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2. Marcellus Shale Development and Impacts to Surface Water Quality: preliminary results and planned research from the Academy of Natural Sciences of Drexel University
3. Global energy mix
4. Many take the fossil fuel era and the wealth it has generated for granted.
Ephemeral nature of fossil fuel era.
What guided us into the era?
Why did this take place when and how it did?
What will guide us out of the fossil fuel era?Many take the fossil fuel era and the wealth it has generated for granted.
Ephemeral nature of fossil fuel era.
What guided us into the era?
Why did this take place when and how it did?
What will guide us out of the fossil fuel era?
8.
Impacts to Pennsylvania Ecosystems
Surface Disturbance and Land Use
Aquatic Resources and Development
Summary of the Pilot Study
Description of 2011 Surface Water Impact Study at ANS
11. April 2011 – approaching 3000 wells
Barnet peaked at 200 rigs, smaller geographical area
Development depends on leases – lease size can deturmine if greater spacing is an optionApril 2011 – approaching 3000 wells
Barnet peaked at 200 rigs, smaller geographical area
Development depends on leases – lease size can deturmine if greater spacing is an option
12. modeling approach known as maximum entropy (Maxent 3.3.3a,
Princeton University). Maximum entropy was used to find relationships between 1,461 existing and permitted well
pad locations and variables that might be relevant to a company’s decision to drill a Marcellus well. Such variables
were chosen based on data availability and included Marcellus Shale depth, thickness and thermal maturity as well
as percent slope, distance to pipelines, and distance to roads. The model produces a raster surface that represents
the probability of an area to potentially support future gas well development. An additional 487 existing and
permitted wells were used to test the validity of the model’s probability surface and the model was found to be
80% accurate in predicting existing and permitted wells from randomly sampled undeveloped areas.modeling approach known as maximum entropy (Maxent 3.3.3a,
Princeton University). Maximum entropy was used to find relationships between 1,461 existing and permitted well
pad locations and variables that might be relevant to a company’s decision to drill a Marcellus well. Such variables
were chosen based on data availability and included Marcellus Shale depth, thickness and thermal maturity as well
as percent slope, distance to pipelines, and distance to roads. The model produces a raster surface that represents
the probability of an area to potentially support future gas well development. An additional 487 existing and
permitted wells were used to test the validity of the model’s probability surface and the model was found to be
80% accurate in predicting existing and permitted wells from randomly sampled undeveloped areas.
13. 71% DCNR lands in Marcellus Fairway
71% DCNR lands in Marcellus Fairway
15. 1. Modeled well pads were not relocated if they occurred in old fields or agricultural fields.
2. Modeled well pads that occurred in forest or edge habitat were moved but well pads were placed in the
same general areas as the modeled well pad;
3. Attempts were made to avoid placing relocated well pads any closer that the minimum distance between
pads, as specified by the medium scenario (1260 m )
4. Agriculture, cleared land (e.g., former strip mines), or otherwise opened land cover was favored over
forest or edges for relocating well pads;
5. If the well pad could not be placed in an open area, forest edges were favored over deep interior forest;
6. Residential areas were avoided. Relocated well pads were placed at least 500 feet (150 m) from homes;
7. Wetlands, water, steep slopes, cliffs, rock outcrops, creeks and rivers, buildings and manicured lawns
were avoided;
8. Relocated well pads were only placed in areas with similar to those that supported modeled pads.
9. Relocated well pads often were connected to roads using existing trails, paths and openings whenever
detectable on aerial photo imagery (used Bing Maps and 2005-2006 PA Map imagery);
10. The same number of relocated well pads were placed on state lands and Western Pennsylvania
Conservancy lands as they were in the modeled output;
11. When the modeled well pad occurred within a forest patch with no nearby alternative locations (due to
proximity of other wells or environmental constraints), the projected well pad was not relocated
1. Modeled well pads were not relocated if they occurred in old fields or agricultural fields.
2. Modeled well pads that occurred in forest or edge habitat were moved but well pads were placed in the
same general areas as the modeled well pad;
3. Attempts were made to avoid placing relocated well pads any closer that the minimum distance between
pads, as specified by the medium scenario (1260 m )
4. Agriculture, cleared land (e.g., former strip mines), or otherwise opened land cover was favored over
forest or edges for relocating well pads;
5. If the well pad could not be placed in an open area, forest edges were favored over deep interior forest;
6. Residential areas were avoided. Relocated well pads were placed at least 500 feet (150 m) from homes;
7. Wetlands, water, steep slopes, cliffs, rock outcrops, creeks and rivers, buildings and manicured lawns
were avoided;
