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This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 640979
Assessment of deep subsurface hydro-mechanical and transport processes for reducing the
environmental footprint of shale gas development.
Speaker: Dr. habil C. I. McDermott
FracRisk
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 640979
Overview of talk
• 13 Partners, only a brief overview.
• Objectives
• Conceptual approach of FracRisk
• Variety of work in progress
• Some Highlights
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 640979
Objectives
1) Assessment of the environmental impact (footprint) expressed in seismic activities and released substances in the environment. 2) Forward computer modelling based on six focused exemplary scenarios to predict the effect of the migration of chemicals and gases, predict mechanical effects (seismics), and to support risk and uncertainty assessment. 3) Develop and test a framework for risk assessment to be used both by regulators and industry. 4) Development of criteria for appropriate monitoring strategies. 5) Provision of scientific recommendations and a knowledge base for best practices for shale gas development with direct application and relevance to the provision of consistent regulation.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 640979
Key aspects of FracRisk
• Geomechanical facies approach, provides the basis of comparison of different sites
• Multiscale baseline data sets from USA and Europe
• Risk analysis – scenario based quantification of
risks involved – Bottom up and top down
approaches
• Numerical modelling – directed by risk analysis – process oriented approach – forward modelling approach – integration of relevant components
• Experimental investigation – Geochemical changes – Actual lab scale fracking
experiments – Mitigation experiments
• Monitoring and mitigation – Risk and impact reduction – Comprehensive summary of
techniques – Development of new techniques
• Legislation – Science based recommendations – Unifying
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 640979
WP2
WP3
WP4
WP5 WP6
WP7
Project Structure
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 640979
Source Pathway Target
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 640979
Focused Modelling Scenarios to Delimit Possible Threats, Prevention Methods, Recovery Methods and
Consequences
• Geomechanics of frack development • Hydro-mechanics and geo-seismicity • Driving forces (e.g. gravity, capillarity, diffusion, initial pressure, pressure gradient). • Time scale (2h for the fracking process, 100 years for methane migration). • Spatial scale (near field and far field). • Fluid (fracking fluids or methane).
Subdivided according to processes
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 640979
Dealing with Uncertainties
• “Structural” or “Systemic” Uncertainty
– Which scenario is most relevant?
• Parametrical Uncertainty
– Subsurface heterogeneity
• Engineering (+-5%)
• Geological (+-5 orders of magnitude)
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 640979
The SG-RBCA Tier 3 Tier 2 Tier 1
advanced specific site assessment information
specific site assessment information
general site assessment information
risk based analysis that involves a significant incremental effort over the Tier 2, in order to develop site-specific corrective action goals.
risk based analysis that involves an incremental refinement of the Tier 1, in order to develop site-specific corrective action goals. monitoring data
risk based analysis utilizing non-site-specific corrective action goals for complete & potentially complete direct & indirect human exposure, ecological receptors & habitats
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 640979
RCBA Platform to Make Project Results Accessible
Development of consistent protocols in a software platform to make project work accessible to wide audience
