A major upstream oil and gas operator in eastern Saudi Arabia commissioned a comprehensive spatial and infrastructure optimisation study to enhance production efficiency and reduce operational risk exposure. The operator manages a portfolio of mature and partially developed onshore fields characterised by complex reservoir structures and extensive surface infrastructure networks.
The objective was to integrate subsurface geological intelligence with above-ground asset mapping to support long-term field development, improve capital allocation decisions, and strengthen infrastructure resilience.
The study area included multiple onshore oilfields within the Eastern Province sedimentary basin system. These fields are defined by carbonate reservoirs, structural folding, and faulted compartments that influence fluid flow and recovery rates.
Surface assets examined during the project included:
Well pads and drilling clusters
Gathering systems
High-pressure pipeline corridors
Separation and processing facilities
Storage and export linkages
Many of these installations were developed incrementally over several decades, resulting in legacy infrastructure layouts that no longer fully align with current production strategies.
The project combined:
Three-dimensional seismic interpretation
Reservoir compartment modelling
GIS-based pipeline network mapping
Production flow simulations
Infrastructure risk analytics
High-resolution seismic datasets were reinterpreted to refine fault mapping and identify underexploited reservoir compartments. This enabled more precise well placement modelling and improved understanding of pressure behaviour across the field.
Pipeline networks were digitised and analysed within a spatial modelling environment. Flow simulations assessed throughput capacity, pressure gradients, and potential choke points. This process identified areas where infrastructure configuration created inefficiencies or increased operational strain.
Production data was integrated with spatial mapping to evaluate asset utilisation rates and forecast performance under alternative development scenarios.
A comprehensive risk mapping framework was developed to evaluate both geological and operational exposure factors. These included:
Proximity of pipelines and facilities to fault lines
Corrosion exposure in high-temperature and saline environments
Sand encroachment risks in exposed corridors
Flash flooding susceptibility in wadi systems
Ageing infrastructure segments with elevated failure probability
Spatial overlays revealed clusters where infrastructure intersected structurally complex zones, increasing potential maintenance and rupture risks. Several pipeline segments were identified as single-point-of-failure risks, where disruption could significantly impact production continuity.
The integrated assessment produced several measurable optimisation opportunities:
Reconfiguration of selected gathering systems reduced average transport distance and improved flow efficiency
Identification of structurally favourable infill drilling zones increased projected recovery stability
Infrastructure redundancy mapping revealed opportunities to reinforce network resilience without major capital expansion
Risk modelling highlighted priority upgrade corridors where reinforcement or rerouting would significantly reduce long-term operational exposure.
Production scenario modelling demonstrated that improved alignment between reservoir structure and infrastructure layout could enhance pressure balance, reduce downtime, and stabilise output profiles across the asset portfolio.
The project provided a unified operational framework linking subsurface geological insight with surface infrastructure planning. This shift from isolated technical silos to integrated spatial intelligence strengthened cross-disciplinary coordination between geoscience, engineering, and asset management teams.
Capital planning decisions were informed by risk-weighted infrastructure modelling, ensuring investment was prioritised in zones delivering both efficiency gains and resilience improvements.
By integrating seismic data, pipeline networks, and production infrastructure into a single analytical platform, the operator moved from reactive optimisation to proactive, scenario-based field management.
The initiative enhanced operational stability, reduced exposure to infrastructure failure risks, and supported structured long-term resource management within one of the most strategically significant hydrocarbon regions in the world.