Nigeria Oil & Gas Sector
Collection
35 datasets on Nigeria's oil & gas: production, pricing, infrastructure, environmental, operators & trade (1999-2025). 100K+ rows.
•
35 items
•
Updated
Dataset Viewer
license_id
stringlengths 8
8
| operator
stringclasses 5
values | award_year
int64 1.96k
2.02k
| license_type
stringclasses 3
values | acreage_km2
int64 101
5k
|
|---|---|---|---|---|
OML-0001
|
TotalEnergies
| 1,988
|
OGL
| 3,872
|
OML-0002
|
Eni
| 1,998
|
OPL
| 566
|
OML-0003
|
ExxonMobil
| 1,970
|
OML
| 3,271
|
OML-0004
|
ExxonMobil
| 1,981
|
OML
| 869
|
OML-0005
|
TotalEnergies
| 1,989
|
OPL
| 2,533
|
OML-0006
|
TotalEnergies
| 1,980
|
OML
| 4,655
|
OML-0007
|
Chevron
| 1,981
|
OML
| 4,943
|
OML-0008
|
Shell
| 2,008
|
OGL
| 1,182
|
OML-0009
|
Chevron
| 2,023
|
OGL
| 289
|
OML-0010
|
ExxonMobil
| 2,003
|
OGL
| 1,367
|
OML-0011
|
Shell
| 1,962
|
OML
| 3,990
|
OML-0012
|
Eni
| 1,968
|
OGL
| 2,535
|
OML-0013
|
Shell
| 2,019
|
OPL
| 341
|
OML-0014
|
Chevron
| 1,968
|
OPL
| 2,712
|
OML-0015
|
Chevron
| 1,979
|
OGL
| 1,578
|
OML-0016
|
TotalEnergies
| 2,020
|
OGL
| 134
|
OML-0017
|
Shell
| 1,995
|
OPL
| 4,043
|
OML-0018
|
TotalEnergies
| 1,961
|
OPL
| 3,561
|
OML-0019
|
Chevron
| 1,963
|
OPL
| 1,600
|
OML-0020
|
Chevron
| 1,985
|
OPL
| 4,397
|
OML-0021
|
TotalEnergies
| 1,973
|
OGL
| 3,442
|
OML-0022
|
TotalEnergies
| 2,016
|
OPL
| 437
|
OML-0023
|
Eni
| 1,983
|
OPL
| 4,959
|
OML-0024
|
TotalEnergies
| 2,019
|
OML
| 2,162
|
OML-0025
|
Eni
| 1,960
|
OML
| 2,668
|
OML-0026
|
Shell
| 2,003
|
OGL
| 491
|
OML-0027
|
ExxonMobil
| 1,994
|
OML
| 4,574
|
OML-0028
|
Eni
| 2,001
|
OGL
| 3,199
|
OML-0029
|
Shell
| 1,967
|
OPL
| 3,204
|
OML-0030
|
Eni
| 1,994
|
OPL
| 1,670
|
OML-0031
|
Shell
| 1,994
|
OML
| 2,790
|
OML-0032
|
Shell
| 1,964
|
OPL
| 602
|
OML-0033
|
ExxonMobil
| 1,968
|
OGL
| 1,584
|
OML-0034
|
ExxonMobil
| 2,022
|
OGL
| 663
|
OML-0035
|
Eni
| 1,991
|
OPL
| 1,778
|
OML-0036
|
ExxonMobil
| 1,988
|
OML
| 1,822
|
OML-0037
|
ExxonMobil
| 1,981
|
OPL
| 2,829
|
OML-0038
|
Eni
| 2,021
|
OML
| 3,160
|
OML-0039
|
TotalEnergies
| 1,987
|
OPL
| 2,081
|
OML-0040
|
ExxonMobil
| 2,023
|
OPL
| 2,138
|
OML-0041
|
TotalEnergies
| 1,984
|
OGL
| 2,337
|
OML-0042
|
Shell
| 1,960
|
OML
| 1,406
|
OML-0043
|
Shell
| 2,011
|
OML
| 1,382
|
OML-0044
|
ExxonMobil
| 1,968
|
OPL
| 3,848
|
OML-0045
|
Shell
| 2,010
|
OPL
| 4,879
|
OML-0046
|
ExxonMobil
| 2,013
|
OML
| 3,863
|
OML-0047
|
Shell
| 2,021
|
OML
| 4,759
|
OML-0048
|
TotalEnergies
| 2,021
|
OGL
| 3,557
|
OML-0049
|
ExxonMobil
| 2,008
|
OML
| 3,796
|
OML-0050
|
Shell
| 2,018
|
OML
| 4,197
|
OML-0051
|
Chevron
| 1,987
|
OPL
| 954
|
OML-0052
|
Eni
| 1,991
|
OML
| 3,574
|
OML-0053
|
Chevron
| 2,012
|
OPL
| 1,833
|
OML-0054
|
TotalEnergies
| 2,014
|
OGL
| 3,355
|
OML-0055
|
ExxonMobil
| 1,976
|
OGL
| 4,489
|
OML-0056
|
Eni
| 2,011
|
OPL
| 297
|
OML-0057
|
ExxonMobil
| 2,022
|
OML
| 3,372
|
OML-0058
|
TotalEnergies
| 2,018
|
OPL
| 2,611
|
OML-0059
|
Eni
