Testing page for app

This paper sheds light on newer frontiers of tracer applications with unconventional uses to gain flow insights from an oil and gas reservoir.

The authors’ work states that the qualification approach for offshore hydrogen pipeline systems should include material properties testing under various conditions.

This paper presents a family of machine-learning-based reduced-order models trained on rigorous first-principle thermodynamic simulation results to extract physicochemical properties.

This paper presents different geochemical approaches to assess the origin of produced gases and thermal maturity and evaluate the effect of adsorption on shale gas during production.

This paper is a summary of a study that covers through-life economics for producing green hydrogen from offshore fixed wind turbines.

The selected papers and suggested additional reading provide valuable insights into the evolving field of development optimization using physics-based simulation models and machine learning.

This paper summarizes techniques for production allocation using geochemical methods and describes a best practice for a specialized approach.

This paper presents a comprehensive technical review of applications of distributed acoustic sensing.

The technical arena of oilfield chemistry, both that of the natural downhole environment and that of chemistry introduced downhole, provides a rich testing ground for advanced uses of data. Whereas early uses of data in the upstream chemical space included use of design of experiment for vetting or developing new chemistries, today, data analytics enables, for example…

The authors of this paper analyze a robust, well-distributed parent/child well data set using a combination of available empirical data and numerical simulation outputs to develop a predictive machine-learning model.