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CORRECTION article

Front. Earth Sci., 04 November 2022
Sec. Solid Earth Geophysics
Volume 10 - 2022 | https://doi.org/10.3389/feart.2022.1073465
This article is part of the Research Topic Advanced Methods for Interpreting Geological and Geophysical Data View all 36 articles

Corrigendum: Estimation of porosity and facies distribution through seismic inversion in an unconventional tight sandstone reservoir of Hangjinqi area, Ordos basin

This article is a correction to:

  1. Estimation of porosity and facies distribution through seismic inversion in an unconventional tight sandstone reservoir of Hangjinqi area, Ordos basin

    1. Read original article
Umar Ashraf&#x;Umar Ashraf1†Aqsa Anees&#x;Aqsa Anees1†Wanzhong Shi, Wanzhong Shi2,3*Ren Wang,Ren Wang2,3Muhammad AliMuhammad Ali4Ren JiangRen Jiang5Hung Vo ThanhHung Vo Thanh6Ibrar IqbalIbrar Iqbal7Xiaonan ZhangXiaonan Zhang1Hucai Zhang Hucai Zhang1*
  • 1Institute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environmental Science, Yunnan University, Kunming, China
  • 2School of Earth Resources, China University of Geosciences, Wuhan, China
  • 3Key Laboratory of Tectonics and Petroleum Resources, Ministry of Education, China University of Geosciences, Wuhan, China
  • 4Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan, China
  • 5Research Institute of Petroleum Exploration and Development, Petro-China Company Limited, Beijing, China
  • 6School of Earth and Environmental Sciences, Seoul National University, Seoul, South Korea
  • 7College of Earth Sciences, Guilin University of Technology, Guilin, China

A Corrigendum on
Estimation of porosity and facies distribution through seismic inversion in an unconventional tight sandstone reservoir of Hangjinqi area, Ordos basin

by Ashraf U, Anees A, Shi W, Wang R, Ali M, Jiang R, Vo Thanh H, Iqbal I, Zhang X and Zhang H (2022) Front. Earth Sci. 10:1014052. doi: 10.3389/feart.2022.1014052

In the published article, Figures 2, 4–7 show some resemblance to a recently published article (Anees et al., 2022) as the same data and software were used as part of the authors’ research. Modifications have been made to the figures, which aim to establish that the current study has no resemblance to any of the previously published articles. The colors and layout of Figures 2, 4–7 have been revised by employing the same well, logs, and section locations and zoomed versions of the original figures have been provided. The current study is original and focuses on the porosity and facies estimation of the Hangjinqi area. The corrected Figures 2, 4–7 and their captions appear below.

FIGURE 2
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FIGURE 2. Petrophysical analysis of J32. The highlighted zones show the targeted zone of interest (ZOI). Shihezi-1 formation is a proven reservoir and mostly consists of sand and mud facies. Whereas, Shanxi-2 and Shanxi-shows coal layers, but also shows prominent porous zones. The Taiyuan formation zone shows a thick coal layer and prominent mud facies. The area below the ZOI shows frequent carbonate facies highlighting the marine depositional environment.

FIGURE 4
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FIGURE 4. (A) A inline showing a regional section crossing well J32. Three horizons are marked named T9c, T9d, and T9e. (B) A zoomed section highlights the deflections of P-impedance log within the ZOI. (C) Basemap showing the corresponding studied inline (AB) and well J32.

FIGURE 5
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FIGURE 5. (A) The well editing window shows the synthetic seismogram utilizing the well J32. The first panel shows seismic data from well traces. The second and third panels show synthetics, third shows the correlation between the seismic and synthetics. The highest value shows a good correlation, whereas the lowest value shows a minimum correlation. An overlay log on the correlation panel shows the variations of the RHOB log within ZOI. The last and fourth panel shows the time and P-impedance log of well J32. (B) An average wavelet along with amplitude and phase spectrums were made by utilizing the wavelets of all the studied wells.

FIGURE 6
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FIGURE 6. Low-frequency model of the ZOI that shows the presence of fault truncations and channel-shaped patterns associated with structural variations. A highlighted zone evidently highlights the presence of various lithofacies.

FIGURE 7
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FIGURE 7. (A) Absolute AI broadband model along with the zoomed section on J32 location (B). Bandlimited AI model along with a zoom section. An overlay well J32 on inverted AI models highlights the differences in impedance values. (C) A basemap showing the location of J32 and studied inline for inverted sections.

The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Reference

Anees, A., Zhang, H., Ashraf, U., Wang, R., Thanh, H. V., Radwan, A. E., et al. (2022). Sand-ratio distribution in an unconventional tight sandstone reservoir of Hangjinqi area, Ordos Basin: Acoustic impedance inversion-based reservoir quality prediction. Front. Earth Sci. 10, 1018105. doi:10.3389/feart.2022.1018105

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Keywords: constrained sparse spike inversion, porosity estimation, Shanxi and Taiyuan formations, tight sandstone, Hangjinqi area, Ordos basin

Citation: Ashraf U, Anees A, Shi W, Wang R, Ali M, Jiang R, Thanh HV, Iqbal I, Zhang X and Zhang H (2022) Corrigendum: Estimation of porosity and facies distribution through seismic inversion in an unconventional tight sandstone reservoir of Hangjinqi area, Ordos basin. Front. Earth Sci. 10:1073465. doi: 10.3389/feart.2022.1073465

Received: 18 October 2022; Accepted: 19 October 2022;
Published: 04 November 2022.

Approved by:

Frontiers Editorial Office, Frontiers Media SA, Switzerland

Copyright © 2022 Ashraf, Anees, Shi, Wang, Ali, Jiang, Thanh, Iqbal, Zhang and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Wanzhong Shi, shiwz@cug.edu.cn; Hucai Zhang, zhanghc@ynu.edu.cn

†These authors have contributed equally to this work and share first authorship

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.