Reservoir

This paper presents a workflow that combines probabilistic modeling and deep-learning models trained on an ensemble of physics models to improve scalability and reliability for shale and tight-reservoir forecasting.

This paper discusses the approach used to sectorize a mature giant carbonate reservoir located onshore Abu Dhabi for the purposes of reservoir management, offtake, and injection balancing.

This paper describes the qualification of a multilayer, open-cell matrix polymer system for the first horizontal deployment in an offshore gas well.

Shale Ingenuity’s first pilot used common natural gas liquids to boost daily output 30-fold from a low-producing horizontal well in Texas.

Oil and gas leaders identified the upcoming US presidential election and economic uncertainty as significant drivers of their decision making for 2025.

Over the past 75 years, drillers have gone from the Stone Age to the Space Age when it comes to technological improvements in well construction methods. Yesterday’s crude wood and iron drilling techniques have given way to today’s video game-inspired controls and robotic assistance—much of which migrated from offshore applications. These advancements have driven costs…

A new plan to secure electricity for the powerhouse of Texas oil and gas will cost billions of dollars to achieve.

New names and new deals continue to reshape the US shale sector.

This paper presents a novel modeling framework for predicting residual oil saturation in carbonate rocks. The proposed framework uses supervised machine learning models trained on data generated by pore-scale simulations and aims to supplement conventional coreflooding tests or serve as a tool for rapid residual oil saturation evaluation of a reservoir.

Join us on 17 September for the virtual launch event of the new SPE Integrated Reservoir Management Technical Section.