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 640979
Tier 1 Assessment Tools, Available on FracRisk website
• Geomechanical Facies Reports
– Operational parameters from seven key shale gas basins within Europe
• FEP analysis, top down and bottom up for different scenarios. Ranked per scenario for risk, being probability X impact
• Source // Pathway // Target
• Chemical Limits
• Multiple relevant baseline & experimental data sets
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 640979
Data sets available
1. Hydro-geo-chemo-mechanical facies
characterisation of seven main EU shale
basins (D2.3)
2. Marcellus Shale Water and Air Quality Data Sets (on website)
3. UK Coal Bed Methane Composition (from Dart
Energy’s Airth field) (D2.2)
4. UK Shale Gas Composition from
Cuadrilla’s Bowland shale (D2.3)
5. UK Produced water composition (from Dart
Energy’s Airth field)
6. USA Produced water data sets from CBM &
shale gas (D2.3)
7. Batch reaction experiments to replicate
base line conditions (D2.4)
8. Batch reaction experiments to replicate produced water (D2.4)
9. Hydro mechanical and geometrical data
from experimental fracking – (D2.6 due
May 2017)
10. Mine water data sets (on website)
11. Passive seismic data from the UK (D2.5)
12. Gas production data (D2.7 due May 2017)
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 640979
Subtask 3.1: FEP Database Construction. List of Events and Processes
Slide 13
1 Operational Events 1.1. Multiple well drilling from same platform 1.2. Initial drilling to given below water table (Open Hole) 1.2.1. Casing emplacement 1.2.2. Cementation with wiper plug 1.2.3. Drilling through wiper plug and casing shoe 1.2.4. Additional cementation 1.3. Logging Borehole 1.4. Drilling horizontal borehole 1.4.1. Casing horizontal borehole 1.4.2. Cementation 1.4.3. Perforation 1.5. Hydraulic fracturing 1.5.1. Out of zone / beyond pumping 1.6. Plugging & drilling out of plugs 1.7. Flow back 1.7.1. Production 1.8. Abandonment 1.9. Seal failure
2 Natural events 2.1. Earthquakes 2.2. Large scale erosion 2.3. Hydrological and hydrogeological response to geological changes 2.4. Cap rock failure 2.5. Unexpected large scale scenario
3 Accidents and unplanned events 3.1. Surface chemical spills 3.2. Overpressuring 3.3. Poor site characterization 3.4. Incorrect chemical mix released into fracking fluid 3.5. Cementation poorly undertaken (spaces left) 3.6. Well lining too limited, open hole left 3.7. Inappropriate management of drill cuttings and spent drilling muds. 3.8. Unlikely significant event
Events Processes
1 Thermal effects on the borehole 1.1. Thermal effects on borehole and seal integrity. 1.2. Thermal effects on the injection point
2 Hydraulics / Fluid Pressure Dominated 2.1. Fluid pressure exceeds rock fracking pressures generating new fractures 2.2. Fluid exceeds fault sealing pressures 2.3. Fluid pressure exceeds stability of part of the plant construction. 2.4. Displacement of surrounding formation fluids 2.5. Buoyancy-driven flow 2.6. Advection and co-migration of other gas 2.7. Formation of Gas hydrates 2.8. Water mediated transport 2.8.1. Advection 2.8.2. Dispersion 2.8.3. Diffusion 2.9. Hydraulic and production fluids and the associated contaminants release processes
3 Chemical 3.1 Corrosive mixture attacks plant 3.2 Corrosive mixture attacks geology 3.3 Sorption and desorption 3.4 Mineral dissolution 3.5 Heavy metal release
4 Mechanical 4.1 Soil and rock deformation around boreholes
4.1.1 Subsidence of ground related to gas extraction 4.2 Propagation of fractures beyond the target zone 4.3 Fluid exceeds fault sealing pressures 4.4 Fault valving 4.5 Generation of excavation disturbed zone around well 4.6 Micro-cracking in the casing cements
Results:
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 640979
Features (1/3)
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 640979
