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Additional Road Investments
      Needed to Support Oil & Gas
      Production and Distribution in
              North Dakota

Upper Great Plains Transportation Institute
      North Dakota State University
Presentation Topics
 Overview of study and results
 Details of Analysis
 Details of paved road analysis
     Types   of improvements, costs, and effects
   Details of unpaved road analysis
     Types   of improvements and analysis methods
   Conclusions and discussion

                                                     2
Study Overview
   Purpose:
     Forecast road investment needs in oil and gas
      producing counties of North Dakota over the
      next 20 years
   Objective:
     Quantify   the additional investments necessary
      for efficient year-round transportation for the
      oil industry while providing travelers with
      acceptable roadway service

                                                    3
Study Overview
   Scope: The focus is on roads owned or
    maintained by local governments – e.g.
    counties and townships.
   Study Area: 17 oil and gas producing
    counties
     Counties include: Billings, Bottineau, Bowman,
      Burke, Divide, Dunn, Golden Valley, McHenry,
      McKenzie, Mclean, Mercer, Mountrail, Renville,
      Slope, Stark, Ward, and Williams
                                                       4
Primary Data Sources
 Analysis based on: oil production
  forecasts, traffic data, county road surveys
 Types of roads analyzed: paved, graveled,
  and graded & drained
 2010 survey→ information on impacted
  routes and conditions
 2008 survey→ information on typical road
  characteristics
                                             5
Production Forecasting
   Oil &Gas Division of North Dakota
    Industrial Commission
     Existing and near-term drilling locations
     Based upon current rig activity and permit
      applications through end of 2010
   Future locations of rigs estimated from
    lease data from North Dakota Land
    Department
                                                   6
Drilling Phases
   Initial phase: lease expirations 2010-2015
     Assume   drilling begins in final year of lease
 Fill-in phase: 3-5 additional wells placed
 Private leases will occur in same areas as
  public leases
 21,250 wells drilled in next 10-20 years
 Assume 1,500/year→14 years to drill
  21,250 wells
                                                    7
Traffic Prediction Model
   Forecasted output of wells is routed over
    road network using detailed GIS model
   Oil movements converted to equivalent
    truck trips following least-cost routes
   Projected inputs (e.g., sand and water) and
    outbound movements (salt water) similarly
    routed
   Movements of specialized equipment (such
    as workover rigs) included
                                              8
Road Investment Analysis
 Predicted inbound and outbound
  movements accumulated for each
  impacted segment
 Oil-related trips combined with baseline
  (non-oil) traffic to estimate total traffic load
  on each road
 Economic/engineering methods used to
  estimate additional investment needs
                                                     9
Field Data: Traffic Counts
   Counters deployed at 100 locations
   Raw data adjusted
     To represent traffic for 24-hour period
       Monthly variation
   ADT=145; Trucks=61 (26 multi-units)
   Paved roads ≈ 100 trucks/day
   Data used to calibrate trip model and
    estimate baseline traffic loads
                                                10
Estimated Investment Needs
2012-2013 -- 2030-2031 (Millions)

Unpaved Roads             $567.00
Paved Roads               $340.10
All Roads                 $907.10
3% Inflation            $1,099.30
5% Inflation            $1,266.57
                                11
Investment Needs by Biennium
          (Millions)
Biennium    Unpaved    Paved    Total
2012-2013   $114.90   $118.20 $233.10
2014-2015   $114.90 $149.90 $264.80
2016-2017    $75.90   $17.00   $92.90
2018-2019    $36.90   $20.70   $57.60
                                    12
Details of Analysis

 DataCollection
 Network Flow Modeling
 Unpaved Analysis
 Paved Analysis




                               13
Data Collection
   Roadway Data
     Traffic Classification
     Traffic Counts
     Condition Data
   Cost and Practices Data
   Oil Development Data
     Number and Locations of        Wells
     Inputs to Production
         Origins and Destinations

