Addressing the risks of induced seismicity in sub-surface energy operations

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Addressing the risks of induced seismicity in sub-surface energy operations Richard Porter a, Alberto Striolo a, Haroun Mahgerefteh a, Joanna Faure Walker b a Department of Chemical Engineering, University College London, UK b Institute for Risk and Disaster Reduction, University College London, UK ShaleXenvironmenT Dissemination Event, Doha, Qatar, March 18, 2018

Introduction and overview Sub-surface energy operations are suspected of induced seismicity. This is a potentially damaging environmental impact which can negatively affect the public acceptability of a range of technologies. Induced seismicity case studies and associated possible causal mechanisms are reviewed. Procedures and strategies that could be implemented to help prevent and mitigate future occurrences are highlighted. 2

Seismic scales Modified Mercalli Intensity (MMI) Scale assigns a value from 1 to 12 based on the human perception and damaging effects of an earthquake on the built environment. Richter scale is denoted by:,ܥ ܦ ܤ ܣ ܯ where A is the observed amplitude, D is the distance between the earthquake epicentre and the seismograph and B and C are calibration constants. Moment magnitude scale (M w ), which is derived from the seismic moment, M 0, a value based on physical properties: ܣߤ ܯ where µ is the shear modulus, A is the fault rupture area and d is the fault slip distance. 3

Seismic scales Damaging effects of a given magnitude seismic event depend heavily on locational factors. Peak Ground Velocity and Peak Ground Acceleration are important damage indicators When MMI <~V VII there is little impact on well built structures but can cause damage to primitive or ageing structures without earthquake resistance Humans are much more sensitive to small earthquakes (Based on work by K.J. Nygaard, ExxonMobil and Wald et al., U.S. Geological Survey) 4 *Magnitudes correspond to intensities that are typically observed at locations near the epicentre of earthquakes of these magnitudes

Cases of suspected induced seismicity (Grigoli, F, et al. Reviews of Geophysics, 55, doi:10.1002/2016rg000542) (DESTRESS and SHEER EU projects) 5

Case study: 2011 2016, Oklahoma, wastewater disposal Combined monthly Arbuckle formation saltwater injection and induced earthquake rate and Central and Western Oklahoma 6 (Langenbruch, C., Zoback, M.D. Sci. Adv., 2, 2016, e1601542

Physical mechanisms that could cause induced seismicity (not to scale) a) and b): pore pressure (p) increase via a diffusional process, leads to a reduction in the effective normal stress (σ) on pre-existing faults allowing shear stress (τ) to overcome frictional resistance to fault sliding (Adapted from: Grigoli, F, et al. Reviews of Geophysics, 55, doi:10.1002/2016rg000542) 7

Physical mechanisms that could cause induced seismicity c) in hydraulic fracturing 1) Injection well drilled directly into fault 2) Hydraulic fracture directly intersects fault 3) Fluid flow through existing fractures 4) Fluid flow through more permeable rock strata above or below shale formations, or through bedding planes (not to scale) 8 (Adapted from: Davies, R.J., G. Foulger, A. Bindley, and P. Styles (2013), Mar. Petroleum Geol., 45, 171-185)

Physical mechanisms that could cause induced seismicity d) changes in the stress field brought about by changes in volume or mass loading transmitted to the fault poroelastically (not to scale) (Adapted from: Schultz et al. J. Geophys. Res. Solid Earth 122 (2017) 492-505) 9

Traffic Light Systems Traffic light systems for induced seismicity risk mitigation deploy a predetermined set of actions based on event magnitude: Green: operations and monitoring continue as planned. Amber: injection proceeds with caution at possibly reduced volumes and rates. Monitoring and analysis is increased. Red: Injection is stopped. Flowback is possibly initiated. Traffic light systems used to mitigate seismic risk in subsurface fluid injection in different locations 10

UK Regulatory Environment Operators wishing to undertake hydraulic fracturing must submit their plans to the relevant governmental department and the Environment Agency for approval prior to the operation commencing, these include Mapping of faults near the well, an assessment of faulting and formation stresses and risk of fault reactivation Information on the local background seismicity and risk of induced seismicity A summary of the planned operations, including stages, pumping pressures and volumes Measures to mitigate the induced seismicity risk and monitoring of seismicity during the operations Details of the real-time traffic light system and methods of fracture growth monitoring 11

Models for assessing risk and consequence of induced seismicity Types of Model Model inputs Solution methods Model outputs Statistical Fluid properties Viscosity Density Analytical Pore pressure changes (spatiotemporal) Hydrological Geomechanical Ground-motion prediction Adaptive/Bayesian Injection history Pressure Volume Rock properties Permeability Shear modulus Crack/fault properties Size Distribution Stress-fields Parameter uncertainties Numerical Stochastic Fracture/stimulation extent Fault slip potential Microseismic events tracking (rate) Magnitude Ground-motion Probabilities 12

Numerical model of transient pore pressure diffusion For the case of injection into a homogeneous, poroelastic medium with spherical geometry the diffusion equation is: ଶ ଶ Where, p is pressure (Pa), D is hydraulic diffusivity and r is radial distance from the injection source (m) Diffusivity D is currently fixed in space and time at 0.055 m2/s 1D model with physical domain of 800 m length and nodes equally spaced at 1 m intervals is used Injection pressure at centre of sphere with 2.38 m effective source radius Limitations: non-linear pressure dependent diffusivity and growth of fractures is not considered 13

Numerical model of transient pore pressure diffusion During the shut-in period after injection has terminated, the boundary condition at the origin, r = 0, with symmetry is given by: ଶ ଶ Partial differential equations are solved using an explicit forward differencing scheme on the MATLAB platform. Total simulation time of 1.2 106 secs (~330 hrs) Δt = 2.25 secs 14

Injection pressure boundary conditions for Basel case study 15

Hydrological model results 105 Transient pore pressure prediction 16

Generation of synthetic seismic cloud Following approach of Dinske, the impact of pore pressure perturbation on spatial stochastic distribution of pre-existing faults is assessed Each fault randomly assigned a critical stress parameter between 2 limits: Cmin = 0.01 MPa Cmax = 1MPa Pre-existing faults concentration = 2.44 10-4 m-3 Population of 127,856 faults, representing the number in a sphere of 500 m radius (C. Dinske. PhD thesis, University of Berlin, 2010) 17

Tracking events and rate of seismicity For comparison, 13,494 microseismic events (0.1 < MW < 3.2) were recorded in Basel during the same time period. 18

Concluding remarks Risk of damage or injury posed by induced seismicity in most cases of hydraulic fracturing are lower compared to those related to large scale waste water disposal, but may depend on regional geology and natural seismicity. All fluid injection processes ideally require detailed seismic hazard assessments prior to operations, with dedicated monitoring systems. Traffic light systems should also be used with carefully considered thresholds. Predictive models of induced seismicity can help to reduce risk of occurrence but require further development and testing. 19

Acknowledgement This research has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No. 640979 20