D3.2 Characterization of key FEP risk scenarios
Slide 15
1 Least Critical
2
3
4
5 Most Critical
List of FeaturesOverall Importance In
Risk Analysis
1 Hydrogeology S1 S2 S3 S4 S5 S6
1.1. Hydrocarbon bearing formation (Source)
1.1.1. Type of the hydrocarbon bearing formation 5 5 5 3 3 3 4
1.1.2. Geometry of the hydrocarbon bearing formation 4 2 4 1 3 4 3
1.1.2.1 Thickness 4 1 4 1 3 3 3
1.1.3. Rock / Petrophysical properties of the hydrocarbon bearing formation 4 3 4 2 3 4 4
1.1.3.1 Lithology 5 3 5 3 4 5 5
1.1.3.2 Diagenesis 4 2 2 4 4 4 2
1.1.3.3 Pore architecture 4 2 4 2 3 2 3
1.1.3.4 Mineralogy 4 1 3 4 3 4 3
1.1.3.5 Kerogen type 5 1 2 5 4 3 3
1.1.3.6 Thermal maturation of source rock 4 1 2 4 3 3 3
1.1.3.7 Porosity 3 2 3 3 3 2 3
1.1.3.8 Intrinsic permeability 4 3 4 2 4 4 2
1.1.3.9 Relative permeability 5 1 3 2 5 4 2
1.1.3.10 Entry pressure 5 2 2 1 5 2 2
1.1.3.11 Residual saturation 2 1 1 1 2 1 2
1.1.3.12 Hysteresis 2 1 1 1 2 2 2
1.1.4. Stress and Mechanical properties 4 3 4 1 1 1 1
1.1.5. Heterogeneity of the hydrocarbon bearing formation 3 2 3 2 3 3 2
1.1.6. Fractures and faults within the hydrocarbon bearing formation 4 3 4 2 4 4 2
1.1.6.1 Porosity of the fracture 3 2 3 1 3 3 3
1.1.6.2 Intrinsic permeability of the fracture 4 3 4 1 4 4 2
1.1.6.3 Relative Permeability of the fractures 5 1 3 1 5 5 2
1.1.6.4 Fracture geometry 5 2 4 1 4 5 3
1.1.7. Undetected features within the hydrocarbon bearing formation 5 2 5 3 5 4 3
1.1.8. Vertical geothermal gradient of the hydrocarbon bearing formation 3 1 2 3 3 2 3
1.1.9. Formation pressure of the hydrocarbon bearing formation 2 2 2 2 2 2 2
1.2. Fluids1.2.1. Hydrocarbons 4 2 2 4 3 3 3
1.2.2. Natural formation water 5 2 3 5 4 3 3
1.2.3. Production fluids 4 3 4 4 3 2 3
1.2.4. Pore fluid composition within the fracking reservoir 4 2 3 4 3 2 2
1.2.5. Reservoir fluids 4 2 2 4 3 2 2
1.2.6. Other fluids 4 2 2 4 2 2 2
1.3. Overburden
1.3.1. Geometry of the overburden 3 2 3 1 3 3 3
1.3.1.1 Thickness 4 2 3 1 3 3 4
1.3.2. Rock / Petrophysical properties of the overburden 3 2 3 1 3 3 3
1.3.2.1 Lithology 4 2 4 3 4 4 4
1.3.2.2 Diagenesis 5 1 2 4 5 3 2
1.3.2.3 Pore architecture 3 1 3 2 2 3 3
Relevance to ScenarioA. Features of the Natural System
List of key parameters for
modelling (UEDIN, EWRE)
FEP Database (D3.1)
Ranked FEP
Database(D4.1)
Provide models with
reference ranges,
boundary conditions
Chemical Database D4.2 M 5.1: Generic modelling
scenarios S1 to S6
Hydro-geo-chemical facies
characteristics (D2.3)
04.12.2015
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 640979
Tier 2 Assessment: Generic Modelling Scenarios
Recommendations
Identification of key threats during exploration, operation and closure through TIER 1 assessment
TIER 2: Selection of generic scenario Selection of parameter sets f(a,b,c,d,e) Generation of likely outcomes Identification of key risks
Significant computational power required -> development of a response surface allows the detailed modelling results to be accessed
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 640979
Tier 2 Assessment Tools
• Definition of key parameter sets for each scenario based on FEP, GM & other data sets
• Multiple numerical simulations
• Focus on the PATHWAY
Dimensions Symbol Parameter Medium
Depth to strata
Thickness Lateral Consistency
(heterogeneity) Extent (for faulting)
Surface
Overburden Shale
Underburden Faulting
Geology
& Geometry
𝐿2 𝑘𝑥 ,𝑘𝑦 Horizontal Permeability Hydraulic properties
Rock
𝐿2 𝑘𝑧 Vertical Permeability
𝑛 Porosity
𝐿−1 𝑆0 Specific Storativity
𝑀𝐿−1𝑇−2 𝜎𝑣′ Vertical In-Situ stresses
𝑀𝐿−1𝑇−2 𝜎ℎ𝑚′ Minimum Horizontal
𝑀𝐿−1𝑇−2 𝜎ℎ𝑀′ Maximum Horizontal
𝑀𝐿−1𝑇−2 𝐸 Young modulus Elastic constants
𝜈 Poisson ratio
degrees 𝜙 Friction angle Plastic Parameters
𝜓 𝜓 Dilation angle
𝑀𝐿−1𝑇−2 𝐸𝑙𝑜𝑎𝑑𝑖𝑛𝑔 Loading Modulus
𝑀𝐿−1𝑇−2 𝜎𝑐 Initial unconfined compressive
strength (UCS)
𝑀𝐿−3 𝜌 Density Density Fluid
𝑀𝐿−1𝑇−1 𝜇 Viscosity Viscosity
𝑀𝐿−3 𝑐𝑐𝑙 Chloride concentration Quality
…..