     Production Output
         Origins and Destinations



                                             14
Roadway Data
   Traffic Classification
     Maps   sent to county point person with instructions to
      classify roadways by traffic levels
     Used to identify potential sample traffic count sites
   Traffic Counts
     Selected   using the classification data provided by the
      county point people
     Used to calibrate the GIS network routing model and
      to verify vehicle classification
     Photos were taken of many of the road segments
      where counters were placed, and used to verify
      surface type and condition data

                                                                15
Cost and Practices Data
   Survey of County Contacts
     Component   costs - Unpaved
       Gravel
       Blading

       Location

       Delivery

       Placement

       Dust suppressant

       Paving costs

                                    16
Cost and Practices Data
   Survey of County Contacts
     Maintenance   Practices
       Gravel Overlay Interval
       Gravel Overlay Thickness

       Blading Interval

       Dust Suppressant Usage




                                   17
Cost and Practices Data
   County Level Cost Calculations
     Due   to the variations in reported costs and
      practices, unpaved costs were calculated at
      the county level
     Reflects actual practices and actual costs at
      the time of the analysis




                                                      18
Roadway Data
   Condition Data
     Maps   were sent to the county point person
      with instructions to classify roadways by
      surface condition
     Specific classification instructions were given,
      per the South Dakota Pavement Condition
      Survey Guide
     692 miles listed as either poor or very poor
      condition

                                                     19
Oil Development Data
   Numbers and Locations of Wells
     Initial
           rig and well locations obtained from
      NDIC Oil & Gas Division website
     Forecasted locations estimated from ND Land
      Department GIS shapefiles of public land
      leases
        Leases for public lands only
        Private land development assumed to be in the
         same geographic region as the public leases
        Buffer public lands to estimate development areas
         on private land
                                                         20
Oil Development Data
 Forecasted
           locations estimated from ND Land
 Department GIS shapefiles of public land leases
     ND Land Department data has lease expiration dates
     Assumption that drilling will occur in the final year of the
      lease, and is a single well
     Oil & Gas estimates 1,450-2,940 wells/year – 2,140
      expected, 21,250 in 10 to 20 years
     Lease expirations available through 2015
     Post 2015 – filling in phase of drilling
          4-6 additional wells on the site



                                                                21
Oil Development Data
   Inputs
     Data  collected from Oil & Gas, NDDOT, and
      industry representatives
     The goal was to quantify the number and type
      of truck trips that the well drilling process
      generates
     The major trip generators were water,
      equipment and sand

                                                  22
Bakken Well Inputs
Table 1. Rig Related Movements Per Well
Item                            Number of Trucks   Inbound or Outbound
Sand                                    80               Inbound
Water (Fresh)                         400                Inbound
Water (Waste)                         200               Outbound
Frac Tanks                            100                  Both
Rig Equipment                           50                 Both
Drilling Mud                            50               Inbound
Chemical                                 4               Inbound
Cement                                  15               Inbound
Pipe                                    10               Inbound
Scoria/Gravel                           80               Inbound
Fuel trucks                              7               Inbound
Frac/cement pumper trucks               15                 Both
Workover rigs                            1                 Both
Total - One Direction                1,012
Total Trucks                         2,024
                                                                         23
Oil Development Data
   Outputs
     Production      (Oil & Gas)
        County average IP rates
        Production curve and pipeline access

        Saltwater production

     Oil   collection/transload sites (Oil & Gas)
          Current list of operating oil collection points
     Saltwater     Disposal Sites (Oil & Gas)
          Current list of operating SWD sites
                                                             24
Network Flow Modeling
   Origins and Destinations
     OD Pairs
        Sand – Rig
        Freshwater –Rig
        Rig – Rig (Equipment)
        Supplies (chemical, pipe, cement, fuel, etc.) – Rig
        Rig - SWD
        Rig – Collection Point

     Assignment of Pairs
        Closest destination chosen
        Routing is based on the least cost path between origin and
         destination


                                                                      25
Network Flow Modeling
   Scenarios
     Baseline   – Summer 2010
       June Oil Sales
       Existing Well and Rig Locations

       Network Development and Refinement




                                             26
Network Flow Modeling
   Forecast Flows
     2011,2012, 2013, 2014, 2015, 2016-2020,
      2021-2025, 2026-2030
         Associated Volumes
            Inputs (Water, Sand, Equipment, etc.)
            Output (Oil and SWD)

