Seismic characterization of carbonate platforms and reservoirs: an introduction and review

Author:

Hendry James12ORCID,Burgess Peter3,Hunt David4ORCID,Janson Xavier5,Zampetti Valentina6

Affiliation:

1. Iapetus Geoscience Ltd, Unit 7, Watson & Johnson Centre, Mill Road, Greystones, Co. Wicklow, Ireland

2. School of Earth Sciences, University College Dublin, Bellfield, Dublin 4, Ireland

3. School of Environmental Sciences, University of Liverpool, Brownlow Street, Liverpool L69 3GP, UK

4. Equinor, Sandsliveien 90, Sandsli, N-5234, Norway

5. Bureau of Economic Geology, Jackson School of Geosciences, The University of Texas at Austin, Austin, TX 78713, USA

6. Shell Global Solutions, Lange Kleiweg 40, 2288 ER Rijswijk, The Netherlands

Abstract

AbstractImproved seismic data quality in the last 10–15 years, innovative use of seismic attribute combinations, extraction of geomorphological data and new quantitative techniques have significantly enhanced understanding of ancient carbonate platforms and processes. 3D data have become a fundamental toolkit for mapping carbonate depositional and diagenetic facies, and associated flow units and barriers, giving a unique perspective on how their relationships changed through time in response to tectonic, oceanographic and climatic forcing. Sophisticated predictions of lithology and porosity are being made from seismic data in reservoirs with good borehole log and core calibration for detailed integration with structural, palaeoenvironmental and sequence stratigraphic interpretations. Geologists can now characterize entire carbonate platform systems and their large-scale evolution in time and space, including systems with few outcrop analogues such as the Lower Cretaceous Central Atlantic ‘pre-salt’ carbonates. The papers introduced in this review illustrate opportunities, workflows and potential pitfalls of modern carbonate seismic interpretation. They demonstrate advances in knowledge of carbonate systems achieved when geologists and geophysicists collaborate and innovate to maximize the value of seismic data from acquisition, through processing to interpretation. Future trends and developments, including machine learning and the significance of the energy transition, are briefly discussed.

Publisher

Geological Society of London

Subject

Geology,Ocean Engineering,Water Science and Technology

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