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The youngest time interval of the Cretaceous is known as the Maastrichtian Age, a reference to the strata exposed in the area surrounding the city of Maastricht, in the Netherlands-Belgium border region (Jagt 2001). The stratigraphic succession at the original type-locality of the Maastrichtian (adjacent to the former ENCI quarry, south of Maastricht) only covers the upper part of the Maastrichtian Stage as defined nowadays. However, recent integrated bio- and chemostratigraphic revision by Vellekoop et al. (2022) has shown that in combination with similar lithological sequences at other quarries in the region (e. g., Hallembaye, Curfs), a substantial part of the Maastrichtian Stage is represented. Over the past centuries, the type-Maastrichtian strata have provided a wealth of paleontological data. Despite its importance to the global geological community, most of the quarries in the region have been closed over the last decades. Instrumental quarries such as that of Curfs have already been out of commission for more than a decade, while others, such as the ENCI quarry, were recently closed. Because the soft limestone rocks weather easily and become overgrown rapidly, access to and study of the Maastrichtian rock succession in its type area is becoming very limited. To preserve the geological heritage of this original type-locality of the Maastrichtian, in 2018 we initiated the ‘Maastrichtian Geoheritage Project’. The goal of this project is to preserve the geological heritage of the Maastrichtian type area by (1) digital imagery, using drone photogrammetry and Differential GPS Base & Rover to generate high-resolution and georeferenced 3D models of the most important quarries in the Maastrichtian type region; and (2) archiving rock samples of these quarries for future research. Over the past years, we collected high-resolution (5 cm spacing) reference sample sets from the Hallembaye (2018) and ENCI (2019) quarries, and generated detailed geo-referenced 3D models for both quarries. For the next few years, several other instrumental quarries will be targeted. The acquired sample sets have already spurred a range of stratigraphic, geochemical and paleontological studies (e.g. Vellekoop et al. 2022), including detailed profiles of carbon isotope data and major and trace element concentrations, and many more to come. Moreover, the Maastrichtian Geoheritage Project sample sets will be made available for collaboration with other researchers in the field. Jagt, J.W.M., 2001. The historical stratotype of the Maastrichtian: A review. In: Odin, G.S. (Ed.), The Campanian-Maastrichtian Boundary, pp. 711–722. Elsevier Science B.V. Vellekoop, J. et al. 2022. A new age model and chemostratigraphic framework for the Maastrichtian type area (southeastern Netherlands, northeastern Belgium). Newsletters on Stratigraphy [accepted]

In order to reach greenhouse gas emission reduction targets, atmospheric CO2 emissions from all industrial sectors need to be avoided. Globally, the cement production industry emits 2.4 Gt CO2 per year, or 7% of all CO2 emissions (IEA). While about a third of this could be reduced by using renewable energy sources, the remainder are process emissions from the calcination process. Lime or CaO is produced by heating limestone (CaCO3), emitting CO2. The Australian company Calix has developed a direct separation technology for capturing these process emissions; a pilot-scale installation is operational at the Lixhe cement plant in Belgium (Figure 1). The EU H2020-funded LEILAC2 project (Low Emission Intensity Lime and Cement 2: Demonstration Scale) upscaling and integrating a novel type of carbon capture technology. This technology aims to capture, at low cost, unavoidable process emissions from cement and lime plant. This large-scale capture plant will be installed at the Heidelberg Cement’s plant in Hannover, Germany, capturing 20% of a typical cement plant’s CO2 emission. Apart from the physical installation and operation of the capture unit, a business case will be developed for the downstream components of transport, use and geological storage for the captured CO2. In order to develop a business case, a very large number of options, combinations and scenarios for each these components need to be evaluated, taking into account the intricacies of for example dealing with geological data in economic calculations. The PSS suite of geo-techno-economic simulators has been developed by the Geological Survey of Belgium, specifically for creating forecasts on the deployment of CO2 capture and geological storage (CCS) technologies (Welkenhuysen et al., 2013). In PSS, investment decisions for the full CCS chain are simulated as a forecast in a non-deterministic way, considering uncertainty and flexibility. Especially for matching storage, these elements are essential. While capture in this demonstration project is a given, several scenarios will be analyzed: the current demo-scale, full-scale capture, and CO2-network integration. Due to its location, several CO2 transport options can be considered at the Hannover plant: from low-volume truck, railway or barge transport, up to ships and pipelines. Special attention is given to possible connections with ongoing and planned initiatives for infrastructure and hub development such as the Porthos project in the port of Rotterdam or the Northern Lights project offshore Norway. In the wider area around the capture location, North-Western Europe including the North Sea offshore area, there are many potential storage options available. Offshore storage options will be the primary targets for assessment, with many (nearly) depleted hydrocarbon fields and saline aquifers that are present in the southern North Sea. Storage aspects are treated as stochastic parameters, with for example storage capacity and injectivity of the reservoirs represented by probability density functions. In order to compare storage options, the degree of knowledge, uncertainty and economic and practical development feasibility of such a storage location needs to be assessed. An analysis of such storage classification systems is created by Tovar et al. (this conference). With the above-mentioned PSS method and CCS project development options, source-sink matching is performed to create forecasts on project and network development. Results will provide insight in the probability of preferred storage option development for steering exploration and development efforts, preferred transport modes and routes, the optimal timing of investments, and the influence of market parameters, such as the ETS price of CO2 emissions. Acknowledgments This research is carried out under the LEILAC2 project, which receives funding by the European Union’s Horizon 2020 research and innovation program under grant agreement number 884170. The LEILAC2 consortium consists of: Calix Europe SARL, HeidelbergCement AG, Ingenieurbüro Kühlerbau Neustad GmbH (IKN), Centre for Research and Technology Hellas (CERTH), Bundesanstalt für Geowissenschaften und Rohstoffe (BGR), Politecnico di Milano (POLIMI), Geological Survey of Belgium (RBINS-GSB), ENGIE Laborelec, Port of Rotterdam, Calix Limited, CIMPOR-Indústria de Cimentos SA and Lhoist Recherche et Development SA. References IEA, 2020. Energy Technology Perspectives 2020. https://www.iea.org/reports/energy-technology-perspectives-2020 Tovar, A., Piessens, K. & Welkenhuysen, K., this conference. Ranking CO2 storage capacities and identifying their technical, economic and regulatory constraints: A review of methods and screening criteria. Welkenhuysen K., Ramírez A., Swennen R. & Piessens K., 2013. Strategy for ranking potential CO2 storage reservoirs: A case study for Belgium. International Journal of Greenhouse Gas Control, 17, 431-449. http://dx.doi.org/10.1016/j.ijggc.2013.05.025

Nous présentons les résultats de l'analyse de l'ADN ancien provenant d'un pion d'échecs en ivoire découvert dans une occupation médiévale lors de fouilles archéologiques au pied de l'Enjambée, à Jambes (Namur). Le léger endommagement de la pièce lors des fouilles nous a permis de prélever quelques fragments d'ivoire ne pouvant pas être recollés lors de la restauration. Les analyses ADN nous ont permis de vérifier qu'il s'agit bien d'ivoire d'éléphant et plus précisément, d'un éléphant provenant vraisemblablement de l'est ou du sud de l'Afrique. Nous reconstituons également le trajet le plus probable de l'ivoire en territoire africain.