     Model    Forecasted Traffic Movements
         Generate Volume Estimates for Individual
          Roadway Segments

                                                     27
Unpaved Road Analysis
 Estimation of the additional maintenance
  and improvement activities due to oil
  development
 Impacted Miles: 11,834 gravel, 884
  graded & drained




                                             28
Table 23. Miles of Unpaved Road Impacted by Oil-Related
Traffic
County
           Unpaved Roads   Gravel*        Graded & Drained
Billings                     560                    28
Bottineau                    924                   113
Bowman                       230                    42
Burke                        912                   106
Divide                     1,076                    63
Dunn                         968                   105
Golden Valley                413                    40
McHenry                      335                    24
McKenzie                   1,046                    69
McLean                       451                    34
Mercer                        36                      1
Mountrail                  1,294                    71
Renville                     677                    21
Slope                         97                      5
Stark                        737                    48
Ward                         633                    48
Williams                   1,444                    65
Total                     11,834                   884
                                                             29
Unpaved Roads
   Impacted means that at least one oil related
    truck was routed over the section in the network
    flow model
       Impacts and needs vary by traffic levels
   Impact Classification
     Low:  0-25 (10,930 miles)
     Elevated: 25-50 (1,094 miles)
     Moderate: 50-100 (409 miles)
     High: 100+ (284 miles)
                                                   30
Unpaved Roads
   Improvement Types
     Graded    and Drained
         Low: No additional improvements
         Elevated: Maintenance increase
         Moderate: Upgrade to gravel roadway (reconstruct)
         High: Upgrade to gravel roadway (reconstruct)
     Roadway     Width
         Initial condition of graded and drained roads are often
          deficient with respect to roadway width
         Reconstruction includes regrading the road, and
          addition of width to a minimum of 24 feet with gravel
          overlay


                                                                    31
Unpaved Roads
   Improvement Types
     Gravel
          Low: Decrease blading interval
          Elevated: Decrease gravel interval by 33% (3-4 years)
          Moderate: Decrease gravel interval by 50% (2-3 years)
          High: Upgrade to double chip seal surface
     Additional    Enhancements/Improvements
          Dust Suppressant
          Reconstruction to eliminate deficiencies – roadway
           width and structural deficiencies



                                                                32
Unpaved Roads
   Chip Seal Improvement
     Single   Chip Seal
       Constructed from a single application of binder
        followed by a single application of uniformly
        graded aggregate
       Selected for normal situations where no special
        considerations would indicate that a special type of
        chip seal is warranted




                             Source: TRB: Chip Seal Best Practices
                                                                     33
Unpaved Roads
   Chip Seal Improvement
     Double    Chip Seal
          Constructed from two consecutive applications of both the
           bituminous binder followed by a single application of
           uniformly graded aggregate
          Double chip seals have less noise from traffic, provide
           additional waterproofing, and a more robust seal in
           comparison with a single chip seal
          Used in high stress situations, such as areas that have a high
           percentage of truck traffic or steep grades




                                     Source: TRB: Chip Seal Best Practices   34
Table 23. Projected Additional Needs by County ($2010 million)
County                     Gravel          Graded & Drained
Billings                    $18.30               $0.30
Bottineau                   $6.60                $0.00
Bowman                      $2.10                $0.00
Burke                       $17.10               $0.80
Divide                      $47.90               $0.40
Dunn                        $75.60               $5.40
Golden Valley               $22.70               $0.30
McHenry                     $3.30                $0.10
McKenzie                    $81.70               $4.40
McLean                      $21.10               $1.10
Mercer                      $0.80                $0.00
Mountrail                   $76.10               $0.90
Renville                    $11.10               $0.60
Slope                       $2.50                $0.30
Stark                       $35.70               $0.90
Ward                        $29.30               $0.70
Williams                    $97.20               $1.90
Total                      $548.90              $18.10

