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The authors of this paper present a workflow designed to achieve maximum integration between analytical and modeling activities in carbon capture and storage projects.

The authors of this paper present an adaptive grid-coarsening approach based on constraints that honor reservoir structure and stratigraphy, preserve fluid volumes and contacts, and retain resolution near wells.

This paper investigates condensate-banking effects on well performance by conducting field-modeling studies on Delaware Basin deep Wolfcamp condensate producers using compositional simulation models with hydraulic fractures.

A former CEO of Petronas Carigali Sdn Bhd and an SPE Distinguished Member, Mansor was also recognized for recruiting more than 100 members.

This paper presents a novel methodology that merges principles of physics, data science, and uncertainty modeling to offer more-resilient and -precise solutions for managing real-time pipe-sticking occurrences

As carbon capture scales up worldwide, the real challenge lies deep underground—where smart reservoir management determines whether CO₂ stays put for good.

Updates about global exploration and production activities and developments.

This article is the third in a Q&A series from the SPE Research and Development Technical Section focusing on emerging energy technologies. In this piece, Zikri Bayraktar, a senior machine learning engineer with SLB’s Software Technology and Innovation Center, discusses the expanding use of artificial intelligence in the upstream sector.

Speakers from various disciplines and professions focus on industry trends, challenges, technology applications and advances. Scheduled DL events are in-person meetings only.

Modern carbon capture and storage projects demand simulation workflows and advancements that can effectively capture not only multiphase flow but also thermal, chemical, and geomechanical processes over timeframes far exceeding conventional production cycles.