SPE Journal

An innovative approach uses a random-forest-based framework to link logging-while-drilling and multifrequencey seismic data to enable dynamic updates to lithology parameter predictions, enhancing efficiency and robustness of geosteering applications.

This paper presents a comprehensive literature review of perforate, wash, and cement techniques that compares new methods with traditional ones and uses field cases and computational fluid dynamics to find the most cost- and time-effective practices without sacrificing safety.

This study combines preshear degradation, permeability, and oil presence effects to evaluate and improve polymer injectivity using acrylamido tertiary butyl sulfonate (ATBS) polymer in carbonate rock.

This paper presents a fundamental research study with the main objective of building a mechanistic numerical model that captures the important mechanisms of polymer flooding through various mechanistic equations using a combined reservoir flow and geochemical numerical simulator.

This comprehensive review of stuck pipe prediction methods focuses on data frequency, approach to variable selection, types of predictive models, interpretability, and performance assessment with the aim of providing improved guidelines for prediction that can be extended to other drilling abnormalities, such as lost circulation and drilling dysfunctions.

This paper introduces a novel optimization framework to address CO2 injection strategies under geomechanical risks using a Fourier neural operator-based deep-learning model.

This paper presents the application of a new automatic geosteering method that combines probabilistic interpretation with artificial intelligence for look-ahead decision-making, representing an innovative advancement in automated geosteering frameworks.

Investigation into the parameters affecting the displacement efficiency of CO2 injection under miscible and near-miscible conditions in the presence and absence of mobile water saturation using carbon dioxide core injection experiments.

A detailed comparison of two leading software platforms demonstrates the effective application of these platforms in modeling complex reservoir dynamics and biochemical reactions in geological formations for risk assessment in underground hydrogen storage.

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.