Testing page for app

This paper highlights the effects of tax credits on business operations for midstream companies in the Permian Basin.

This paper presents a workflow that leverages a multiagent conversational system to integrate data, analytics, and domain expertise for improved completion strategies.

Clear value creation can be seen in drilling activities through advancements in autonomous drilling, robotic technologies, and physics-based AI. The end-to-end completions cycle is now seeing a similar trend.

Two examples from ONGC show how supervised AI-driven automation scaled well modeling across hundreds of offshore wells, saving more than 1,000 engineering hours.

Examples demonstrate how an Integrated Operations Center as a Service (IOCaaS) model, powered by artificial intelligence, reduced costs by 5% and increased production by 6% in Canada.

This paper introduces a field-deployable, trailer-mounted liquefaction system engineered to convert flared or stranded gas into low-carbon liquefied natural gas.

This paper introduces a novel steam-sensitive flow-control device designed to restrict the production of steam and low-subcool liquids while allowing higher mobility of oil-phase fluids.

One click—instant access, every time.

The authors propose a deep-learning-based approach enabling near-real-time CO2-plume visualization and rapid data assimilation incorporating multiple geological realizations for predicting future CO2 plume evolution and area-of-review determination.

This study integrates laboratory testing with reservoir simulation to evaluate the effectiveness of autonomous inflow-control valves in managing late-life steam-assisted gravity-drainage production challenges.