                                                                 35
Table S.3 Additional Unpaved Road Costs by County: 2012-2015 ($ 2010 Million)

                                                  2012-2013      2014-2015
County              2012-2013       2014-2015    Reconstruction Reconstruction
Billings                 $3.9            $3.9          $2.5           $2.5
Bottineau                $0.8            $0.8          $0.3           $0.3
Bowman                   $0.5            $0.5          $0.3           $0.3
Burke                    $3.2            $3.2          $1.8           $1.8
Divide                   $9.4            $9.4          $6.0           $6.0
Dunn                    $17.3           $17.3         $11.8          $11.8
Golden Valley            $4.3            $4.3          $2.9           $2.9
McHenry                  $0.1            $0.1          $0.0           $0.0
McKenzie                $18.2           $18.2         $11.6          $11.6
McLean                   $4.0            $4.0          $2.9           $2.9
Mercer                   $0.2            $0.2          $0.1           $0.1
Mountrail               $15.9           $15.9         $10.1          $10.1
Renville                 $1.9            $1.9          $1.1           $1.1
Slope                    $0.6            $0.6          $0.5           $0.5
Stark                    $8.1            $8.1          $5.7           $5.7
Ward                     $6.2            $6.2          $5.0           $5.0
Williams                $20.2           $20.2         $13.6          $13.6
Total                  $114.9          $114.9         $76.3          $76.3
                                                                                36
Key Factors: Paved Road Analysis
 Thickness of aggregate base and asphalt
  surface layers
 Condition (extent of deterioration)
 Graded width
 Soil support (spring load restrictions)
 Truck weights and axle configurations
 Volume of oil-related traffic and other
  trucks
                                            37
Paved Road Thickness (Inches)

             Layers          Mean      Minimum
CMC          Base             5.3         2.0
             Surface          4.4         2.5
Local        Base             4.5         2.0
             Surface          3.5         1.5
Medium-design: 4" AC, 8" Aggregate Base, 8" Subbase
                                                 38
Paved Road Conditions
   68 miles in poor or very poor condition
     Experiencing heavy oil-related traffic
     Cannot be cost-effectively resurfaced
     Must be reconstructed

   334 miles in fair condition
     Expected    to deteriorate rapidly under heavy
      truck traffic
     Reduced service lives

                                                       39
Spring Load Restrictions

 Relative damage from load may increase
  by 400%
 > 80% of miles are subject to 6- or 7-ton
  load restrictions or 65,000-lb gross weight
     Reduced   payloads for trucks
 Ideally, the most heavily traveled oil routes
  should be free from seasonal restrictions
 Reconstruction only guaranteed solution
                                              40
Graded Roadway Width
 Determines if thick overlays are feasible
  without narrowing lanes and shoulders
 ≈ 50% of county roads ≤ 28 ft wide
 Narrower roads affect roadway capacity
  (e.g., vehicles per hour) as well as safety
     Predicted crash rate for a two-lane road with
     11-ft lanes and 2-ft shoulders is 1.38 x crash
     rate with 12-ft lanes and 6-ft shoulders
                                                  41
Reduced Road Service Lives
 Using AASHTO design equations, the
  service life of each impacted road is
  projected with and without oil traffic
 The average reduction in life is five years
 Williams, McKenzie, and Mountrail
  Counties have the most predicted miles
  with reduced service lives

                                                42
Type of Road Improvements
   Reconstruction: $1.25 million per mile
     Eliminatespring restrictions
     Standard lanes with shoulders
     Improved base-surface thickness ratio

 Structural overlay: $300,000 per mile
 Base-case: thin overlay
 Renewal costs: $8.90 per front-haul truck
  mile
                                              43
Annual Road Maintenance
 Maintenance includes two optimally-timed
  seal coats, crack sealing, patching,
  striping, etc.
 Increases by 50% when traffic increases
  from low to medium levels
 Increases by 35% when traffic increases
  from medium to high levels
 Excludes administrative overhead
                                         44
Additional Paved Road Funding
      Needs (Million $2010)

