Slip tendency and reactivation pressure prediction of natural fractures at the Bedretto Underground Laboratory, Switzerland

Abstract

<p>Hydraulic shearing of natural fractures or fault zones is a key mechanism for enhancing permeability in engineered geothermal systems (EGS) in order to extract geothermal energy from crystalline basement rocks. Shear reactivation is achieved by hydraulic stimulation in an injection borehole, involving a complex hydro-seismo-mechanical response of fractured crystalline rock. A major challenge is to predict which fractures are reactivated at which reactivation pressures, in order to efficiently design the injection protocols and create a large fracture network for sufficient fluid circulation and heat exchange.</p> <p>The Bedretto Underground Laboratory for Geosciences and Geoenergies (BedrettoLab) in Switzerland serves as an in situ test-bed where meso-scale hydraulic stimulation experiments are conducted to better bridge the knowledge gap between laboratory scale experiments and complex reservoir scale processes (Ma et al. 2022). The BedrettoLab is located in a 100 m long enlarged section of the Bedretto tunnel (Ticino, Switzerland), with an overburden of more than 1000 m of granite. Several characterization, monitoring, and two stimulation boreholes were drilled. One of the stimulation boreholes (referred to as ST1) is 400 m long, 45°-dipping, and was equipped with a multi-packer system that partitions the borehole into 15 intervals. Before conducting two multi-stage hydraulic stimulation phases in borehole ST1, the rock volume was characterized with various geophysical logging tools, hydraulic tests, and mini-frac tests for stress measurements (Bröker and Ma 2022, Ma et al. 2022).</p> <p>Along the stimulation borehole, we mapped multiple clusters of sub-parallel pre-existing open fractures and fault zones that are preferentially oriented for reactivation in the estimated stress field. In this work, we compare our preceding probabilistic slip tendency and reactivation pressure estimates with the results from hydraulic stimulation experiments. The interval pressure and flowrate data from the stimulations reveal a reactivation of the natural fractures associated with an increase in injectivity. A comparison of the expected stress field around the stimulation interval with the observed reactivation pressure indicates that the fractures were likely reactivated by hydraulic shearing. The observed reactivation pressures are in the range of the preceding estimates, but a precise estimation is challenging due to the large number of input parameters, i.e. stress magnitudes and orientation, fracture orientation, pore pressure, coefficient of friction, and their uncertainties.</p> <p><strong>References:</strong></p> <p>Bröker, K., & Ma, X. (2022). Estimating the Least Principal Stress in a Granitic Rock Mass: Systematic Mini-Frac Tests and Elaborated Pressure Transient Analysis. <em>Rock Mechanics and Rock Engineering</em>. https://doi.org/10.1007/s00603-021-02743-1</p> <p>Ma, X., Hertrich, M., Amann, F., Bröker, K., Gholizadeh Doonechaly, N., Gischig, V., Hochreutener, R., Kästli, P., Krietsch, H., Marti, M., Nägeli, B., Nejati, M., Obermann, A., Plenkers, K., Rinaldi, A. P., Shakas, A., Villiger, L., Wenning, Q., Zappone, A., … Giardini, D. (2022). Multi-disciplinary characterizations of the BedrettoLab -- a new underground geoscience research facility. <em>Solid Earth</em>, <em>13</em>(2), 301–322. https://doi.org/10.5194/se-13-301-2022</p>

Fault Zone Spatial Stress Variations in a Granitic Rock Mass: Revealed by Breakouts Within an Array of Boreholes

“…org/10.3929/ETHZ-B-000517623. In addition to the processed data, all the raw data of downhole logging (Bröker et al, 2023) is available on the ETH research collection: https://doi.org/10.3929/ethz-b-000616727.…”

“…The fracture data set (Wenning et al., 2023) is available on the ETH research collection: https://doi.org/10.3929/ethz-b-000591341; The breakout data set (van Limborgh et al., 2021) is available on the ETH research collection: https://doi.org/10.3929/ethz-b-000466280; The borehole trajectory data set (Shakas et al., 2021) is available on the ETH research collection: https://doi.org/10.3929/ETHZ-B-000517623. In addition to the processed data, all the raw data of downhole logging (Bröker et al., 2023) is available on the ETH research collection: https://doi.org/10.3929/ethz-b-000616727.…”