Skip to main content
Log in

Understanding the Constraints to the Correct Application of the Upward Continuation Operation in Gravity Data Processing

  • Published:
Pure and Applied Geophysics Aims and scope Submit manuscript

Abstract

Analytical simulation of the gravity response due to a square prism buried at known depths has been done and the resulting data have been upward continued to various heights. This was done with the aim of studying the constraints impeding the correct application of the upward continuation filter and the conditions necessary for consistency in the determination of height of upward continuation of gravity field by means of spectral analysis. 3D gravity response of a square prism with known thickness, dimensions and depth of burial was simulated using the expression for the gravity attraction due to a prism. Spectral analysis was then performed on the gravity response data to determine the depth to the top of the prism which was subsequently compared with the value of depth used in the simulation for agreement. Following this, upward continuation operation was performed on the simulated data to a known height such that the total depth to the buried body becomes the sum of depth of burial and the height of upward continuation. Spectral analysis was again performed on the upward continued data in order to compare if the expected total depth to the top of the buried body, which is the sum of the depth to the top of the prism from the ground level and the height of upward continuation, agrees with the depth estimate obtained from spectral analysis. The height of upward continuation at which the depth determined from spectral analysis start to differ significantly was noted. The depth to the top of the square prism was increased in a stepwise manner and the process was repeated. The height of upward continuation at which the depth determined from spectral analysis start to differ significantly was noted for all the various depths of burial as well. Results obtained showed that the computed depth from spectral analysis starts to differ significantly from expected depths at the total depth that is about half of the data grid size. Result also showed that the relationship between the height to which gravity data is upward continued and the true output effect verifiable by spectral analysis method of depth evaluation is ratio 1:1. The study concluded that the upward continuation filter is highly reliable when the aliasing threshold, which is half the data grid size, has not been exceeded.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14

Similar content being viewed by others

Internet Resource

https://tuprints.ulb.tu-darmstadt.de/362/8/chapter4.pdf (accessed on 14/07/2022)

References

  • Baniamerian, J., Liu, S., & Abbas, M. A. (2018). Stable computation of the vertical gradient of potential field data based on incorporating the smoothing filters. Pure and Applied Geophysics, 175, 2785–2806.

    Article  Google Scholar 

  • Barnes, G., & Lumley, J. (2011). Processing gravity gradient data. Geophysics, 76(2), I33–I47.

    Article  Google Scholar 

  • Blakely, R. J. (1988). Curie temperature isotherm analysis and tectonic implications of aeromagnetic data from Nevada. Journal of Geophysical Research: Solid Earth, 93(B10), 11817–11832.

    Article  Google Scholar 

  • Blakely, R. J. (1996). Potential theory in gravity and magnetic applications. Cambridge University Press.

    Google Scholar 

  • Boashash, B. (2015). Time-frequency signal analysis and processing: a comprehensive reference. Academic press.

    Google Scholar 

  • Connard, G., Couch, R., & Gemperle, M. (1983). Analysis of aeromagnetic measurements from the Cascade Range in central Oregon. Geophysics, 48(3), 376–390.

    Article  Google Scholar 

  • Foulger, G. R., & Pierce, C. (2007). Geophysical methods in geology. University of Durham, UK.

    Google Scholar 

  • Friedenthal, S., Moore, A. and Steiner, R. A. (2014). Practical Guide to SysML: the systems modelling language. Morgan Kaufmann; 2014 Oct 23.

  • García-Abdeslem, J., & Ness, G. E. (1994). Crustal structure of the eastern part of the Maya Terrane from magnetic anomalies and magnetic power spectrum inversion. Geofísica Internacional, 33(3), 399–420.

    Article  Google Scholar 

  • Guo, L., Meng, X., Chen, Z., Li, S., & Zheng, Y. (2013). Preferential filtering for gravity anomaly separation. Computers & Geosciences, 51, 247–254.

    Article  Google Scholar 

  • Hahn, A., Kind, E. G., & Mishra, D. C. (1976). Depth estimation of magnetic sources by means of Fourier amplitude spectra. Geophysical Prospecting, 24(2), 287–306.

    Article  Google Scholar 

  • Hornby, P., Boschetti, F., & Horowitz, F. G. (1999). Analysis of potential field data in the wavelet domain. Geophysical Journal International, 137(1), 175–196.

    Article  Google Scholar 

  • Huang, N. E., & Wu, Z. (2008). A review on Hilbert-Huang transform: Method and its applications to geophysical studies. Reviews of Geophysics. https://doi.org/10.1029/2007RG000228

    Article  Google Scholar 

  • Jacobsen, B. H. (1987). A case for upward continuation as a standard separation filter for potential-field maps. Geophysics, 52(8), 1138–1148.