Improvement Type       Miles    Needs
Maintenance            958.4    $41.60
Overlay                249.4    $39.80
Reconstruction         225.6   $256.10
Renewal                483.4     $1.30
All Types          .           $338.90
                                     45
Estimated Investment Needs
2012-2013 -- 2030-2031 (Millions)

Unpaved Roads             $567.00
Paved Roads               $340.10
All Roads                 $907.10
3% Inflation            $1,099.30
5% Inflation            $1,266.57
                                46
Conclusion and Discussion
   Estimates for oil-impacted roads only
   Needs in addition to other road needs
   Investments will provide improved service for
    all road users; benefits include:
     Year-round  legal loads on key paved roads
     Wider safer roads with more capacity
     Reduced transportation cost
     Lower life-cycle costs (incl. road user cost)

                                                      47

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Additional Road Investments Needed to Support Oil & Gas Production and Distribution in North Dakota

  • 1. Additional Road Investments Needed to Support Oil & Gas Production and Distribution in North Dakota Upper Great Plains Transportation Institute North Dakota State University
  • 2. Presentation Topics  Overview of study and results  Details of Analysis  Details of paved road analysis  Types of improvements, costs, and effects  Details of unpaved road analysis  Types of improvements and analysis methods  Conclusions and discussion 2
  • 3. Study Overview  Purpose:  Forecast road investment needs in oil and gas producing counties of North Dakota over the next 20 years  Objective:  Quantify the additional investments necessary for efficient year-round transportation for the oil industry while providing travelers with acceptable roadway service 3
  • 4. Study Overview  Scope: The focus is on roads owned or maintained by local governments – e.g. counties and townships.  Study Area: 17 oil and gas producing counties  Counties include: Billings, Bottineau, Bowman, Burke, Divide, Dunn, Golden Valley, McHenry, McKenzie, Mclean, Mercer, Mountrail, Renville, Slope, Stark, Ward, and Williams 4
  • 5. Primary Data Sources  Analysis based on: oil production forecasts, traffic data, county road surveys  Types of roads analyzed: paved, graveled, and graded & drained  2010 survey→ information on impacted routes and conditions  2008 survey→ information on typical road characteristics 5
  • 6. Production Forecasting  Oil &Gas Division of North Dakota Industrial Commission  Existing and near-term drilling locations  Based upon current rig activity and permit applications through end of 2010  Future locations of rigs estimated from lease data from North Dakota Land Department 6
  • 7. Drilling Phases  Initial phase: lease expirations 2010-2015  Assume drilling begins in final year of lease  Fill-in phase: 3-5 additional wells placed  Private leases will occur in same areas as public leases  21,250 wells drilled in next 10-20 years  Assume 1,500/year→14 years to drill 21,250 wells 7
  • 8. Traffic Prediction Model  Forecasted output of wells is routed over road network using detailed GIS model  Oil movements converted to equivalent truck trips following least-cost routes  Projected inputs (e.g., sand and water) and outbound movements (salt water) similarly routed  Movements of specialized equipment (such as workover rigs) included 8
  • 9. Road Investment Analysis  Predicted inbound and outbound movements accumulated for each impacted segment  Oil-related trips combined with baseline (non-oil) traffic to estimate total traffic load on each road  Economic/engineering methods used to estimate additional investment needs 9
  • 10. Field Data: Traffic Counts  Counters deployed at 100 locations  Raw data adjusted  To represent traffic for 24-hour period  Monthly variation  ADT=145; Trucks=61 (26 multi-units)  Paved roads ≈ 100 trucks/day  Data used to calibrate trip model and estimate baseline traffic loads 10
