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
project_id stringlengths 8 8 | site stringlengths 6 9 | operator stringclasses 3
values | start_year int64 2k 2.02k | cost_usd int64 1.02M 49.9M |
|---|---|---|---|---|
REM-0001 | Site_1 | ExxonMobil | 2,010 | 26,270,245 |
REM-0002 | Site_2 | ExxonMobil | 2,007 | 40,660,289 |
REM-0003 | Site_3 | Shell | 2,018 | 46,061,463 |
REM-0004 | Site_4 | ExxonMobil | 2,007 | 21,219,382 |
REM-0005 | Site_5 | Chevron | 2,000 | 16,932,177 |
REM-0006 | Site_6 | ExxonMobil | 2,008 | 4,497,782 |
REM-0007 | Site_7 | ExxonMobil | 2,023 | 10,744,407 |
REM-0008 | Site_8 | Shell | 2,010 | 18,992,975 |
REM-0009 | Site_9 | Shell | 2,008 | 8,812,845 |
REM-0010 | Site_10 | Shell | 2,003 | 5,010,883 |
REM-0011 | Site_11 | ExxonMobil | 2,001 | 1,910,366 |
REM-0012 | Site_12 | Chevron | 2,002 | 41,049,240 |
REM-0013 | Site_13 | Chevron | 2,000 | 7,236,612 |
REM-0014 | Site_14 | ExxonMobil | 2,019 | 47,184,030 |
REM-0015 | Site_15 | ExxonMobil | 2,002 | 15,409,445 |
REM-0016 | Site_16 | Shell | 2,015 | 10,463,111 |
REM-0017 | Site_17 | ExxonMobil | 2,012 | 12,166,221 |
REM-0018 | Site_18 | ExxonMobil | 2,017 | 19,064,309 |
REM-0019 | Site_19 | Shell | 2,003 | 11,538,096 |
REM-0020 | Site_20 | Chevron | 2,019 | 16,655,517 |
REM-0021 | Site_21 | ExxonMobil | 2,021 | 16,515,269 |
REM-0022 | Site_22 | Shell | 2,013 | 13,243,250 |
REM-0023 | Site_23 | Chevron | 2,001 | 18,914,024 |
REM-0024 | Site_24 | Shell | 2,006 | 1,490,641 |
REM-0025 | Site_25 | ExxonMobil | 2,007 | 23,336,025 |
REM-0026 | Site_26 | Chevron | 2,020 | 24,356,319 |
REM-0027 | Site_27 | Chevron | 2,017 | 45,192,848 |
REM-0028 | Site_28 | Shell | 2,000 | 14,848,163 |
REM-0029 | Site_29 | ExxonMobil | 2,008 | 33,195,048 |
REM-0030 | Site_30 | ExxonMobil | 2,005 | 33,566,053 |
REM-0031 | Site_31 | Chevron | 2,009 | 13,103,600 |
REM-0032 | Site_32 | ExxonMobil | 2,003 | 8,774,773 |
REM-0033 | Site_33 | Chevron | 2,007 | 31,761,344 |
REM-0034 | Site_34 | Chevron | 2,016 | 45,515,307 |
REM-0035 | Site_35 | Shell | 2,012 | 1,679,256 |
REM-0036 | Site_36 | Chevron | 2,013 | 5,250,919 |
REM-0037 | Site_37 | Chevron | 2,006 | 19,099,568 |
REM-0038 | Site_38 | ExxonMobil | 2,000 | 39,531,911 |
REM-0039 | Site_39 | Shell | 2,023 | 29,510,736 |
REM-0040 | Site_40 | ExxonMobil | 2,015 | 34,467,369 |
REM-0041 | Site_41 | Shell | 2,015 | 44,817,181 |
REM-0042 | Site_42 | ExxonMobil | 2,000 | 29,490,215 |
REM-0043 | Site_43 | ExxonMobil | 2,006 | 20,075,020 |
REM-0044 | Site_44 | Shell | 2,009 | 34,460,748 |
REM-0045 | Site_45 | ExxonMobil | 2,005 | 30,094,375 |
REM-0046 | Site_46 | Shell | 2,016 | 18,388,669 |
REM-0047 | Site_47 | Chevron | 2,005 | 23,322,314 |
REM-0048 | Site_48 | ExxonMobil | 2,021 | 40,851,689 |
REM-0049 | Site_49 | Chevron | 2,010 | 11,488,052 |
REM-0050 | Site_50 | ExxonMobil | 2,001 | 4,712,209 |
REM-0051 | Site_51 | Chevron | 2,011 | 8,171,582 |
REM-0052 | Site_52 | Shell | 2,003 | 38,271,055 |
