The SEG has recently published a clarification note for the SEG-Y_r2.1 format, together with an example file that contains metadata in extended textual headers. This work has been completed in collaboration with the IOGP Geomatics Committee to support organisations that wish to leverage the SEG-Y_r2.1 format and enable the realisation of wider industry objectives around transformational workflows through the adoption and application of open standards. This will serve to enable the automated exchange of seismic data and reduce the risk of introducing positional error through deficiencies in current data transfer and loading processes. The inclusion of extended textual headers in the SEG-Y format presents an opportunity to increase both efficiency and reliability and address the risks and limitations in seismic data management processes that have barely changed for decades. IOGP P format records are presented as an already established solution to addressing the issue of missing or unstructured positioning metadata.

This study investigates the relationship between seismic anisotropy parameters (ε, δ, γ) and reservoir quality characteristics within interbedded sandstone-shale formations of the Sadewa Field, Kutai Basin, East Kalimantan. Utilising integrated rock core data and well log measurements from wells DSA-4 and DSA-5ST1, anisotropy parameters were derived from ultrasonic velocity measurements and correlated with petrographic, porosity, and permeability analyses. Two distinct rock types, Rock Type A (RT-A) and Rock Type B (RT-B), were identified based on anisotropy trends and reservoir quality indicators such as clay content, quartz percentage, grain size, and porosity. RT-A samples exhibited significantly higher anisotropy values and reservoir quality, attributed primarily to the presence of hydrocarbon-bearing interlayers confirmed by petrographic observations. Critical porosity and flow zone indicator analyses further supported the classification and quality differentiation of the rock types. The study demonstrates that anisotropy parameters, combined with Gamma Ray log data, providing robust diagnostic tools for discriminating lithological variations and assessing reservoir heterogeneity in complex sedimentary environments.

We present the integration of a lightweight multi-beam echosounder (MBES) and side-scan sonar (SSS) with a UAV platform. A custom dual-hinge foldable mount and dedicated data-logging workflow allow the MBES head to be georefer-enced directly, achieving accuracy comparable to established SBES and USV surveys while offering superior spatial resolution. Field tests in Latvian lakes and rivers demonstrate feasibility, highlight logistical advantages, and show complementary roles of MBES and SSS. This work outlines a practical approach to UAV-based hydrography and expands the toolkit for shallow-water surveying.

As a part of a pilot CCUS project, we acquired walkaway DAS-VSP datasets in a depleted onshore oil field in Japan. Multiple fibre-optic cables were permanently installed in two deviated wells, CCUS-1 and CCUS-2, to enable detailed subsurface delineation and reservoir monitoring during CCUS operations. Despite logistical challenges that resulted in limited and irregular source coverage, the multi-fibre and multi-well walkaway DAS-VSP datasets provided significant insights into the subsurface contexts in the area of interest, aligning with well data and regional geology. We introduced simultaneous source acquisition to our DAS-VSP survey, which doubled operation productivity and delivered repeatable records comparable to conventional single-fleet acquisition. Data processing involved a joint imaging scheme using multi-well and multi-fibre DAS-VSP datasets, including velocity and anisotropy estimation. For further estimating detailed subsurface properties, elastic full waveform inversion was applied. These acquisition and processing strategies successfully handled the complexities inherent in the recorded datasets. This study demonstrates that DAS-VSP technology, when combined with modern acquisition and processing techniques, can significantly enhance the understanding of subsurface contexts in the area of interest. This integration offers a promising avenue for effectively managing production and injection activities, thereby advancing CCUS projects even under operational and budgetary constraints.

The authors analysed the regional distribution of Rogaland Group sands, which were predicted using AI-based Rune Inversion and the Gyllenhammar equation for clay volume estimation applied to the ultra-large Elephant 2.0 database (constructed in 2022). The results were compared with the stratigraphic framework established by Brunstad et al. (2013). Drawing upon publicly available information and insights from personal comments made by Harald Brunstad, the study demonstrates general compliance with the work of Brunstad et al. and reveals potential new areas and thicknesses for sandstone accumulations. Considering the challenges in estimating volume of sand from post-stack inversion, the results show a high degree of correlation, revealing more details between the wells.