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Bed boundary identification from well log data using Walsh transform technique: A case study from NGHP Expedition-02 in the Krishna–Godavari basin, India

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Abstract

Identification of thin stratigraphic beds is often dealt with using the scale of core data analysis. The downhole wireline log data also provide accurate information on the characteristics of lithological boundaries. In the present study, we have used a Walsh low pass filter and bed boundary detection algorithm to develop an automated bed boundary identification approach. Initially, we ran a Walsh low pass filter against the wireline log responses. Afterwards, a bed boundary detection algorithm has been applied to the Walsh low pass filtered version of the wireline log data. The Walsh domain filter creates a stepped version of the well log data having a constant step width over the entire low pass version of the log signal. As the Walsh function basically represents the binary waveforms, the Walsh low pass filtering can appropriately identify the thin lithological units within a complex succession of sedimentary strata. Further, the proposed approach is an efficient way of resolving and understanding subsurface inhomogeneity from wireline log data. The feasibility of the technique is successfully tested on the downhole wireline log data acquired from the Krishna–Godavari basin during the Expedition 02 of Indian National Gas Hydrate Program (MGHP).

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Acknowledgements

We are thankful to the director, CSIR-National Geophysical Research Institute, Hyderabad for permission (Ref. No: NGRI/Lib/2019/Pub-54), and place a record of gratitude to the Director, Wadia Institute of Himalayan Geology to publish this work. We are grateful to the Ministry of Petroleum and Natural Gas (Government of India), Oil India Limited (OIL), Gas Authority of India Limited (GAIL), Indian Oil Corporation Limited (IOCL) and all other NGHP partner organisations for providing the opportunity to contribute to the NGHP-02 Expedition. The technical and science support from Japan Agency for Marine-Earth Science and Technology (JAMSTEC), United States Geological Survey (USGS), U.S. Department of Energy (US-DOE), the National Institute of Advanced Industrial Science and Technology (AIST), Geotek Coring and Schlumberger is gratefully acknowledged. The author also acknowledges the anonymous reviewers for improving the manuscript. Bappa Mukherjee, gratefully acknowledges the Science and Engineering Research Board (SERB/PDF/2017/001331), the Government of India, for sponsoring this work. The Ministry of Earth Sciences is acknowledged for extending support in pursuing the research on gas hydrates at CSIR-NGRI. This is contributed to the in-house project MLP-6402-28(KS).

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Authors and Affiliations

  1. Seismic Group, CSIR-National Geophysical Research Institute, Uppal Road, Hyderabad, 500 007, India

    Bappa Mukherjee & Kalachand Sain

  2. Wadia Institute of Himalayan Geology, 33, General Mahadeo Singh Road, Dehradun, 248 001, India

    Kalachand Sain

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  1. Bappa Mukherjee
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  2. Kalachand Sain
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Correspondence to Kalachand Sain.

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Communicated by N V Chalapathi Rao

Corresponding editor: N V Chalapathi Rao

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Mukherjee, B., Sain, K. Bed boundary identification from well log data using Walsh transform technique: A case study from NGHP Expedition-02 in the Krishna–Godavari basin, India. J Earth Syst Sci 128, 214 (2019). https://doi.org/10.1007/s12040-019-1240-4

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  • DOI: https://doi.org/10.1007/s12040-019-1240-4

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