𝑀𝐿−1𝑇−1 𝜇 Viscosity Fluid parameters Fracturing
𝑀𝐿−3 𝜌 Density
𝑐𝑖 , 𝑖 = 1,𝑁𝑐 Chemical composition
𝐿3𝑇−1 𝑄 Flowrate
𝑀𝐿−1
2 𝑇−2 𝐾𝐼𝐶 Fracture toughness
𝑀𝐿−1𝑇−2 𝜎𝑇 Tensile strength
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 640979
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 640979
Computational demand
• To parameterise one scenario can take several thousand computer simulations
– Use of analytical models
– Use of standard numerical models
– Use of state of the art tools & development
• Development of PCT to fit numerical results with response surfaces which can then be used in the SG-RBCA program for predictive modelling
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 640979
Model Data, Tier 2
% , , , , , , , , ,f a b c d e f g h i j
X
Y
Thre
sho
ld
Some generic parameters for all scenarios, and some scenario specific
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 640979
Model Data Interpreted Using Polynomial Functions (Emulator)
% , , , , , , , , ,f a b c d e f g h i j
X
Y
Thre
sho
ld
Some generic parameters for all scenarios, and some scenario specific
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 640979
Interpreted Surface for RBCA
% , , , , , , , , ,f a b c d e f g h i j
X
Y
Thre
sho
ld
Some generic parameters for all scenarios, and some scenario specific
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 640979
What do we do with the information?
• Critical Chemical Threshold data base (available)
• Geophysical monitoring techniques review and new interpretation techniques developed.
• Ongoing investigation of mitigation & well sealing techniques
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 640979
Combining FEP’s, Top Down Hazard Assessment and Bow Tie Diagrams
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 640979
Experimental Work for Validation
• Geochemistry
• Isotope comparison
• Mechanics
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 640979
Batch scale experimental data on water quality
• Deliverable 2.4 - Report on reactive experimental data
1 – Mix formation shale with synthetic fracturing fluid.
Formations: • Marcellus Shale - USA • Bowland Shale - UK • Kimmeridge Clay - UK
2 – Pressurise to 1500psi (103 bar) to replicate in-situ formation conditions.
3 – Heat to 65oC in oven to simulate formation temperature.
Analyse: Liquid reactants & products Solid reactants & products
Quantify change in geochemistry of system
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 640979
Isotopic data from source identification
• Gas composition and isotopic data has been obtained from UK Coal Bed Methane (from Dart Energy’s Airth field) and shale gas (from Cuadrilla’s Bowland shale operations)
• The isotopic tracers are 12, 13, 14C and 1,2H and the diverse noble gas isotopes of He, Ar, Ne, Kr and Xe.
