Use of controlled fractures in enhanced geothermal systems
Keywords:
Enhanced geothermal systems technology, slot-drill fractures, fractured horizontal wells, coupled heat and fluid flow, explicit fracture modelAbstract
Enhanced geothermal systems are typically tight and naturally fractured like unconventional oil and gas reservoirs, so the leading technology being evaluated for their commercial development is also multistage fractured horizontal wells. The state-of-the-art approach of thermal recovery from enhanced geothermal systems involves injecting cold water into a multiply fractured horizontal/deviated well and producing hot water from a parallel well above the injector. The limited control over the hydraulic fracture location, size, and orientation in multistage fractured horizontal wells results in low and unpredictable thermal recoveries. To this end, we present an alternative technology that employs unique configurations of mechanically cut fractures to recover heat efficiently from all parts of hot rocks in the subsurface. The precise control over these fractures’ location, size, orientation, and conductivity facilitates the design of suitable configurations of intersecting fractures. This paper presents high-resolution numerical studies of thermal recovery from both multistage fractured horizontal wells and the proposed approach. The results show that the proposed approach can recover significantly more thermal energy than multistage fractured horizontal wells. Additionally, the temperature profiles show that precise control over the location of the fractures allows the reliable and efficient recovery of heat from all parts of the enhanced geothermal systems, which could be the key to their commercial development.
Document Type: Original article
Cited as: Rashid, H. U., Olorode, O. Use of controlled fractures in enhanced geothermal systems. Advances in Geo-Energy Research, 2024, 12(1): 35-51. https://doi.org/10.46690/ager.2024.04.04
ReferencesAghahosseini, A., Breyer, C. From hot rock to useful energy: A global estimate of enhanced geothermal systems potential. Applied Energy, 2020, 279: 115769.
Alghalandis, Y. DFNE Practices with ADFNE. Alghalandis Computing, Toronto, Ontario, Canada, 2018.
Amer, H., Olorode, O. Numerical evaluation of a novel slotdrill enhanced oil recovery technology for tight rocks. SPE Journal, 2022, 27(4): 2294-2317.
Asai, P., Panja, P., McLennan, J., et al. Performance evaluation of enhanced geothermal system (egs): Surrogate models, sensitivity study and ranking key parameters. Renewable Energy, 2018, 122: 184-195.
Batchelor, A. S. Brief summary of some geothermal related studies in the United Kingdom. Paper Presented at the second NATO-CCMS meeting on dry hot rock geothermal energy, Los Alamos, NM, USA, 28 June, 1977.
Berge, R. L., Klemetsdal, Ø., Lie, K.-A. Unstructured voronoi grids conforming to lower dimensional objects. Computational Geosciences, 2019, 23: 169-188.
Berge, R. L., Klemetsdal, Ø., Lie, K.-A. Unstructured PEBI grids conforming to lower-dimensional objects, in Advanced Modeling with the MATLAB Reservoir Simulation Toolbox, edited by K.-A. Lie and O. Møyner, Cambridge University Press, Cambridge, pp. 3-45, 2021.
Carter, E. Novel concepts for unconventional gas development of gas resources in gas shales, tight sands and coalbeds. Final report RPSEA Subcontract, 2009.
Carter Jr, E. E. Method and apparatus for increasing well productivity. US 9732561, 2017.
Collignon, M., Klemetsdal, Ø. S., Møyner, O., et al. Evaluating thermal losses and storage capacity in hightemperature aquifer thermal energy storage (HT-ATES) systems with well operating limits: Insights from a studycase in the Greater Geneva Basin, Switzerland. Geothermics, 2020, 85: 101773.
Collignon, M., Klemetsdal, Ø. S., Møyner, O. Simulation of geothermal systems using MRST, in Advanced Modeling with the MATLAB Reservoir Simulation Toolbox, edited by K.-A. Lie and O. Møyner, Cambridge University Press, Cambridge, pp. 491-514, 2021.
Farrar, R. B., Mayercheck, W. D., Bockosh, G. R. Method of mining a mineral deposit seam. US 5033795, 1991.
Franco, A., Donatini, F. Methods for the estimation of the energy stored in geothermal reservoirs. Journal of Physics: Conference Series, 2017, 796: 012025.
Gilman, J. R., Kazemi, H. Improvements in simulation of naturally fractured reservoirs. SPE Journal, 1983, 23(4): 695-707.
Gong, F., Guo, T., Sun, W., et al. Evaluation of geothermal energy extraction in Enhanced Geothermal System (EGS) with multiple fracturing horizontal wells (MFHW). Renewable Energy, 2020, 151: 1339-1351.
