Advances in geotechnical GI, in-situ / laboratory testing & parameter derivation

Advances in geotechnical GI, in-situ / laboratory testing & parameter derivation

At a time of significant industry investment, our sector is playing a major role in developing novel in-situ and laboratory ground investigation (GI) techniques, data acquisition approaches, data processing and geotechnical parameter derivation methodologies to reduce site investigation costs and design uncertainty. Papers are therefore invited that cover these topics and show how they may be adopted to achieve better, more integrated, GI workflows.

The geotechnical community is experiencing a period of rapid innovation, driven by the need for more efficient, reliable, and cost‑effective ground investigation strategies. In particular, as offshore wind, coastal infrastructure, and major onshore developments accelerate, the demand for high‑quality geotechnical data — and the tools required to acquire, process, and interpret it — has never been greater. This theme explores the latest advances in in‑situ and laboratory testing, data acquisition technologies, and parameter derivation methodologies that are reshaping the way we characterise the ground. Much can still be learned from more mature Oil & Gas practice and philosophies, and submissions from all offshore sectors are encouraged.

We highlight emerging approaches that enhance the resolution, repeatability, and interpretability of geotechnical measurements, from next‑generation in‑situ tools and automated laboratory systems to improved sampling techniques and digital data capture. These innovations are enabling practitioners to extract more value from each investigation, reducing uncertainty while supporting more robust and optimised engineering designs. They also allow Geoscientists to make more accurate interpretations.

A key focus of this theme is the development of integrated workflows that link field testing, laboratory analysis, and advanced data processing. By combining these elements, engineers can derive geotechnical parameters with greater confidence, improve correlations between datasets, and streamline the transition from raw measurements to design‑ready inputs. Contributions may also explore how modern data analytics, machine learning, and probabilistic methods are being applied to enhance parameter derivation and reduce interpretive subjectivity or conservatism.

We welcome papers that demonstrate how these advances can be practically adopted to improve project outcomes — whether through reduced investigation costs, clearer communication of ground conditions, or more efficient design processes. Case studies, methodological developments, and forward‑looking concepts are all encouraged, particularly those that show how integrated GI workflows can deliver safer, more sustainable, and more predictable engineering solutions.

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.