wipp far field hydrology n.
Download
Skip this Video
Loading SlideShow in 5 Seconds..
WIPP Far-Field Hydrology PowerPoint Presentation
Download Presentation
WIPP Far-Field Hydrology

Loading in 2 Seconds...

play fullscreen
1 / 18

WIPP Far-Field Hydrology - PowerPoint PPT Presentation


  • 94 Views
  • Uploaded on

WIPP Far-Field Hydrology. Kristopher L. Kuhlman 4 th US/German Workshop on Salt Repository Research, Design and Operations Berlin, Germany September 2013.

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about 'WIPP Far-Field Hydrology' - bud


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
wipp far field hydrology

WIPP Far-Field Hydrology

Kristopher L. Kuhlman

4th US/German Workshop on Salt Repository Research, Design and Operations

Berlin, Germany September 2013

Sandia National Laboratories is a multi-program laboratory managed and operated by Sandia Corporation, a wholly owned subsidiary of Lockheed Martin Corporation, for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-AC04-94AL85000. SAND NO. 2013-7622C

waste isolation pilot plant wipp
Waste Isolation Pilot Plant (WIPP)

WIPP site

4 × 4 mile square

(6.5 km on a side)

Google Maps image

Transuranic (TRU) waste permanent underground geologic repository

wipp hydrogeology
WIPP Hydrogeology
  • Repository in Salado Permian bedded salt
    • >500-m thick salt unit
    • Immeasurably low undisturbed permeability from surface
  • Human Intrusion required for repository breach
    • High-pressure Castile brine
  • Culebra Member Rustler Frm.
    • Most permeable unit
    • Laterally extensive
    • ~7.5-m thick dolomite
    • Fractured (dual-porosity)
    • Focus of hydrologic testing
culebra conceptual model
Culebra Conceptual Model

East

West

(Nash Draw)

  • Two types of processes control Culebra transmissivity (T)
    • Depositional
      • Lateral deposition of sediments or evaporites (mudstone/halite facies)
    • Alteration
      • Fracturing
      • Salado dissolution
      • Fracture in-filling
  • High T in West
    • WIPP-26 : -2.9 log10(T) m2/s
  • Low T in east
    • SNL-15 : -12.9 log10(T) m2/s
single well hydraulic tests
Single-Well Hydraulic Tests

30 km

  • >90 tested Culebra locations
    • Doesn’t include slug or drill-stem tests
  • Single-well tests show 10 orders of magnitude variation in T
multi well hydraulic tracer tests
Multi-Well Hydraulic/Tracer Tests

~30 m

~30 m

~30 m

  • 20 pad-scale pumping tests
    • 10 pads / 20 tests / 36 wells
  • 8 multi-well tracer tests
    • Convergent/Dipole/Single-Well Injection-Withdrawal
    • H-19: drilled 7 wells for tracer test in 1990s
multi pad hydraulic tests
Multi-Pad Hydraulic Tests
  • 17 multi-pad pumping tests
    • Up to13 observation wells/test
    • Observations up to 11 km away
    • 73 pump/observation pairs
    • Q up to 2.6 L/s (42 gpm)
    • Up to 63 days of pumping
  • Diffusivity (D=T/storativity) used to characterize multi-well response
  • Close match to single-well fractured/un-fractured distinction
large scale natural stimuli tests
Large-Scale Natural Stimuli “Tests”
  • Growing database of high-frequency observations.
  • Natural stimuli have large-scale effects
    • Precipitation
    • Barometric pressure
    • Earth-tides
    • Oil/gas/potash drilling
    • Mine collapses
  • “Free” testing stimuli
    • Poor source characterization
    • Hard to untangle multiple effects

IMC-461 (in Nash Draw)

pressure response and rainfall

oil gas potash drilling
Oil/Gas/Potash Drilling
  • Not natural stimuli, uncontrolled and ubiquitous
  • Discrete location/time affects smaller area (< 5km)
  • Questionable info available regarding “spud” dates
  • Simulation?
    • 2D groundwater flow due to pulse source
potash mine subsidence
Potash Mine Subsidence
  • March 2012 large mine collapse (unoccupied)
    • ~1.5 km of roof fell
    • 3.0 magnitude event reported by USGS
  • 2 Culebra wells near collapse showed significant shifts in water level
  • Oscillatory response is not purely hydraulic
    • Model a geomechanical response?
barometric pressure earth tides
Barometric Pressure & Earth-Tides
  • Previously removed to analyze pumping test data
    • Statistical approach (moving average least-squares fit)
  • Alternately, use physical model to explain effects
  • Estimate:
    • aquifer T, S, and porosity
    • vadose zone air permeability
  • Source is well defined
  • Simulation?
    • 1D vertical pressure wave
    • Solid stress/strain relation

A: Original data

B&C: Barometric only

D: Barometric + Earth tide

precipitation
Precipitation
  • Most rain in a few major storms in Chihuahua Desert
  • Shallow system dries out between rain events
  • Source poorly characterized spatially
  • Karst plumbing in Nash Draw is complex
    • Complex geology
    • Difficult to simulate hydrology
  • Simulation?
    • Include precipas source term in 2D model
culebra in wipp pa
Culebra in WIPP PA
  • Created 1000 random base realizations (GSLIB)
    • Large-scale pumping tests
    • Culebra gypsum content
    • Fracture presence
    • Overburden thickness
  • Calibrated 100 realizations to observed data
    • Pumping tests
    • Freshwater head piezometric surface
  • Ensemble prediction for solute transport in PA
summary
Summary
  • Culebra Characterization historically focused on well testing
  • New focus on “data mining” existing and future high-frequency monitoring records
  • Use modeling to bring multiple scales of data together
conclusions
Conclusions
  • SNL testing Culebra at a range of scales @ WIPP
  • Working to incorporate all data in site PA flow model
  • Methodologies applicable to other sites
  • Far-field hydrology is always very visible to stakeholders and regulators