8. Relocated well pads were only placed in areas with similar to those that supported modeled pads.
9. Relocated well pads often were connected to roads using existing trails, paths and openings whenever
detectable on aerial photo imagery (used Bing Maps and 2005-2006 PA Map imagery);
10. The same number of relocated well pads were placed on state lands and Western Pennsylvania
Conservancy lands as they were in the modeled output;
11. When the modeled well pad occurred within a forest patch with no nearby alternative locations (due to
proximity of other wells or environmental constraints), the projected well pad was not relocated
17. Impacts Associated with Forest Development
Reduction in ecosystem services
water filtration and nutrient removal
erosion
carbon storage
air quality
tourism and recreation
Fragmentation
increased edge, invasives, deep forest sensitive species, migratory paths, biodiversity
The large numbers of trucks using small access roads will add to air and noise pollution and edge effects
Green salamander rareGreen salamander rare
18. Surface Water Impacts
19. Water Quality… So Far Focus on extreme events
Much anecdotal information
Largely human health, groundwater
Unclear whether these are usual, unusual or rare
Methane in groundwater
Not usually shale deposits, but from shallower deposits
Well casings to blame for some cases
Large Volume Spills and Fish Kills
Dunkard Creek SWPA: Mine waste + Marcellus imputs
Stevens Creek, Dimock, Susquehanna County
Brush Run, Hopewell, Washington County
Low Volume spills / non-news release
7.7% of wells shown to pollute surface waters (ANS)
Probability of spills is unknown
21. Frac Water and Water Quality
Flowback approximately 10-20% of input;
some recycled- reduces volume, increases concentrations. Most is either exported or treated and released in waterways
Fate and Transport:
Spills and leaks, probability uncertain
Well pad, blowouts, equipment failure
Leaks from retention ponds, tanks, and well heads
Lost in transport or illegally dumped
Questions about long term stability of closed wells
Treatment facilities accepting frac water are shown emitting high levels of pollutants in effluent water (see Volz C.D. 2011)
22. How common are surface spills?
Violation Data sheds some light
23. Inspections and Violations PA data currently on website
ANS Analyzed violation database, Jan. 2, 2007- Sept. 30, 2010; later data available
Summarized by type of violation
Pennsylvania Conservation Trust analyzed violation data
Shorter period (Jan. 1, 2008-Aug. 20, 2010)
Somewhat different breakdown of violation catagories
Similar results
24. Summary of Violations
25. Frac Water Impacts
Toxicity
Salts/ TDS
Exceed tolerances
Favor invasives (golden algae)
Ba, Sr, Br
Organics
Radioactivity (NORM)
Naturally-occurring radioactive material
Toxicity uncertain
Sensitive habitats/species
Marcellus overlaps brook trout habitat
26. Total number of wells inspected not available until 2011
2011 (Jan 1 to March 25)
1800 inspections of 1063 Marcellus wells
Reported 281 violations and 31 enforcements
Don’t know numbers of wells/violations at different stages (drilling, fracking, production)
Environmental impact of violations not always well described
Possible under-reporting, violations between inspections, etc.
Many violations may have been corrected
Numbers reflect cumulative total, not current number in violation
36. Correlations
37. 2011 Study at Patrick CenterProject Goals: Determine if the density of wells in a watershed influences stream ecosystem health and water quality (following a similar approach as the pilot study)
Determine the relationships among well density, stream size, stream ecosystem health, and water quality
Evaluate other metrics of natural gas development intensity (algorithms relating violations, density, distance from streams, operational history, etc.
Spatially model impacts across the study area
38. Study Design Whole basin assessment of stream reaches (120 meter long reach)
Study 52 stream reaches with a gradient of well density, but little variation in watershed conditions. One half of the study in heavily forested areas, other half in 50% forested areas.
Assess multiple indicators of water quality including diatoms and metal ions (Ba, Sr, Br – frac fingerprints)
Relate well/well pad density to indices of stream community health
39. Field Work and Analysis
40. Main project target
45. Conclusions/Summary No comprehensive data on surface water impacts
Research happing rapidly
Many effects depend on occurrences that wouldn’t happen (e.g., headwater disturbance, flowback water addition)
Difficult to predict
Violation data provide mixed view of compliance/completeness
Some effects inevitable in some form, but can be reduced
Land use
Frac water containment and disposal
Potential for major environmental benefits!
46. Thank You