presented at the International Petroleum Technology Conference, Kuala Lumpur, Malaysia, 3–5 December. https://doi.org/10.2523/IPTC-12229-MS
Miotti F. M.,Zerilli A.,Menezes P. D.,Crepaldi J. L. (2018). "A New Petrophysical Joint Inversion Workflow. Advancing on Reservoir's Characterization Challenges". Interpretation vol 6, pp 33–39. doi: 10.1190/int-2017-0225.1.
Quintal, B.,Schmalholz, S. M.,Podladchikov, Y. Y.et al. 2007. Seismic Low-Frequency Anomalies in Multiple Reflections from Thinly-Layered Poroelastic Reservoirs. SEG Technical Program Expanded Abstracts 2007. https://doi.org/10.1190/1.2792819
Bachrach R. (2006). "Joint estimation of porosity and saturation using stochastic rock-physics modeling". Geophysics vol 71. doi: 10.1029/95GL00164.
Talash, A. W. 1988. An Overview of Waterflood Surveillance and Monitoring. J Pet Technol 40: 1,539–1,543. SPE-18740-PA. https://doi.org/10.2118/18740-PA
Talash, A. W. and Strange, L. K. 1982. Summary of Performance and Evaluations in the West Burkburnett Chemical Waterflood Project. J Pet Technol 34: 2,495–2,502. https://doi.org/10.2118/10162-PA
Thakur, G. C. 1991. Waterflood Surveillance Techniques - A Reservoir Management Approach. J Pet Technol 43: 1,180–1,188. SPE-23471-PA. https://doi.org/10.2118/23471-PA
Thiele, M. R.,Batycky, R. P., and Fenwick, D. H. 2010. Streamline Simulation for Modern Reservoir-Engineering Workflows. J Pet Technol 62: 64–70. SPE-118608-MS. https://doi.org/10.2118/118608-JPT
Wilt, M., and Schenkel, C. 1992. Cross-borehole Electromagnetic Induction For Steam Flooding Monitoring. SEG Technical Program Expanded Abstracts 1992. https://doi.org/10.1190/1.1822125