Testing page for app

The global oil and gas industry is reimagining natural gas processing and handling in response to environmental pressures, economic realities, and technological opportunities. The predominant narrative is one of transition.

This paper describes the operator’s initiative to reduce greenhouse-gas emissions and recover additional hydrocarbon, monetizing it as sales gas, by integrating upstream and downstream gas facilities in a unified approach.

This paper demonstrates how the integration of multiphysics downhole imaging with machine-learning techniques provides a significant advance in perforation-erosion analysis.

Data centers could add up to 6 Bcf/D of US gas demand by 2030, creating a new opportunity for producers and reshaping how oil companies think about electricity supply.

The chair of the SPE Georgetown Section outlines how balanced, apolitical dialogue can support development amid rapid energy expansion.

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.