Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

GIS-Based High-Consequence Modeling for Onshore Hydrocarbon Facilities: A Case Study from Egi, Niger Delta

Domaine:

geospatialenvironment and energy

Type de record:

paper
Créateur:
Mfo
Éditeur:
SPE
Hôte:
Abstract Oil and gas operations in the Niger Delta are characterized by complex infrastructure networks that pose significant environmental and socio-economic risks in the event of operational failures. Traditional environmental assessments often lack spatial precision in identifying areas most vulnerable to spill impacts, limiting their effectiveness for proactive risk management. This study introduces a Geographic Information System (GIS)-based approach for high-consequence modeling within an onshore hydrocarbon production facility in Egi, Rivers State, Nigeria. The methodology integrates multiple spatial datasets—including pipeline routing, wellhead locations, flowstation footprint, land use/land cover classification, slope gradients, and environmental sensitivity indices—to generate composite risk surfaces. These layers were analyzed to delineate zones with the highest potential impact under spill scenarios. Results indicate that approximately 52.1% of the 73.234 km² study area falls within high-consequence zones, with pipelines contributing the largest share (63.02% of total impact area). Light vegetation emerged as the most affected land cover type, underscoring ecological vulnerability. The findings demonstrate the value of GIS-driven consequence modeling for pipeline integrity management, emergency response planning, and regulatory compliance under frameworks such as EGASPIN 2018 and NOSCP. This approach provides operators and regulators with actionable insights to prioritize monitoring, allocate resources efficiently, and enhance environmental stewardship in sensitive oil-producing regions.

Visit

doi.org

Similaires

Flood influence using GIS and remote sensing based morphometric parameters: A case study in Niger delta regionIntelligent Production Prediction of Deep Offshore Hydrocarbon Reservoir: A Case Study of Niger-Delta Region of NigeriaLateral Rock Characteristic Evidence of Hydrocarbon Restoration from Post-Stack Impedance Inversion: A Case Study of ZED-field Offshore Niger DeltaAnisotropic Imaging of Okubotin 3D, Onshore Niger DeltaPetrophysical Analysis of ‘Bright’ Field, Onshore Niger DeltaEstimating density and vertical stress magnitudes using hydrocarbon exploration data in the onshore Northern Niger Delta Basin, Nigeria: Implication for overpressure prediction

Flood influence using GIS and remote sensing based morphometric parameters: A case study in Niger delta region

This study delineates morphometric parameters for determining flood influence on river catchments in

Intelligent Production Prediction of Deep Offshore Hydrocarbon Reservoir: A Case Study of Niger-Delta Region of Nigeria

Current methods for predicting output, such as material balancing and numerical simulation, need yea

Lateral Rock Characteristic Evidence of Hydrocarbon Restoration from Post-Stack Impedance Inversion: A Case Study of ZED-field Offshore Niger Delta

Lateral predictions of rock properties that are descriptive of a reservoir have been studied using a

Anisotropic Imaging of Okubotin 3D, Onshore Niger Delta

Abstract With the maturity of the Niger Delta region, having been producing hydr

Petrophysical Analysis of ‘Bright’ Field, Onshore Niger Delta

Petrophysical analysis is key to the success of any oil exploration and exploitation work and this t

Estimating density and vertical stress magnitudes using hydrocarbon exploration data in the onshore Northern Niger Delta Basin, Nigeria: Implication for overpressure prediction