Slide 27
4He concentration ~29,000 to 47,500 times higher than groundwater
Helium will be an excellent tracer of migrated gas
C&H isotopes show thermogenic origin
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 640979
Experimental fracking of large scale samples
Slide 28
Anisotropic stress field mechanical tests in the GREAT cell
Unconfined fracking exp. on resin samples
Anisotropic stress field
Anisotropic strain response
Sample size
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 640979
Subtask 3.3: Source compartment characterization using seismological techniques: microseismicity and mechanical processes
29
Results:
(Davies et al. 2013)
(Shapiro and Dinske, 2009) (Caffagni et al. 2016)
D3.4 Report on spatio-temporal distribution of microseismicity compared with other baseline data during fracking (due 31st May 2017)
Source Characterisation
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 640979
Subtask 3.5: Source compartment characterization by tracer methods (UGOE)
Typical tracer spreading patterns in conjunction with the Decision
Matrix defined by Table #1, suggesting which parameters are
best determined from each time stage (transport regime). This
approach requires the use of dual-reactive tracer pairs.
D3.5 Multiple-injection design and parameter sensitivity analyses regarding the use of artificial tracers (conservative, partitioning-dual-reactive; with time- or process-steered in-situ release; detectable uphole during flowback and production) for characterizing the hydrogeology of ‘Source’ compartments (due 30st Sept. 2017 M28)
Results:
Source Characterisation
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 640979
Subtask 3.6: Storage, release and transport in shale matrix
Motivation: reliable evaluation of gas resources and mechanisms/kinetic of extraction is critical to evaluate risks if leakage occurs. Objective: determine how C1-C5 gas molecules can be stored in the shale matrix and the mechanisms of release in relation with fracking. Method: develop a molecular modeling approach to determine the thermodynamic and physical stability of C1-C5 gas molecules in nanometer aperture dislocation and cleavage plains
Source Characterisation
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 640979
Modelling Developements
• Review of Capabilities of Existing Industry and Research Codes – Potential applicability of the reviewed codes
– Criteria (among others): simulated processes, numerical solution techniques, available constitutive laws
– Special focus on codes for flow in fractured media and for mechanical effects
• Report on developments for DFN models and multi-continua models – Recent implementations as required for the focused scenarios S2 and S4
– Discrete fracture model extended to 3D and for flexible use with different ‘’physics’’
– 2pminc model extended to 3D
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 640979
• Scaling Laws for hydrogeologic parameters – Statistical model for interpretation of hydrological properties with non-
Gaussian behavior
– Model formulation, procedure and algorithms, first applications
• Parameter and model uncertainty quantification – Developments related to Maximum Likelihood and model identification
criteria
– Data-assimilation and uncertainty quantification framework for application to plumes of dissolved chemicals in heterogeneous aquifers
Modelling Developements
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 640979
Domino effect
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 640979
Regional scale methane migration
Scenario 5 (University of Göttingen)
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 640979
Task 6.1 Monitoring D6.1 Report on existing (geophysical) monitoring techniques (due 15th Feb. 2016)
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 640979
Mitigation Objective: Investigate injectable self-healing fluids for leakage mitigation both in the well and in fractures Method: Use of Si-solgel Developing an Al-B doped Si-solgel formulation that becomes a chemically stable hard-gel after curing in water. Laboratory testing of the efficiency and emplacement protocols Results:
Solgel optimization
Syringe
VALV-SYR VALV-VAC
Rock core Vacuum pump
Permeability tests
Carbonate
Silica gel
~ 0,5 mD
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 640979
Legal Interim Review
A review of EU primary legislation relating to the Exploration and Exploitation of Shale Gas and other Unconventional Fossil Fuels (UFF)
A literature review of devolved Member States legislation
The results were summarised and presented in an Interim Report in the November 2016 submission
Ongoing analysis with respect to its effectiveness in regulating Geohazards and Risks
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 640979
Achievements
Achievements - 23 deliverables submitted ~ on time - Dec 2016 the project had produced ~12 peer reviewed articles and
presented ~40 times at various national and international conference levels.
- Consistent conceptual approach including multi-scales of data through complex modelling to RBCA-SG approach developed.
- Geomechanical Facies Modelling of Different Basins - FEP data base for Shale Gas, Chemical and Seismic Data Bases - Generic Modelling Scenarios S1 to S6, conceptual models
completed, numerical modelling underway - Geophysical monitoring techniques review and new interpretation
techniques developed. - Legal review and initial recommendations.