REM-0053 | Site_53 | Chevron | 2,001 | 7,052,884 |
REM-0054 | Site_54 | ExxonMobil | 2,020 | 46,288,842 |
REM-0055 | Site_55 | Chevron | 2,004 | 20,682,679 |
REM-0056 | Site_56 | Chevron | 2,021 | 31,042,918 |
REM-0057 | Site_57 | ExxonMobil | 2,005 | 7,879,457 |
REM-0058 | Site_58 | Shell | 2,007 | 18,547,067 |
REM-0059 | Site_59 | Chevron | 2,000 | 38,235,129 |
REM-0060 | Site_60 | Chevron | 2,003 | 14,917,421 |
REM-0061 | Site_61 | Chevron | 2,004 | 19,903,931 |
REM-0062 | Site_62 | ExxonMobil | 2,018 | 44,151,755 |
REM-0063 | Site_63 | Chevron | 2,018 | 34,482,227 |
REM-0064 | Site_64 | ExxonMobil | 2,020 | 7,203,923 |
REM-0065 | Site_65 | Shell | 2,019 | 19,024,474 |
REM-0066 | Site_66 | ExxonMobil | 2,004 | 7,536,521 |
REM-0067 | Site_67 | Shell | 2,012 | 47,342,524 |
REM-0068 | Site_68 | Shell | 2,007 | 29,278,709 |
REM-0069 | Site_69 | Shell | 2,021 | 8,038,107 |
REM-0070 | Site_70 | ExxonMobil | 2,017 | 31,393,174 |
REM-0071 | Site_71 | Shell | 2,008 | 11,899,233 |
REM-0072 | Site_72 | Shell | 2,006 | 22,431,316 |
REM-0073 | Site_73 | Chevron | 2,012 | 40,845,495 |
REM-0074 | Site_74 | Chevron | 2,002 | 15,907,497 |
REM-0075 | Site_75 | ExxonMobil | 2,002 | 5,936,015 |
REM-0076 | Site_76 | Shell | 2,016 | 47,907,642 |
REM-0077 | Site_77 | Shell | 2,009 | 16,653,958 |
REM-0078 | Site_78 | ExxonMobil | 2,004 | 46,635,967 |
REM-0079 | Site_79 | ExxonMobil | 2,018 | 20,416,793 |
REM-0080 | Site_80 | Chevron | 2,005 | 28,432,324 |
REM-0081 | Site_81 | Chevron | 2,005 | 28,962,837 |
REM-0082 | Site_82 | ExxonMobil | 2,021 | 38,661,880 |
REM-0083 | Site_83 | ExxonMobil | 2,010 | 37,228,127 |
REM-0084 | Site_84 | Shell | 2,008 | 43,091,541 |
REM-0085 | Site_85 | Chevron | 2,014 | 41,672,391 |
REM-0086 | Site_86 | Chevron | 2,015 | 46,995,890 |
REM-0087 | Site_87 | ExxonMobil | 2,012 | 49,285,213 |
REM-0088 | Site_88 | Shell | 2,011 | 14,946,788 |
REM-0089 | Site_89 | Shell | 2,018 | 17,720,678 |
REM-0090 | Site_90 | ExxonMobil | 2,018 | 28,610,823 |
REM-0091 | Site_91 | Chevron | 2,002 | 43,118,101 |
REM-0092 | Site_92 | Shell | 2,005 | 19,632,694 |
REM-0093 | Site_93 | ExxonMobil | 2,019 | 41,033,979 |
REM-0094 | Site_94 | Shell | 2,016 | 19,824,531 |
REM-0095 | Site_95 | Chevron | 2,005 | 45,569,226 |
REM-0096 | Site_96 | ExxonMobil | 2,005 | 39,919,195 |
REM-0097 | Site_97 | Chevron | 2,006 | 17,724,640 |
REM-0098 | Site_98 | Chevron | 2,023 | 12,214,759 |
REM-0099 | Site_99 | ExxonMobil | 2,013 | 15,299,861 |
REM-0100 | Site_100 | Shell | 2,004 | 48,837,508 |
⚠️ 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 |
|---|---|---|
project_id |
object | REM-0001 |
site |
object | Site_1 |
operator |
object | ExxonMobil |
start_year |
int64 | 2010 |
cost_usd |
int64 | 26270245 |
from datasets import load_dataset
dataset = load_dataset("electricsheepafrica/nigerian_oilgas_remediation")
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_remediation}
}
Part of: Nigeria Oil & Gas Sector