Where hydrocarbon exploration targets occur within basins affected by large igneous province (LIP) sequences, an understanding of the volcanic stratigraphy is essential in compiling accurate basin models at all scales. Ditch cutting samples are one of the most commonly available sources of data yielding information in the context of LIP stratigraphy such as phenocryst load, degree of secondary precipitation and lava composition, largely unattainable by remote sensing. Where core data is limited or absent, cuttings provide the only means of accessing such data along with valuable inference of volcanic facies development and down-hole conditions. Interpretations based on cuttings data are widely used in industry and, as such, a repeatable and well-defined methodology for the analysis and designation of volcanic facies from cuttings is an important requirement for regional and individual play modelling. Such an approach has not been common practice to date. We propose a system of basic percentage-based cuttings analysis and ternary classification specifically tailored to LIP sequences, and argue for the benefits of a coherent and transparent basin-wide approach. The classification system is further developed into a logstyle output for easy integration and comparison with other down-hole geophysical and biostratigraphic data. Exploration in areas affected by large igneous provinces (LIPs) such as much of the offshore West of Shetland North Atlantic region has many associated difficulties. In the West of Shetland Basin (WSB) region these may include deep water, difficulties in seismic imaging, regular bad weather, difficult formation properties and a relative lack of regional down-well data with which to predict the extent and volume of volcanic rocks (Archer et al. 2005;Close et al. 2005;Gallagher & Dromgoole 2007). With additional difficulties come additional costs and, as such, it is a matter of no small significance to gain the absolute maximum in information from completed wells. In this contribution we specifically approach the analysis of ditch cuttings generated through LIP sequences in an attempt to promote a standardized analytical procedure. At present a transparent and repeatable system for analysis is not apparent and limits the usability and correlative potential of cuttings-based data on LIP stratigraphy to date. We propose a simple nongenetic percentage-based cutting classification system from which an assessment of the degree of error inherent in cuttings data can be made. The classification system also provides a platform from which subsequent genetic inference can be made where appropriate. Further, as ditch cuttings data are continuous in good well conditions, a subsequent stratigraphic output is proposed whereby easy comparison between other down-hole data sources and, importantly, other wells can be made. This development has been largely undertaken using data from, and in the context of, offshore exploration for hydrocarbons. The results and methodology are however deemed equally applicable to o...