  • 11. Estimated Investment Needs 2012-2013 -- 2030-2031 (Millions) Unpaved Roads $567.00 Paved Roads $340.10 All Roads $907.10 3% Inflation $1,099.30 5% Inflation $1,266.57 11
  • 12. Investment Needs by Biennium (Millions) Biennium Unpaved Paved Total 2012-2013 $114.90 $118.20 $233.10 2014-2015 $114.90 $149.90 $264.80 2016-2017 $75.90 $17.00 $92.90 2018-2019 $36.90 $20.70 $57.60 12
  • 13. Details of Analysis  DataCollection  Network Flow Modeling  Unpaved Analysis  Paved Analysis 13
  • 14. Data Collection  Roadway Data  Traffic Classification  Traffic Counts  Condition Data  Cost and Practices Data  Oil Development Data  Number and Locations of Wells  Inputs to Production  Origins and Destinations  Production Output  Origins and Destinations 14
  • 15. Roadway Data  Traffic Classification  Maps sent to county point person with instructions to classify roadways by traffic levels  Used to identify potential sample traffic count sites  Traffic Counts  Selected using the classification data provided by the county point people  Used to calibrate the GIS network routing model and to verify vehicle classification  Photos were taken of many of the road segments where counters were placed, and used to verify surface type and condition data 15
  • 16. Cost and Practices Data  Survey of County Contacts  Component costs - Unpaved  Gravel  Blading  Location  Delivery  Placement  Dust suppressant  Paving costs 16
  • 17. Cost and Practices Data  Survey of County Contacts  Maintenance Practices  Gravel Overlay Interval  Gravel Overlay Thickness  Blading Interval  Dust Suppressant Usage 17
  • 18. Cost and Practices Data  County Level Cost Calculations  Due to the variations in reported costs and practices, unpaved costs were calculated at the county level  Reflects actual practices and actual costs at the time of the analysis 18
  • 19. Roadway Data  Condition Data  Maps were sent to the county point person with instructions to classify roadways by surface condition  Specific classification instructions were given, per the South Dakota Pavement Condition Survey Guide  692 miles listed as either poor or very poor condition 19
  • 20. Oil Development Data  Numbers and Locations of Wells  Initial rig and well locations obtained from NDIC Oil & Gas Division website  Forecasted locations estimated from ND Land Department GIS shapefiles of public land leases  Leases for public lands only  Private land development assumed to be in the same geographic region as the public leases  Buffer public lands to estimate development areas on private land 20
  • 21. Oil Development Data  Forecasted locations estimated from ND Land Department GIS shapefiles of public land leases  ND Land Department data has lease expiration dates  Assumption that drilling will occur in the final year of the lease, and is a single well  Oil & Gas estimates 1,450-2,940 wells/year – 2,140 expected, 21,250 in 10 to 20 years  Lease expirations available through 2015  Post 2015 – filling in phase of drilling  4-6 additional wells on the site 21
  • 22. Oil Development Data  Inputs  Data collected from Oil & Gas, NDDOT, and industry representatives  The goal was to quantify the number and type of truck trips that the well drilling process generates  The major trip generators were water, equipment and sand 22
  • 23. Bakken Well Inputs Table 1. Rig Related Movements Per Well Item Number of Trucks Inbound or Outbound Sand 80 Inbound Water (Fresh) 400 Inbound Water (Waste) 200 Outbound Frac Tanks 100 Both Rig Equipment 50 Both Drilling Mud 50 Inbound Chemical 4 Inbound Cement 15 Inbound Pipe 10 Inbound Scoria/Gravel 80 Inbound Fuel trucks 7 Inbound Frac/cement pumper trucks 15 Both Workover rigs 1 Both Total - One Direction 1,012 Total Trucks 2,024 23
