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24 | Halliburton Landmark Exploration Insights | 25 a b c for gas production; however, the reservoir quality values indicate that the sandstones may have been affected by illitization, which can reduce permeability without critically affecting porosity. When comparing the undeveloped discoveries with the diagenetic effects within the Leman Sandstone, the Glein discovery well report does support this prediction, as illite is present, alongside quartz, siderite, and dolomite. As the Eos discovery well is just south of the Glein discovery, it is no surprise that they show similar diagenetic reservoir patterns. The measured and predicted porosities and permeabilities of the Carboniferous correspond reasonably well. Marjan is the only exception, having significantly poorer porosities and permeabilities than predicted. The Marjan discovery targeted stacked Westphalian channels, and poor porosity and permeability values were not anticipated in this facies. Assuming the sands initially had good reservoir potential, consequent high fluid flow may have resulted in the precipitation of diagenetic minerals, ultimately decreasing the reservoir quality. Broadly speaking, the prediction of reservoir quality from the project analysis is consistent with the data from the undeveloped discoveries. Where reservoir quality is lower than predicted, diagenetic effects are the most likely cause. More detailed analysis of these effects is proposed to allow for better prediction of reservoir quality. CONCLUSION Figure 5> (a) Map of horizontal permeability data for the Permian Rotliegend Group; (b) Map of the diagenetic mineral distribution in the Rotliegend Group Leman Sandstone Formation. Minerals include illite, kaolinite, quartz, siderite, dolomite, and anhydrite; (c) Map of horizontal permeability data for the Carboniferous. The Base Rotliegend Group structure depth map is also shown, for reference. Figure 6> (a) Porosity, and (b) permeability versus depth for the Permian Rotliegend Group and the Carboniferous interval in the Southern North Sea Basin. P10, P50, and P90 cases are shown. completed on the distribution of primary reservoir facies deposits in the basin. More detailed depositional environment maps would aid future exploration and appraisal, reducing risks associated with uncertainty, as well as offering possible secondary objectives to Permian targets. When trying to predict the reservoir quality of a rock unit, burial history, facies distribution, and diagenesis need to be considered. In basins with reservoirs as old as the Permian and Carboniferous, burial histories can be very complex, in turn affecting compaction and diagenetic processes. Therefore, additional work on holistic diagenetic prediction across the Southern North Sea Basin for Permian and Carboniferous deposits is suggested, taking into account the burial history of the basin. ACKNOWLEDGMENTS Additionally, when exploring the reservoir potential of the Carboniferous in the Southern North Sea Basin, further analysis should be Green, P., Duddy, I. & Japsen, P., (2018). Multiple episodes of regional exhumation and inversion identified in the UK Southern North Sea based on integration of palaeothermal and palaeoburial indicators. In: Bowman, M. & Levell, B. (eds), Petroleum Geology of NW Europe: 50 Years of Learning The author acknowledges the help and support of STEPS mentors Lawrie Cowliff, Matthew Booker, and Sarah Laird, and academic mentor, Professor John Howell. REFERENCES Besly, B., (2018). Exploration and development in the Carboniferous of the Southern North Sea: a 30-year retrospective. In: Monaghan, A. A., Underhill, J.R., Hewett, A.J. & Marshall, J.E.A. (eds), Paleozoic Plays of NW Europe. Geological Society, London, Special Publications, 471. – Proceedings of the 8th Petroleum Geology Conference. Geological Society, London, 8, 47–65. Ramm, M., (1992). Porosity-depth trends in reservoir sandstones: theoretical models related to Jurassic sandstones offshore Norway. Marine and Petroleum Geology, 9, 553-567. Oil and Gas Authority, Open Data, https://data-ogauthority. opendata.arcgis.com/ Oil and Gas Authority, National Data Repository, https://ndr. ogauthority.co.uk/ DISCLAIMER This article is a synthesis based upon published data and information, and derived knowledge created within Halliburton. Unless explicitly stated otherwise, no proprietary client data has been used in its preparation. If client data has been used, permission will have been obtained and is acknowledged. Reproduction of any copyrighted image is with the permission of the copyright holder and is acknowledged. The opinions found in the articles may not necessarily reflect the views and/or opinions of Halliburton Energy Services, Inc. and its affiliates including but not limited to Landmark Graphics Corporation.