New and novel developments in data handling, geoscience and Ai

New and novel developments in data handling, geoscience and AI

This theme explores how cutting‑edge data science, automation and artificial intelligence are transforming the way we characterise the subsurface. The theme encompasses new digital workflows, smarter interpretation methods and the integration of vast, complex datasets to improve decision‑making across geoscience and engineering. Contributions in this area will push the boundaries of what is possible with modern computational tools, as well as methods for storing manipulating and communicating large volume datasets for international technical & project teams.

The rapid evolution of data science, automation, and artificial intelligence is redefining how geoscientists and engineers explore, analyse, and understand the subsurface. As the scale and complexity of available data continue to grow, regularly beyond 10TB, the industry faces both unprecedented opportunities and new technical challenges. This theme brings together the latest innovations in digital geoscience, showcasing how advanced computational methods are enabling faster, more accurate, and more collaborative subsurface characterisation.

This theme highlights emerging approaches in cloud‑native data management, high‑performance computing, and scalable storage solutions that allow global geoscience and engineering teams to work seamlessly with massive, multidimensional datasets. These developments are not only improving efficiency but also unlocking new analytical capabilities that were previously impractical or impossible.

At the same time, breakthroughs in machine learning, computer vision, and AI‑assisted interpretation are transforming how geoscientists interact with seismic, well, and earth‑model data. From automated pattern recognition and probabilistic modelling to intelligent data fusion and real‑time analytics, these tools are reshaping the decision‑making landscape across exploration, development, and engineering workflows.

This theme invites contributions from across the geoscience, engineering, and offshore related data‑science communities. We welcome case studies, methodological advances, and forward‑looking concepts that demonstrate how digital innovation can enhance subsurface understanding. Whether through novel workflows, enhanced visualisation techniques, or new ways of integrating multidisciplinary datasets, this theme celebrates the convergence of geoscience expertise and computational ingenuity — and looks ahead to the next generation of subsurface insight.

CALL FOR ABSTRACTS DEADLINE: 26 JUNE 2026

The conference organising committee invites authors to submit abstracts, of up to 250 words.

The conference proceedings will be produced with an ISBN number. All published papers will be Scopus indexed and have searchable DOI numbers.

Submission Timeline

• Friday 26 June 2026 – Deadline for completed abstracts
• Friday 17 July 2026 – All primary authors will have been notified of their abstract status and given technical paper instructions
• Friday 29 January 2027 – Submission of draft papers for review
• Friday 30 April 2027 – Submission of final papers for publication after addressing review comments.