Modeling of Magnetic Nanoparticle Transport in Shale Reservoirs
- Cheng An (Texas A&M University) | Masoud Alfi (Texas A&M University) | Bicheng Yan (Texas A&M University) | Kai Cheng (Texas A&M University) | Zoya Heidari (Texas A&M University) | John E. Killough (Texas A&M University)
- Document ID
- Society of Petroleum Engineers
- SPE Reservoir Simulation Symposium, 23-25 February, Houston, Texas, USA
- Publication Date
- Document Type
- Conference Paper
- 2015. Society of Petroleum Engineers
- 5.1.2 Faults and Fracture Characterisation, 3.2.3 Hydraulic Fracturing Design, Implementation and Optimisation, 5.6.1 Open hole/cased hole log analysis, 5.1.1 Exploration, Development, Structural Geology
- Magnetic Nanoparticles Transport, Shale Reservoir Simulation, Phase flow, NMR Logging signal, Organic matter
- 4 in the last 30 days
- 437 since 2007
- Show more detail
- View rights & permissions
|SPE Member Price:||USD 8.50|
|SPE Non-Member Price:||USD 25.00|
Currently, the application of nanoparticles has attracted much attention due to the potential of nanotechnology to lead to revolutionary changes in the petroleum industry. The literature contains numerous references to the possible use of this technology for enhanced oil recovery, nano-scale sensors and subsurface mapping. Little work has been conducted to establish numerical models to investigate nanoparticle transport in reservoirs, and even less for shale reservoirs. Unlike conventional reservoirs, shale formations usually contain four pore systems: inorganic matter, organic matter dominated by hydrocarbon wettability, natural fractures and hydraulic fractures. Concurrently, hydraulic fractures and the associated stimulated reservoir volume (SRV) from induced fractures play a critical role in significantly increasing well productivity.
In this paper, a mathematical model for simulating nanoparticle transport in shale reservoirs was developed. The simulator includes contributions from Darcy flow, Brownian diffusion, gas diffusion and desorption, slippage flow, and capillary effects based on the extremely low permeability and micro- to nano-scale of the pores. Moreover, these diverse mechanisms are separately applied to different portions of the reservoir due to the variation in media properties. Applications of the model include numerical examples from two-dimensional micro models to macro models, both with organic matter randomly distributed within the inorganic matrix. The effects of varying water saturation, grid pressure, and mass concentration of nanoparticles are shown graphically in these numerical examples. The main conclusion from these models is that, as expected, nanoparticles can only easily flow along with the aqueous phase into the fractures, but their transport into the shale matrix is quite limited, with little transport shown into the organic matter. In addition, based on the measured properties of synthesized magnetic carbon-coated iron-oxide nanoparticles, the distribution of the volumetric magnetic susceptibility and the magnetization of reservoir including SRV are simulated and displayed in the numerical cases with and without magnetic nanoparticles. The results demonstrate that magnetic nanoparticles can effectively enlarge the magnetic susceptibility and the magnetization of reservoir thus producing enhanced signals from well logging devices such as Nuclear magnetic resonance (NMR) and leading to improved reservoir and fracture characterization. This simulator can provide the benefits of both numerically simulating the transport and distribution of nanoparticles in hydraulically fractured shale formations and supplying helpful guidelines for nanoparticles injection plans to enhance well logging signals. Furthermore, this model can also allow us to mimic the tracer transport flow in unconventional reservoirs.
|File Size||6 MB||Number of Pages||27|
Aderibigbe, A., Cheng, K., Heidari, Z., Killough, J., Texas A&M University, Fuss, T., and Stephens, W. T., Saint-Gobain Proppants. 2014. Detection of Propping Agents in Fractures using Magnetic Susceptibility Measurements Enhanced by Magnetic Nanoparticles. Paper prepared for presentation at the SPE Annual Technical Conference and Exhibition, Amsterdam, The Netherlands, Oct. 27-29.
Alfi, M., Yan, B., Cao, Y.. Three-Phase Flow Simulation in Ultra-Low Permeability Organic Shale Via a Multiple Permeability Approach. Society of Petroleum Engineers. DOI: 10.15530/urtec-2014-1895733.
Ambrose, R.J., Hartman, R.C., Diaz Campos, M.. New Pore-Scale Considerations for Shale Gas in Place Calculations. Society of Petroleum Engineers. DOI: 10.2118/131772-MS.
Ambrose, R.J., Hartman, R.C., Diaz Campos, M.., 2010, New Pore-Scale Considerations for Shale Gas in Place Calculations. Society of Petroleum Engineers. DOI: 10.2118/131772-MS.
