• Energy
  • 19 columns
  • 130 rows
  • 8 formats

Natural Gas Pipeline Receipt and Delivery Points

This dataset provides detailed daily records of natural gas receipts and deliveries at interstate pipeline points, including volumes, heating values, facility information, and pipeline capacity constraints. It enables granular analysis of pipeline operations, energy generation, and infrastructure bottlenecks, supporting both operational monitoring and strategic planning in the energy sector.

  • last updated 2 Nov 2025
  • by GoMask
The brief that made it

Pipeline operational monitoring and bottleneck detection

Sample rows

preview · 8 of 130 rows · all 19 columns
point_idstringfacility_typestringvolume_mmbtufloatcapacity_constraintbooleanaddress_statestringpoint_namestringpoint_typestringpipeline_idstringpipeline_namestringoperator_namestringfacility_namestringaddress_streetstringaddress_citystringaddress_postal_codestringaddress_countrystringdatedateheating_value_btu_per_scffloatpipeline_capacity_mmbtufloatnotesstring
RCPT-001Areceipt station87000.2falsePAScranton North Receipt StationreceiptPIPE-001Northeast Express PipelineTransGas Northeast LLCScranton NE-Station1450 E Main StScranton18510USA2024-06-011021.590000blank
DLVRY-003Bcity gate78950.6falseILChicago South City GatedeliveryPIPE-002Midwest ConnectorMidwest Gas TransmissionChicago South Gate2215 S Halsted AveChicago60608USA2024-06-011056.880000Normal operation
RCPT-006Ccompressor station11500.3falseWYCasper Compressor StationreceiptPIPE-005Rocky Mountain PipelineRocky Gas Partnersblank8310 W Yellowstone HwyCasper82604USA2024-06-01996.212000blank
STGW-001Xstorage62000falseMISaginaw Storage Withdrawalstorage_withdrawalPIPE-007Great Lakes Storage LinkGL Storage Co.Saginaw Storage4900 Industrial RdSaginaw48601USA2024-06-011055.465000Early summer withdrawal
DLVRY-009Ecity gate41800.8falseCASan Francisco City Gate NorthdeliveryPIPE-004Pacific Coast TransmissionPacific Gas LinesSF North Gate3000 Van Ness AveSan Francisco94109USA2024-06-011031.342000blank
RCPT-002Freceipt station23500.7falseMTBillings East Receipt StationreceiptPIPE-006Northern Plains PipelineNorthern Plains TransportBillings East5200 E Airport RdBillings59105USA2024-06-011027.925000blank
DLVRY-012Ggas-fired plant175000falseTXAustin Industrial Gas PlantdeliveryPIPE-008Central Texas MainlineTexas Pipeline GroupAustin Industrial Plant3801 S Congress AveAustin78704USA2024-06-01997.6180000Plant running at normal output
RCPT-003Hcompressor station30500.9falseCODenver West Compressor StationreceiptPIPE-003Western InterconnectInterMountain Gasblank1555 W Colfax AveDenver80204USA2024-06-011051.231000blank

What the 130 rows show

from the 130-row sample

Gas-fired plant (facility type) stands out: mean volume_mmbtu is 147,669, against 57,728 for the rest.

  • 4%capacity_constraint = true
  • 61,500median volume_mmbtu
  • 3point types
  • 3address countries
  • 1,023median heating_value_btu_per_scf
  • 65,000median pipeline_capacity_mmbtu
Mean volume_mmbtu by facility_type130 rows
0100k200k63,890city g…45 rows55,540receip…30 rows70,478storage27 rows20,667compre…15 rows147.7kgas-fi…13 rows
volume_mmbtu130 rows, in bands of 25k
02550172944191062210125k225kvolume_mmbtu →

Median 61,500, from 1,200 to 215,000.

address_state130 rows · top 10 of 39 values
  1. TX12
  2. CA11
  3. CO9
  4. MI7
  5. PA6
  6. WY5
  7. TAM5
  8. FL5
  9. MT4
  10. ON4
19 columns by typefrom the column list below
  • string 14
  • float 3
  • date 1
  • boolean 1

Columns

19 columns in four groups
blueprint · 19 columns
columntypedescriptionexample
Text 14 columns
point_idstringUnique identifier for the receipt or delivery pointuniqueRCPT-001A
point_namestringName of the receipt or delivery pointChicago South City Gate
point_typestringType of point: receipt, delivery, or storage withdrawalreceipt · delivery · storage_withdrawalreceipt
pipeline_idstringUnique identifier for the pipeline associated with the pointPIPE-001
pipeline_namestringName of the pipelineMidwest Connector
operator_namestringName of the pipeline operatorTransGas Northeast LLC
facility_typestringType of facility at the point (e.g., gas-fired plant, storage, compressor station)5 types · optionalreceipt station
facility_namestringName of the facility (if applicable)optionalScranton NE-Station
address_streetstringStreet address of the pointoptional1450 E Main St
address_citystringCity where the point is locatedoptionalScranton
address_statestringState where the point is locatedoptionalPA
address_postal_codestringPostal code of the pointoptional18510
address_countrystringCountry where the point is located3 countries · optionalUSA
notesstringAdditional notes or comments about the point or measurementoptionalNormal operation
Numbers 3 columns
volume_mmbtufloatDaily volume of natural gas in MMBtu0 or more87000.2
heating_value_btu_per_scffloatHeating value of the natural gas in Btu per standard cubic foot0 or more1021.5
pipeline_capacity_mmbtufloatMaximum daily pipeline capacity at the point in MMBtu0 or more · optional90000
Dates and times 1 column
datedateDate of the measurement or transaction2024-06-01
True or false 1 column
capacity_constraintbooleanIndicates if the pipeline is operating under a capacity constraint at this point on this dateoptionalfalse

Use it for

  • capacity const…4%5 of 130 rowsmean volume mmbtu by …63.9kcity…55.5krece…70.5kstor…20.7kcomp…

    An energy dashboard

    The capacity_constraint rate, volume_mmbtu by facility_type and a breakdown of address_state. Excel, Power BI or Tableau.

  • Why do the 13 gas-fired plant rows have a mean volume_mmbtu of 147,669?

    A root-cause class exercise

    Hand out the rows and one question. The answer is in the data, not in the brief.

  • A software demo

    Believable points with point_name, point_type and pipeline_id to fill a screen in front of a buyer.

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This dataset130 rows19 columns
Yours10,000 rows19 columnsaddress_street: UK only

blueprint · natural-gas-pipeline-receipt-and-delivery-points

Behind this dataset

Same schema. As many rows as you need.

These 130 rows came out of a blueprint — 19 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with
  • Gas day (9:30am-9:30am CCT) and pipeline operator (e.g., Texas Eastern, ANR)
  • Receipt point: interstate pipeline interconnect or storage facility
  • Delivery point: power plant, city gate, or LDC interconnect
  • Volume in MMBtu (million British thermal units) or Mcf (thousand cubic feet)
  • Heating value (Btu/scf), typically 1,000-1,050 Btu/scf
  • Firm vs. interruptible transportation contracts
  • Pipeline capacity constraints and operational flow orders (OFOs)
  • Imbalance charges for over/under deliveries
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
natural-gas-pipeline-receipt-and-delivery-points

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