Testing page for app

This paper illustrates a case study from a greenfield oil development in Sarawak that is planned for a fit-for-purpose development scope to create value and develop oil resources in a phased manner within 4 years of project framing.

The papers selected for this year’s feature collectively highlight the ongoing transformation of field-development planning across the oil and gas industry. A common theme among these papers is the integration of subsurface, drilling, facilities, and operational workflows into unified development frameworks.

This paper describes the potential of combined-cycle technology (use of a gas turbine and a steam turbine together to turn fuel into electricity) in offshore carbon-capture applications.

This study reviews subsurface microbial activity, biomineralization reactions, and mechanisms prevalent for bioremediating wells, stabilizing cements, and increasing trapping during CO₂ injection and storage.

Injection of CO₂ into depleted gas reservoirs, and even more so for saline aquifers, initiates a series of interconnected physical and geochemical phenomena. The geochemical process within silicate and carbonate reservoirs offers the potential to enhance storage by creating secure CO₂ reactions with rock/brine/additives.

This paper aims to showcase examples of how integrated analysis of surveillance data in the Azeri-Chirag-Gunashli field has improved reservoir understanding and informed reservoir-management decisions.

This paper aims to optimize well trajectories in offshore reservoir development by applying a Pareto-based multiobjective approach.

This paper uses the structural-integrity-management framework to evaluate the current structural integrity of chosen platforms, highlighting their potential and limitations for carbon capture, use, and storage purposes based on in-service assessments.

This work applies fuzzy logic, a well-established artificial-intelligence technique, to quantitatively assess connectivity between injectors and producers in a giant presalt field in the Santos Basin of Brazil.

This paper presents a reduced physics-based model that accelerates the ability to screen infill-location optimization, using the fast marching method to maximize production for a reservoir with multiple realizations.