The data heterogeneity and multidimensionality, including the exponential growth of upstream businesses, complicate the construct-design and model development, precluding data integration process. Besides, an uncertainty arises with the effectiveness of business models, making prototype evaluation uncertain, risking business prospects. The significance of Information System (IS) artefacts is realized in upstream business contexts, in which unstructured volumes and varieties of data attributes and instances may have complicated the artefact designs, especially in geographically distributed petroleum systems. We consider a petroleum-prospecting company, a case study with a focus on IS development for upstream businesses and their growth with new reserves. As a part of business IS artefact development, we study a multidimensional modelling approach, in which structure and reservoir models are integrated into logical metadata to extract valuable meta-knowledge. The contribution of research lies with facts of designing new IS artefacts and evaluates their efficacy in new knowledge domains using artefact-utility properties.