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This addendum aims to refine the algorithm for coal diagnostics, introducing a new type for organic-rich coastal coals.

March 29, 20260 citationsOpen Access

Addendum to Algorithm for Complex Diagnostics of Coal Metalliferous Potential (v1): Type 13 (Organic-Rich Coastal) and Rank-Based Calibration of Sb×U

OSOlga ShagarovaNational University of Science and Technology

Key Points

This addendum aims to refine the algorithm for coal diagnostics, introducing a new type for organic-rich coastal coals.
Extended original algorithm with new datasets from Greece, Nigeria, Spain, and the USA.
Introduced Type 13 for organic-rich coastal environments.
Established diagnostic thresholds using the Sb × U product calibrated against vitrinite reflectance.
Demonstrated 100% agreement between geochemical diagnosis and petrographic data.
Defined three subtypes for Type 13 coal based on petrographic characteristics.

Abstract

This addendum extends the original algorithm (Shagarova, 2026) for the geochemical diagnostics of coal genotypes and critical metal potential. Analysis of new datasets from Greece, Nigeria, Spain, and the USA reveals that coals formed in organic-rich coastal environments—characterized by high V–Ni and V–Al correlations (r > 0.8) and low Ti/Al ratios ( 0.5%): Sb×U 0.30 → III–IV· Lignites and subbituminous coals (Ro 10 → III–IV The validity of the Type 13 approach is demonstrated through case studies from four regions, with 100% agreement between geochemical diagnosis and petrographic data. Three subtypes are defined: · 13a1 (bituminous, Ti/Al 0.1) using Ti‑normalization with silicate subtraction This refinement enhances the algorithm's applicability to paralic and high‑organic basins without requiring petrographic analysis. An updated classification table and diagnostic workflow are provided.

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