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This paper explores how artificial intelligence (AI), cognitive models, and integrated digital tools can transform readiness from periodic drills into a continuous, measurable capability.

This paper presents a competency-centered, data-driven approach implemented to strengthen control-room emergency-response capability through a cloud-hosted, scenario-based virtual plant simulator.

This paper presents an autonomous, data-driven solution designed specifically for intermittent well optimization.

This case study from Malaysia’s Petronas outlines a comprehensive review of perforation-charge testing across various tubular and reservoir conditions to help improve production from complex downhole scenarios.

This paper discusses waterflooding and field-development implications of subsea seawater treatment for improved oil recovery.

This paper presents an engineering solution tailored for shallow-water oilfield development in Bohai Bay, addressing the confluence of spatial constraints, marginal economics, and environmental conditions that have rendered such reserves stranded.

Across gas assets, operators are under increasing pressure to improve recovery, enhance production efficiency, and maximize the value of existing infrastructure under tighter technical and economic constraints. In shale developments, this translates to optimizing stage and cluster design and, more importantly, leveraging data-driven approaches to better understand sti…

This work evaluates CO2-based fracturing as a sustainable development approach for shale gas reservoirs in the Burgos Basin of Mexico.

This paper describes an autonomous inflow-control technology for gas wells developed to detect and choke unwanted water production autonomously while allowing gas and condensate production.

This paper details the design and implementation of a subsea multiphase pump solution deployed in the Atlanta field designed to maximize reuse of existing subsea and topside equipment.