Hurd, R. L. Method and apparatus for deep mining using chain driven in fixed direction. US 4232904, 1980.
Jung, Y., Pau, G. S. H., Finsterle, S., et al. Tough3 user’s guide, version 1.0. 2021.
Karimi-Fard, M., Durlofsky, L. J., Aziz, K. An efficient discrete-fracture model applicable for general-purpose reservoir simulators. SPE Journal, 2004, 9(2): 227-236.
Kim, J.-G., Deo, M. D. Finite element, discrete-fracture model for multiphase flow in porous media. AIChE Journal, 2000, 46(6): 1120-1130.
Klemetsdal, Ø., Andersen, O., Krogstad, S., et al. Modelling and optimization of shallow underground thermal energy storage. Geoenergy, 2023, 1(1): geoenergy2023-005.
Lie, K.-A. An Introduction to Reservoir Simulation Using MATLAB/GNU Octave: User Guide for the MATLAB Reservoir Simulation Toolbox (MRST). Cambridge, UK, Cambridge University Press, 2019.
Lie, K.-A., Møyner, O. Advanced Modeling with the MATLAB Reservoir Simulation Toolbox. Cambridge, UK, Cambridge University Press, 2021.
Li, L., Lee, S. H. Efficient field-scale simulation of black oil in a naturally fractured reservoir through discrete fracture networks and homogenized media. SPE Reservoir Evaluation & Engineering, 2008, 11(4): 750-758.
March, R., Maier, C., Doster, F., et al. A unified framework for flow simulation in fractured reservoirs, in Advanced Modeling with the MATLAB Reservoir Simulation Toolbox, edited by K.-A. Lie and O. Møyner, Cambridge University Press, Cambridge, pp. 454-490, 2021.
Moore, J., Simmons, S., McLennan, J., et al. Utah forge: Phase 2c topical report. Energy and Geoscience Institute at the University of Utah, 2019.
Odunowo, T. O. Numerical simulation study to investigate expected productivity improvement using the ”Slot-Drill” completion. Texas, Texas A & M University, 2012.
Olorode, O. M., Freeman, C. M., Moridis, G. J., et al. High resolution numerical modeling of complex and irregular fracture patterns in shale-gas reservoirs and tight gas reservoirs. SPE Reservoir Evaluation & Engineering, 2013, 16(4): 443-455.
Olorode, O., Wang, B., Rashid, H. U. Three-dimensional projection-based embedded discrete-fracture model for compositional simulation of fractured reservoirs, SPE Journal, 2020, 25(4): 2143-2161.
Olorode, O., Wang, B., Rashid, H. U. Numerical modeling of fractured unconventional oil, in Advanced Modeling with the MATLAB Reservoir Simulation Toolbox, edited by K.-A. Lie and O. Møyner, Cambridge University Press, Cambridge, pp. 409-453, 2021.
Pruess, K., Narasimhan, T. N. A practical method for modeling fluid and heat flow in fractured porous media. SPE Journal, 1982, 25(1): 14-26.
Rao, X., Liu, Y. A numerical modeling method of fractured reservoirs with embedded meshes and topological fracture projection configurations. Computer Modeling in Engineering & Sciences, 2022, 131(3): 1403-1429.
Rao, X., Xin, L., He, Y., et al. Numerical simulation of twophase heat and mass transfer in fractured reservoirs based on projection-based embedded discrete fracture model (pEDFM). Journal of Petroleum Science and Engineering, 2022, 208: 109323.
Rashid, H. U., Abbasi, B., Mohanty, M. Performance optimization of an EGS in nevada using DFN models. Paper ARMA-DFNE-18-0761 Presented at the 2nd International Discrete Fracture Network Engineering Conference, Seattle, Washington, USA, 20-22 June, 2018.
Rashid, H. U., Olorode, O. A continuous projection-based EDFM model for flow in fractured reservoirs. SPE Journal, 2024, 29(1): 476-492.
Ţene, M., Bosma, S. B., Kobaisi, M. S. A., et al. Projectionbased Embedded Discrete Fracture Model (pEDFM). Advances in Water Resources, 2017, 105: 205-216.
Tester, J. W., Anderson, B. J., Batchelor, A., et al. The future of geothermal energy. Massachusetts Institute of Technology, 2006.
Warren, J. E., Root, P. J. The behavior of naturally fractured reservoirs. SPE Journal, 1963, 3(3): 245-255.
Wong, D., Doster, F., Geiger, S. Embedded discrete fracture models, in Advanced Modeling with the MATLAB Reservoir Simulation Toolbox, edited by K.-A. Lie and O. Møyner, Cambridge University Press, Cambridge, pp. 375-408, 2021.