  • 24. Oil Development Data  Outputs  Production (Oil & Gas)  County average IP rates  Production curve and pipeline access  Saltwater production  Oil collection/transload sites (Oil & Gas)  Current list of operating oil collection points  Saltwater Disposal Sites (Oil & Gas)  Current list of operating SWD sites 24
  • 25. Network Flow Modeling  Origins and Destinations  OD Pairs  Sand – Rig  Freshwater –Rig  Rig – Rig (Equipment)  Supplies (chemical, pipe, cement, fuel, etc.) – Rig  Rig - SWD  Rig – Collection Point  Assignment of Pairs  Closest destination chosen  Routing is based on the least cost path between origin and destination 25
  • 26. Network Flow Modeling  Scenarios  Baseline – Summer 2010  June Oil Sales  Existing Well and Rig Locations  Network Development and Refinement 26
  • 27. Network Flow Modeling  Forecast Flows  2011,2012, 2013, 2014, 2015, 2016-2020, 2021-2025, 2026-2030  Associated Volumes  Inputs (Water, Sand, Equipment, etc.)  Output (Oil and SWD)  Model Forecasted Traffic Movements  Generate Volume Estimates for Individual Roadway Segments 27
  • 28. Unpaved Road Analysis  Estimation of the additional maintenance and improvement activities due to oil development  Impacted Miles: 11,834 gravel, 884 graded & drained 28
  • 29. Table 23. Miles of Unpaved Road Impacted by Oil-Related Traffic County Unpaved Roads Gravel* Graded & Drained Billings 560 28 Bottineau 924 113 Bowman 230 42 Burke 912 106 Divide 1,076 63 Dunn 968 105 Golden Valley 413 40 McHenry 335 24 McKenzie 1,046 69 McLean 451 34 Mercer 36 1 Mountrail 1,294 71 Renville 677 21 Slope 97 5 Stark 737 48 Ward 633 48 Williams 1,444 65 Total 11,834 884 29
  • 30. Unpaved Roads  Impacted means that at least one oil related truck was routed over the section in the network flow model  Impacts and needs vary by traffic levels  Impact Classification  Low: 0-25 (10,930 miles)  Elevated: 25-50 (1,094 miles)  Moderate: 50-100 (409 miles)  High: 100+ (284 miles) 30
  • 31. Unpaved Roads  Improvement Types  Graded and Drained  Low: No additional improvements  Elevated: Maintenance increase  Moderate: Upgrade to gravel roadway (reconstruct)  High: Upgrade to gravel roadway (reconstruct)  Roadway Width  Initial condition of graded and drained roads are often deficient with respect to roadway width  Reconstruction includes regrading the road, and addition of width to a minimum of 24 feet with gravel overlay 31
  • 32. Unpaved Roads  Improvement Types  Gravel  Low: Decrease blading interval  Elevated: Decrease gravel interval by 33% (3-4 years)  Moderate: Decrease gravel interval by 50% (2-3 years)  High: Upgrade to double chip seal surface  Additional Enhancements/Improvements  Dust Suppressant  Reconstruction to eliminate deficiencies – roadway width and structural deficiencies 32
  • 33. Unpaved Roads  Chip Seal Improvement  Single Chip Seal  Constructed from a single application of binder followed by a single application of uniformly graded aggregate  Selected for normal situations where no special considerations would indicate that a special type of chip seal is warranted Source: TRB: Chip Seal Best Practices 33
  • 34. Unpaved Roads  Chip Seal Improvement  Double Chip Seal  Constructed from two consecutive applications of both the bituminous binder followed by a single application of uniformly graded aggregate  Double chip seals have less noise from traffic, provide additional waterproofing, and a more robust seal in comparison with a single chip seal  Used in high stress situations, such as areas that have a high percentage of truck traffic or steep grades Source: TRB: Chip Seal Best Practices 34
  • 35. Table 23. Projected Additional Needs by County ($2010 million) County Gravel Graded & Drained Billings $18.30 $0.30 Bottineau $6.60 $0.00 Bowman $2.10 $0.00 Burke $17.10 $0.80 Divide $47.90 $0.40 Dunn $75.60 $5.40 Golden Valley $22.70 $0.30 McHenry $3.30 $0.10 McKenzie $81.70 $4.40 McLean $21.10 $1.10 Mercer $0.80 $0.00 Mountrail $76.10 $0.90 Renville $11.10 $0.60 Slope $2.50 $0.30 Stark $35.70 $0.90 Ward $29.30 $0.70 Williams $97.20 $1.90 Total $548.90 $18.10 35
