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Lessons in Collaborative GIS: Geospatial and Temporal Analysis of Truck Traffic from Marcellus Shale Drilling Activity acr...
Marcellus Shale Drilling Activity in Pennsylvania<br />Year  	    Drilled Wells  	  Permits<br />2007	            43	     ...
What will be the Impact on our Roads?<br />
Phases of a Marcellus Shale Drilling Operation<br />1<br />3<br />Pad Construction <br />Hydraulic Fracturing<br />x10<br ...
Case Study: Bradford County<br />5-Year Average Traffic vs. 2010 Traffic Counts<br />Source:  Northern Tier Planning and D...
Operation FracNET<br />State Police Troop C260 inspections29 vehicles out of service111 citations issued<br />State Police...
Actual Impacts to Local and State Roadways<br />Increased Traffic Congestion <br />
Actual Impacts to Local and State Roadways<br />Roads Under-designed for Large Truck Use<br />
Actual Impacts to Local and State Roadways<br />Accelerated Damage to Driving Surfaces<br />
PennDOT Solution: New Requirements, Of Course<br />Operators now required to prepare General and Winter Roadway Maintenanc...
The REAL Problem…<br />Who is Responsible for Repairs when Multiple Companies Operate on the Same Roads?<br />
The Pennoni Solution: Collaborative GIS<br />Suddenly, Tracey and Damon get a new project…<br /><ul><li>Build a GIS framew...
System must be flexible:  Multiple operators, multiple Districts, may includes state and local roads.
Temporal, in addition to spatial, analysis required.</li></ul>.<br />Oh, and by the way….<br /><ul><li>The data is very no...
The data changes often – moving target
You’re not an expert in Marcellus Shale drilling procedures and protocols?  No worries, you will be soon…
One more thing… fours days to complete or else our client losestheir road bonds.</li></ul>.<br />
Lesson #1<br />Maintain a good sense of humor.  These challenges are the norm more often than the exception.<br />.<br /><...
Imperfect data that changes over time
Domain Knowledge Learning Curve
Client Expectations</li></ul>.<br />
The Pennoni Solution: Collaborative GIS<br />Well ID<br />Schedule ID<br />Activity ID<br />Join  results to base map<br /...
The Pennoni Solution: Collaborative GIS<br />Raw data becomes…<br />
Challenge: Inconsistent / Incomplete / Noisy Data<br /><ul><li>Format of incoming data, quality of data, and level of deta...
Big Surprise:  Drill operators do not generally think like GIS and database designers.</li></ul>.<br />
Lesson #2: Generalize and Simplify Data Model<br /><ul><li>Based on data received, our original data model was very complex.
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Lessons in Collaborative GIS: Geospatial and Temporal Analysis of Truck Traffic from Marcellus Shale Drilling Activity across Pennsylvania

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Over the past several years, the idea of large-scale drilling of the Marcellus Shale gas fields across Pennsylvania has met with both support from those who believe that it will be a long-term boom to the state and local economy and skepticism by those who recall the devastating effects of coal mining on the environment, during the last energy rush in this state. While this debate plays out on news media and the gas drillers work things out with the Department of Environmental Protection, a less publicized but equally important negotiation is also being played out between the gas drillers and the Pennsylvania Department of Transportation. The main issue is how to keep track of and fairly share the financial burden from gas drilling companies who could potentially cause widespread damage to Pennsylvania state roads, during the well development process. After all, the traffic volumes of heavy vehicles from these well sites is excessive and many competing oil companies use the same roads as they travel to and from shared quarries, concrete and asphalt plants, water sources, and waste disposal / treatment sites. Keeping track of such a massive amount of data, across multiple organizations, is a challenge indeed. Presenting this data so that accurate and sound decisions can be made is even more difficult. In order to address this issue, Pennoni Associates has been working with about a dozen Marcellus Shale gas drillers, several road construction contractors and five PennDOT District offices to collect mountains of data about anticipated drilling schedules, truck volumes and highway routing, for the purpose of generating temporal / geospatial analyses of cumulative truck traffic on state bonded roads. While we are still refining the data collection and analysis processes, we have been largely successful so far in creating a very flexible and collaborative GIS framework, which emphasizes cooperation across organizations and the idea of sharing resources to meet common goals. Although the project was orchestrated on a state-wide level, the concepts are equally applicable to local communities and there are a number of lessons that can be taken from our experiences. This presentation offers both insight about these lessons learned and an overview of the methodology and results of the ongoing project.

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Lessons in Collaborative GIS: Geospatial and Temporal Analysis of Truck Traffic from Marcellus Shale Drilling Activity across Pennsylvania

