Abstract Machine learning techniques have found their way into many problems in
geoscience but have not been used significantly in the analysis of tight rocks. We present a …

It is a problematic task to perform petro-physical property prediction of carbonate reservoir
rocks in most cases, specifically for permeability prediction since a carbonate rock most …

Tight carbonate reservoirs appear to be heterogeneous due to the patchy production of
various digenetic properties. Consequently, the permeability calculation of tight rocks is …

Among archosaurs, thalattosuchian crocodylomorphs experienced the most extensive
adaptations to the marine realm. Despite significant attention, the phylogenetic position of …

The ichthyosaur material of the British Middle and Upper Jurassic referable to
Ophthalmosaurus icenicus (Ichthyosauria: Ophthalmosauridae) is revisited and re …

Abstract Machine learning clustering methods offer the potential for recognition and
separation of facies based on core or well-log data. This is a particular problem for …

This report has been produced under contract by the British Geological Survey (BGS). It is
based on a recent analysis, together with published data and interpretations. Additional …

Calcite veins at outcrop in the Mesozoic, oil‐bearing Wessex Basin, UK, have been studied
using field characterization, petrography, fluid inclusions and stable isotopes to help …

This review was commissioned by the BGS Stratigraphy Committee under the Chairmanship
of John Powell and Colin Waters. It is based on a synthesis of new stratigraphical …

Portland Stone, a well known ooidal limestone of Jurassic age from the United Kingdom is
here nominated as a suitable “Global Heritage Stone Resource”. Portland Stone is …