Industry leaders champion collaborative solutions as essential for overcoming fracturing limitations.

Regional pore-pressure variations in the Leonardian- and Wolfcampian-age producing strata in the Midland and Delaware basins are studied using a variety of subsurface data.

The authors of this paper present a novel joint-domain full waveform inversion framework optimizing travel-time accuracy in both data and model domains.

As reservoir complexity and energy-transition demands grow, the industry is developing new logging technologies, integrating multidisciplinary functions, and conducting new experiments to address new challenges. This Technology Focus highlights three papers from conventional, unconventional, and carbon-storage projects.

The main goal of this research work was to determine subseismic faults and fracture corridors and their characteristics, including density and orientation, for a Paleocene fractured carbonate reservoir.

In this paper, an energy-based 3D fracture-reconstruction method is proposed to derive the complex fracture network from microseismic data in a shale gas reservoir.

The study uses laboratory and digital core analyses of Berea sandstone to estimate petrophysical and dynamic properties for adjustment of predicted precipitation and flow reduction in reservoir simulation models of intermittent CO₂ injection with aquifer drive.

This paper presents a novel workflow for using electromagnetic resistivity-based reservoir mapping logging-while-drilling technologies for successful well placement and multilayer mapping in low-resistivity, low-contrast, thinly laminated clastic reservoirs.

This paper presents a complete digital workflow applied to several greenfields in the Asia Pacific region that leads to successful deep-transient-testing operations initiated from intelligent planning that positively affected field-development decisions.

Technical papers reviewed for this feature are laden with novel technology borne of the quest to understand and solve complex geological structures and features that ultimately will improve our collective effort toward fostering efficient energy production. The three papers presented here are focused on innovative approaches to handling such complexities.

The authors write that, by wireline formation testing of a sandstone formation adjacent to a sand/shale laminated reservoir in the Weizhou shale-oil region of the Beibu Gulf, key reservoir information can be directly obtained.

This study introduces a cleanup- and flowback-testing approach incorporating advanced solids-separation technology, a portable solution, equipment automation, improved metallurgy, and enhanced safety standards.

A Shell partnership with YPF marks a significant milestone for the Argentina LNG export facility, raising new questions about the nation’s potential to unlock the economic power of its vast shale reserves.

Diversified Energy announces its largest deal yet to buy private equity-owned Maverick Natural Resources.

A numerical simulation study based on experimental data of 2D and 3D models is presented to examine immiscible fingering during field-scale polymer-enhanced oil recovery.

This selection of cutting-edge articles spotlights how experimental concepts are now driving cost-saving strategies in unconventional development. It’s a reminder that innovation often comes from creative thinking, not just new tools or tech partnerships.

Rystad Energy and Wood Mackenzie highlight key factors shaping the balancing act in the upstream oil market.

The objective of this study is to develop an explainable data-driven method using five different methods to create a model using a multidimensional data set with more than 700 rows of data for predicting minimum miscibility pressure.

The authors present an open-source framework for the development and evaluation of machine-learning-assisted data-driven models of CO₂ enhanced oil recovery processes to predict oil production and CO₂ retention.

The authors of this paper propose hybrid models, combining machine learning and a physics-based approach, for rapid production forecasting and reservoir-connectivity characterization using routine injection or production and pressure data.