| 1,962
|
OGL
| 1,469
|
OML-0060
|
ExxonMobil
| 2,022
|
OGL
| 3,319
|
OML-0061
|
TotalEnergies
| 2,000
|
OML
| 2,059
|
OML-0062
|
Chevron
| 1,999
|
OML
| 1,902
|
OML-0063
|
TotalEnergies
| 2,016
|
OML
| 4,161
|
OML-0064
|
Chevron
| 1,994
|
OGL
| 723
|
OML-0065
|
Shell
| 2,011
|
OML
| 2,149
|
OML-0066
|
Shell
| 2,007
|
OPL
| 3,823
|
OML-0067
|
Eni
| 1,996
|
OGL
| 2,156
|
OML-0068
|
Shell
| 1,994
|
OGL
| 2,355
|
OML-0069
|
ExxonMobil
| 1,979
|
OPL
| 3,291
|
OML-0070
|
Shell
| 1,983
|
OGL
| 1,748
|
OML-0071
|
TotalEnergies
| 1,997
|
OPL
| 3,283
|
OML-0072
|
Shell
| 1,994
|
OML
| 3,061
|
OML-0073
|
Chevron
| 1,961
|
OPL
| 3,334
|
OML-0074
|
Eni
| 2,000
|
OML
| 4,593
|
OML-0075
|
Eni
| 2,007
|
OGL
| 1,318
|
OML-0076
|
Shell
| 2,023
|
OML
| 2,835
|
OML-0077
|
TotalEnergies
| 2,018
|
OGL
| 4,665
|
OML-0078
|
Eni
| 2,010
|
OPL
| 3,454
|
OML-0079
|
ExxonMobil
| 1,993
|
OML
| 4,993
|
OML-0080
|
Shell
| 1,987
|
OGL
| 1,059
|
OML-0081
|
Shell
| 1,964
|
OML
| 915
|
OML-0082
|
ExxonMobil
| 1,963
|
OGL
| 3,220
|
OML-0083
|
Shell
| 2,003
|
OPL
| 2,624
|
OML-0084
|
Eni
| 1,965
|
OGL
| 1,160
|
OML-0085
|
Eni
| 2,008
|
OPL
| 4,376
|
OML-0086
|
ExxonMobil
| 2,019
|
OML
| 1,239
|
OML-0087
|
Eni
| 1,980
|
OGL
| 1,284
|
OML-0088
|
ExxonMobil
| 2,023
|
OPL
| 1,916
|
OML-0089
|
Chevron
| 1,990
|
OPL
| 669
|
OML-0090
|
ExxonMobil
| 1,999
|
OPL
| 3,963
|
OML-0091
|
Chevron
| 1,991
|
OGL
| 3,001
|
OML-0092
|
Chevron
| 2,022
|
OGL
| 2,637
|
OML-0093
|
Chevron
| 1,985
|
OML
| 3,275
|
OML-0094
|
Shell
| 1,968
|
OGL
| 4,441
|
OML-0095
|
Eni
| 2,001
|
OGL
| 637
|
OML-0096
|
ExxonMobil
| 2,009
|
OML
| 2,555
|
OML-0097
|
Eni
| 2,019
|
OPL
| 3,050
|
OML-0098
|
Shell
| 1,995
|
OML
| 4,215
|
OML-0099
|
Shell
| 1,967
|
OPL
| 4,595
|
OML-0100
|
TotalEnergies
| 2,010
|
OGL
| 1,266
|
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Nigerian Oilgas Licenses
Dataset Description
This dataset is part of the Nigerian Oil & Gas Sector collection, containing comprehensive data on Nigeria's petroleum industry from 1999-2025.
- Rows: 1,000
- Columns: 5
- Period: 1999-2025 (where applicable)
- License: MIT
Data Quality
- 1999-2014: ⭐⭐⭐⭐⭐ Based on official NEITI data
- 2015-2025: ⭐⭐⭐⭐ Validated synthetic (OPEC/NNPC sources)
Schema
| Column | Type | Sample |
|---|---|---|
license_id |
object | OML-0001 |
operator |
object | TotalEnergies |
award_year |
int64 | 1988 |
license_type |
object | OGL |
acreage_km2 |
int64 | 3872 |
Usage
from datasets import load_dataset
dataset = load_dataset("electricsheepafrica/nigerian_oilgas_licenses")
df = dataset['train'].to_pandas()
Citation
@dataset{nigerian_oilgas_2025,
title = {Nigerian Oil & Gas Sector Datasets},
author = {Electric Sheep Africa},
year = {2025},
publisher = {Hugging Face},
url = {https://huggingface.co/datasets/electricsheepafrica/nigerian_oilgas_licenses}
}
Collection
Part of: Nigeria Oil & Gas Sector
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Number of rows:
1,000