Bartko, K., Salim, A., Saldungaray, P.. Hydraulic Fracture Geometry Evaluation Using Proppant Detection: Experiences in Saudi Arabia. Society of Petroleum Engineers. DOI: 10.2118/168094-MS.
Cipolla, C.L., Lolon, E., Erdle, J.C.. Reservoir Modeling in Shale-Gas Reservoirs. Society of Petroleum Engineers. DOI: 10.2118/125530-MS.
Curtis, M.E., Ambrose, R.J., and Sondergeld, C.H., 2010, Structural Characterization of Gas Shales on the Micro- and Nano-Scales. Society of Petroleum Engineers. DOI: 10.2118/137693-MS.
El-amin, M.F., Salama, A., and Sun, S., 2012, Modeling and Simulation of Nanoparticle Transport in a Two-Phase Flow in Porous Media. Society of Petroleum Engineers. DOI: 10.2118/154972-MS.
Elimelech, M. and O'Melia, C.R. 1990. Kinetics of Deposition of Colloidal Particles in Porous Media. Environmental Science & Technology 24(10): 1528–1536). DOI: 10.1021/es00080a012
Energy Information Administration (EIA). 2013. Annual Energy Outlook Report 2013, http://www.eia.gov/forecasts/aeo/pdf/0383(2013).pdf.
Fisher, M.K., Heinze, J.R., Harris, C.D.., 2004, Optimizing Horizontal Completion Techniques in the Barnett Shale Using Microseismic Fracture Mapping. Society of Petroleum Engineers. DOI: 10.2118/90051-MS.
Ju, B. and Fan, T. 2009. Experimental Study and Mathematical Model of Nanoparticle Transport in Porous Media. Powder Technology 192(2): 195–202). DOI: http://dx.doi.org/10.1016/j.powtec.2008.12.017
Killough, J.E., Wang, Y., and Yan, B. Beyond Dual-Porosity Modeling for the Simulation of Complex Flow Mechanisms in Shale Reservoirs. Society of Petroleum Engineers. DOI: 10.2118/163651-MS.
King, G.E., Haile, L., Shuss, J.A.., 2008, Increasing Fracture Path Complexity and Controlling Downward Fracture Growth in the Barnett Shale. Society of Petroleum Engineers. DOI: 10.2118/119896-MS.
Mayerhofer, M.J., Lolon, E., Warpinski, N.R.., 2010, What Is Stimulated Rock Volume? Society of Petroleum Engineers. DOI: 10.2118/119890-MS.
Sbai, M.A. and Azaroual, M. 2011. Numerical Modeling of Formation Damage by Two-Phase Particulate Transport Processes during Co2 Injection in Deep Heterogeneous Porous Media. Advances in Water Resources 34(1): 62–82). DOI: http://dx.doi.org/10.1016/j.advwatres.2010.09.009
Shabro, V., Torres-Verdin, C., and Sepehrnoori, K., 2012, Forecasting Gas Production in Organic Shale with the Combined Numerical Simulation of Gas Diffusion in Kerogen, Langmuir Desorption from Kerogen Surfaces, and Advection in Nanopores. Society of Petroleum Engineers. DOI: 10.2118/159250-MS.
Swami, V. and Settari, A. A Pore Scale Gas Flow Model for Shale Gas Reservoir. Society of Petroleum Engineers. DOI: 10.2118/155756-MS.
Wang, F.P. and Reed, R.M. Pore Networks and Fluid Flow in Gas Shales. Society of Petroleum Engineers. DOI: 10.2118/124253-MS.
Warpinski, N.R., Mayerhofer, M.J., and Vincent, M.C.. Stimulating Unconventional Reservoirs: Maximizing Network Growth While Optimizing Fracture Conductivity. Society of Petroleum Engineers. DOI: 10.2118/114173-MS.
Yan, B., Alfi, M., Wang, Y.. A New Approach for the Simulation of Fluid Flow in Unconventional Reservoirs through Multiple Permeability Modeling. Society of Petroleum Engineers. DOI: 10.2118/166173-MS.
Yan, B., Killough, J.E., Wang, Y.. Novel Approaches for the Simulation of Unconventional Reservoirs. Society of Petroleum Engineers. DOI: 10.1190/URTEC2013-131.
Yu, W. and Sepehrnoori, K. Optimization of Multiple Hydraulically Fractured Horizontal Wells in Unconventional Gas Reservoirs. Society of Petroleum Engineers. DOI: 10.2118/164509-MS.
Zhang, T., Ellis, G.S., Ruppel, S.C.. 2012. Effect of Organic-Matter Type and Thermal Maturity on Methane Adsorption in Shale-Gas Systems. Organic Geochemistry 47(0): 120–131. DOI: http://dx.doi.org/10.1016/j.orggeochem.2012.03.012.