  • 36. Table S.3 Additional Unpaved Road Costs by County: 2012-2015 ($ 2010 Million) 2012-2013 2014-2015 County 2012-2013 2014-2015 Reconstruction Reconstruction Billings $3.9 $3.9 $2.5 $2.5 Bottineau $0.8 $0.8 $0.3 $0.3 Bowman $0.5 $0.5 $0.3 $0.3 Burke $3.2 $3.2 $1.8 $1.8 Divide $9.4 $9.4 $6.0 $6.0 Dunn $17.3 $17.3 $11.8 $11.8 Golden Valley $4.3 $4.3 $2.9 $2.9 McHenry $0.1 $0.1 $0.0 $0.0 McKenzie $18.2 $18.2 $11.6 $11.6 McLean $4.0 $4.0 $2.9 $2.9 Mercer $0.2 $0.2 $0.1 $0.1 Mountrail $15.9 $15.9 $10.1 $10.1 Renville $1.9 $1.9 $1.1 $1.1 Slope $0.6 $0.6 $0.5 $0.5 Stark $8.1 $8.1 $5.7 $5.7 Ward $6.2 $6.2 $5.0 $5.0 Williams $20.2 $20.2 $13.6 $13.6 Total $114.9 $114.9 $76.3 $76.3 36
  • 37. Key Factors: Paved Road Analysis  Thickness of aggregate base and asphalt surface layers  Condition (extent of deterioration)  Graded width  Soil support (spring load restrictions)  Truck weights and axle configurations  Volume of oil-related traffic and other trucks 37
  • 38. Paved Road Thickness (Inches) Layers Mean Minimum CMC Base 5.3 2.0 Surface 4.4 2.5 Local Base 4.5 2.0 Surface 3.5 1.5 Medium-design: 4" AC, 8" Aggregate Base, 8" Subbase 38
  • 39. Paved Road Conditions  68 miles in poor or very poor condition  Experiencing heavy oil-related traffic  Cannot be cost-effectively resurfaced  Must be reconstructed  334 miles in fair condition  Expected to deteriorate rapidly under heavy truck traffic  Reduced service lives 39
  • 40. Spring Load Restrictions  Relative damage from load may increase by 400%  > 80% of miles are subject to 6- or 7-ton load restrictions or 65,000-lb gross weight  Reduced payloads for trucks  Ideally, the most heavily traveled oil routes should be free from seasonal restrictions  Reconstruction only guaranteed solution 40
  • 41. Graded Roadway Width  Determines if thick overlays are feasible without narrowing lanes and shoulders  ≈ 50% of county roads ≤ 28 ft wide  Narrower roads affect roadway capacity (e.g., vehicles per hour) as well as safety  Predicted crash rate for a two-lane road with 11-ft lanes and 2-ft shoulders is 1.38 x crash rate with 12-ft lanes and 6-ft shoulders 41
  • 42. Reduced Road Service Lives  Using AASHTO design equations, the service life of each impacted road is projected with and without oil traffic  The average reduction in life is five years  Williams, McKenzie, and Mountrail Counties have the most predicted miles with reduced service lives 42
  • 43. Type of Road Improvements  Reconstruction: $1.25 million per mile  Eliminatespring restrictions  Standard lanes with shoulders  Improved base-surface thickness ratio  Structural overlay: $300,000 per mile  Base-case: thin overlay  Renewal costs: $8.90 per front-haul truck mile 43
  • 44. Annual Road Maintenance  Maintenance includes two optimally-timed seal coats, crack sealing, patching, striping, etc.  Increases by 50% when traffic increases from low to medium levels  Increases by 35% when traffic increases from medium to high levels  Excludes administrative overhead 44
  • 45. Additional Paved Road Funding Needs (Million $2010) Improvement Type Miles Needs Maintenance 958.4 $41.60 Overlay 249.4 $39.80 Reconstruction 225.6 $256.10 Renewal 483.4 $1.30 All Types . $338.90 45
  • 46. Estimated Investment Needs 2012-2013 -- 2030-2031 (Millions) Unpaved Roads $567.00 Paved Roads $340.10 All Roads $907.10 3% Inflation $1,099.30 5% Inflation $1,266.57 46
  • 47. Conclusion and Discussion  Estimates for oil-impacted roads only  Needs in addition to other road needs  Investments will provide improved service for all road users; benefits include:  Year-round legal loads on key paved roads  Wider safer roads with more capacity  Reduced transportation cost  Lower life-cycle costs (incl. road user cost) 47