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
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 |
⚠️ Synthetic dataset — Parameterized from published SSA literature, not real observations. Not suitable for empirical analysis or policy inference.
This dataset is part of the Nigerian Oil & Gas Sector collection, containing comprehensive data on Nigeria's petroleum industry from 1999-2025.
| Column | Type | Sample |
|---|---|---|
license_id |
object | OML-0001 |
operator |
object | TotalEnergies |
award_year |
int64 | 1988 |
license_type |
object | OGL |
acreage_km2 |
int64 | 3872 |
from datasets import load_dataset
dataset = load_dataset("electricsheepafrica/nigerian_oilgas_licenses")
df = dataset['train'].to_pandas()
@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}
}
Part of: Nigeria Oil & Gas Sector