  1. 1.
  2. 2. Lessons in Collaborative GIS: Geospatial and Temporal Analysis of Truck Traffic from Marcellus Shale Drilling Activity across Pennsylvania<br />Tracey Olexa, CPSS EIT<br />M. Damon Weiss, P.E. <br />
  3. 3. Marcellus Shale Drilling Activity in Pennsylvania<br />Year Drilled Wells Permits<br />2007 43 99<br />2008 205 519<br />2009 729 1985<br />2010 950 2108<br />2020 30,000 30,000+ <br />
  4. 4. What will be the Impact on our Roads?<br />
  5. 5. Phases of a Marcellus Shale Drilling Operation<br />1<br />3<br />Pad Construction <br />Hydraulic Fracturing<br />x10<br />x100<br />2<br />Drilling<br />Flowback & Production<br />4<br />x10<br />x10<br />
  6. 6. Case Study: Bradford County<br />5-Year Average Traffic vs. 2010 Traffic Counts<br />Source: Northern Tier Planning and Development Commission <br />
  7. 7. Operation FracNET<br />State Police Troop C260 inspections29 vehicles out of service111 citations issued<br />State Police Troop F239 vehicles inspected33 vehicles placed out of service205 citations issued<br />State Police Troop P166 inspections66 vehicles placed out of service358 citations issued<br />State Police Troop R142 inspections25 vehicles placedout of service141 citations.<br />State Police Troop B227 inspections57 vehicles placed out of service241 citations issued<br />
  8. 8. Actual Impacts to Local and State Roadways<br />Increased Traffic Congestion <br />
  9. 9. Actual Impacts to Local and State Roadways<br />Roads Under-designed for Large Truck Use<br />
  10. 10. Actual Impacts to Local and State Roadways<br />Accelerated Damage to Driving Surfaces<br />
  11. 11. PennDOT Solution: New Requirements, Of Course<br />Operators now required to prepare General and Winter Roadway Maintenance Plans<br />Plans must include:<br />Detailed Schedule of Proposed Activities<br />Estimates of Truck Volumes on Bonded Roads<br />Operators who fail to provide this information risk losing their road bonds.<br />
  12. 12. The REAL Problem…<br />Who is Responsible for Repairs when Multiple Companies Operate on the Same Roads?<br />
  13. 13. The Pennoni Solution: Collaborative GIS<br />Suddenly, Tracey and Damon get a new project…<br /><ul><li>Build a GIS framework for calculating truck volumes on bonded state routes during Marcellus Shale drilling activities.
  14. 14. System must be flexible: Multiple operators, multiple Districts, may includes state and local roads.
  15. 15. Temporal, in addition to spatial, analysis required.</li></ul>.<br />Oh, and by the way….<br /><ul><li>The data is very noisy, sometimes incomplete
  16. 16. The data changes often – moving target
  17. 17. You’re not an expert in Marcellus Shale drilling procedures and protocols? No worries, you will be soon…
  18. 18. One more thing… fours days to complete or else our client losestheir road bonds.</li></ul>.<br />
  19. 19. Lesson #1<br />Maintain a good sense of humor. These challenges are the norm more often than the exception.<br />.<br /><ul><li>Noisy, incomplete data
  20. 20. Imperfect data that changes over time
  21. 21. Domain Knowledge Learning Curve
  22. 22. Client Expectations</li></ul>.<br />
  23. 23. The Pennoni Solution: Collaborative GIS<br />Well ID<br />Schedule ID<br />Activity ID<br />Join results to base map<br />Microsoft Access<br />Export results<br />Pennoni staff reviews and normalizes data<br />Documents, spreadsheets, emails, phone calls, etc, from clients<br />
  24. 24. The Pennoni Solution: Collaborative GIS<br />Raw data becomes…<br />
  25. 25. Challenge: Inconsistent / Incomplete / Noisy Data<br /><ul><li>Format of incoming data, quality of data, and level of details varied considerably from one company to the next.
  26. 26. Big Surprise: Drill operators do not generally think like GIS and database designers.</li></ul>.<br />
  27. 27. Lesson #2: Generalize and Simplify Data Model<br /><ul><li>Based on data received, our original data model was very complex.
  28. 28. By inspecting the problem, however, we realized that important generalities exist in our data.
  29. 29. This simplified our problem considerably!</li></ul>.<br />
  30. 30. Lesson #3: Standardize Data Collection<br /><ul><li>To address data quality, Pennoni created a series of simple Excel spreadsheets which guide the operators to provide data in a more standard format.
  31. 31. Not a perfect solution. Expect resistance.
  32. 32. Also, we are exploring the idea of a web interface, where operators can manage their own data. This would make it truly a collaborative GIS system.</li></ul>.<br />
  33. 33. Challenge #2: Data Changes Frequently<br /><ul><li>Drilling industry is defined by its fast pace and continual refinement of schedules and activities
  34. 34. These changes affect productivity in ways that are often difficult for the client to understand.
  35. 35. They can be frustrating for us as well. See Lesson #1: Maintain Sense of Humor.</li></ul>.<br />
  36. 36. Lesson #4: Learn to Automate Repetitive Tasks<br />We save a lot of time by automated two particularly repetitive tasks:<br /><ul><li>Querying arbitrary dates
  37. 37. Creating new routes</li></ul>… But we had to be selective when we used these tools.<br />
  38. 38. Challenge: Acquiring Domain Knowledge<br /><ul><li>GIS has application in a myriad of industries, including Gas and Oil.
  39. 39. Chances are if you’re an GIS expert, you’re probably not an expert in these other industries.
  40. 40. So, how do you obtain the domain knowledge needed to design a good GIS system?</li></li></ul><li>Lesson #5: Actively Involve Your Client<br /><ul><li>Meetings
  41. 41. Phone Calls
  42. 42. Emails
  43. 43. Visit their workplace
  44. 44. Work to understand their processes
  45. 45. Help them understand your processes as well.</li></li></ul><li>Lesson #6: Promote and Market Collaborative GIS<br />PennDOT would not allocate expenses between gas companies.<br />So, Pennoni hosted a meet-and-greet to encourage collaboration<br />
  46. 46. Collaborative GIS = Shared Resources<br />GIS can stimulate discussions for determining cost-effective solutions to traffic and resource challenges<br />Shared cost for roadway monitoring, roadway repair, water treatment, reuse and distribution <br />Shared Pipes and Ponds<br />
  47. 47. Lesson Learned<br />1.<br />Maintain a Good<br />Sense of Humor<br />Generalize and<br />Simplify Data Model<br />Standardize Data<br />Collection<br />Automate Repetitive Tasks<br />Actively Involve Your Clients<br />Promote and Market Collaborative GIS<br />.<br />2.<br />3.<br />4.<br />5.<br />6.<br />
  48. 48. Thank You<br />Are there any questions?<br />

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