Abstract
We approach the problem of identifying the stratigraphic markers using seismic data in automated mode. This automation would be achieved through the application of correlation exponent and its double derivative for the first time. Prominent contrasts derived from correlation exponents from seismic trace are associated with the different stratigraphic layers that help to isolate these layers. Further explicit analysis of double derivative of correlation exponent aids to segregate the un-compacted and compacted sediments. The feasibility and reliability of the proposed technique were tested over the seismic traces of Taranaki Basin. 48 seismic traces traversing the various geological features identified by earlier researchers in the field were selected. The combined interpretation of the anomalous value of correlation exponent and their double derivative for the seismic traces indicate the prominent geological features: progradation surfaces, bright spots, sedimentary packages and faults. This study presents a tool for automated seismic interpretation and reservoir characterization. The overall success in identification of various features by correlation exponent is about 77.3%.
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(modified after Chenrai 2016)
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Acknowledgements
Authors are grateful to the Society of Exploration Geophysicist for making the seismic data freely available (https://wiki.seg.org). We are grateful to the dGB Earth Sciences for providing an academic license of OpendTect software. We are also thankful to New Zealand Petroleum and Minerals Online Exploration Database for providing information and data for Arawa-1 well. Authors also acknowledge IIT, Kharagpur ISIRD sponsored project (code ERG) for providing the computing facility. Authors acknowledge the Editor in Chief Prof. Claudio Lo Iacono and anonymous reviewers for their valuable constructive suggestions that improved the manuscript substantially.
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Karmanov, P., Roy, P.N.S., Rangarajan, S. et al. Automated seismic horizon recognition from seismic data using correlation exponent and its double derivative: a case study of Parihaka field, Offshore Taranaki Basin, New Zealand. Mar Geophys Res 42, 37 (2021). https://doi.org/10.1007/s11001-021-09462-w
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DOI: https://doi.org/10.1007/s11001-021-09462-w