    Article  Google Scholar 

  • Jekeli, C., 1981. The downward continuation to the earth’s surface of truncated spherical and ellipsoidal harmonic series of the gravity and height anomalies. The Ohio State University.

  • LaFehr T. R. and Nabighian, M. N. (2012). Fundamentals of gravity exploration. Geophysical Monograph Series No 17, Society of Exploration Geophysicists, pp. 118–119.

  • Long, J. F. (1995). Complexity, accuracy, and utility of official population projections. Mathematical Population Studies, 5(3), 203–216.

    Article  Google Scholar 

  • Morrison, F., 2012. The art of modeling dynamic systems: Forecasting for chaos, randomness and determinism. Courier Corporation.

  • Nabighian, M. N., Ander, M. E., Grauch, V. J. S., Hansen, R. O., LaFehr, T. R., LI, Y., Pearson, W. C., Peirce, J. W., Phillips, J. D., & Ruder, M. E. (2005). Historical development of the gravity method in exploration. Geophysics, 70(6), 63–89. https://doi.org/10.1190/1.2133785

    Article  Google Scholar 

  • Naidu, P. S. (1972). Maximum likelihood (ML) estimation of depth from the spectrum of aeromagnetic fields. Pure and Applied Geophysics., 95, 141–149.

    Article  Google Scholar 

  • Nordstrom, D. K. (2012). Models, validation, and applied geochemistry: Issues in science, communication, and philosophy. Applied Geochemistry, 27(10), 1899–1919.

    Article  Google Scholar 

  • Okubo, Y., & Matsunaga, T. (1994). Curie point depth in northeast Japan and its correlation with regional thermal structure and seismicity. Journal of Geophysical Research: Solid Earth, 99(B11), 22363–22371.

    Article  Google Scholar 

  • Pawlowski, R. S. (1995). Preferential continuation for potential-field anomaly enhancement. Geophysics, 60, 390–398.

    Article  Google Scholar 

  • Pederson, M. R., & Jackson, K. A. (1991). Pseudoenergies for simulations on metallic systems. Physical Review B, 43(9), 7312.

    Article  Google Scholar 

  • Pilkington, M., & Todoeschuck, J. P. (1990). Stochastic inversion for scaling geology. Geophysical Journal International, 102(1), 205–217.

    Article  Google Scholar 

  • Quartly, G. D., Nencioli, F., Raynal, M., Bonnefond, P., Nilo Garcia, P., Garcia-Mondéjar, A., Flores de la Cruz, A., Crétaux, J. F., Taburet, N., Frery, M. L., & Cancet, M. (2020). The roles of the S3MPC: monitoring, validation and evolution of Sentinel-3 altimetry observations. Remote Sensing, 12(11), 1763.

    Article  Google Scholar 

  • Rawat, K. S., Singh, S. K., Singh, M. I., & Garg, B. L. (2019). Comparative evaluation of vertical accuracy of elevated points with ground control points from ASTERDEM and SRTMDEM with respect to CARTOSAT-1DEM. Remote Sensing Applications: Society and Environment, 13, 289–297.

    Article  Google Scholar 

  • Regan, R. D., & Hinze, W. J. (1976). The effect of finite data length in the spectral analysis of ideal gravity anomalies. Geophysics, 41(1), 44–55.

    Article  Google Scholar 

  • Reilley, K. A., Edwards, S., Peak, R., & Marvis, D. (2016). Methodologies for modelling and simulation in model-based systems engineering tools. AVAA SPACE, 2016, 5469.

    Google Scholar 

  • Reynolds, J. M. (2011). An introduction to applied and environmental geophysics. John Wiley & Sons.

    Google Scholar 

  • Roberts, A. (2001). Curvature attributes and their application to 3 D interpreted horizons. First Break, 19(2), 85–100.

    Article  Google Scholar 

  • Shin, Y. H., Choi, K. S., & Xu, H. (2006). Three-dimensional forward and inverse models for gravity fields based on the fast fourier transform. Computers & Geosciences, 32(6), 727–738.

    Article  Google Scholar 

  • Shuey, R. T., Schellinger, D. K., Tripp, A. C., & Alley, L. B. (1977). Curie depth determination from aeromagnetic spectra. Geophysical Journal International, 50(1), 75–101.

    Article  Google Scholar 

  • Spector, A., & Grant, F. S. (1970). Statistical models for interpreting aeromagnetic data. Geophysics, 35(2), 293–302.

    Article  Google Scholar 

  • Stallone, A., Cicone, A., & Materassi, M. (2020). New insights and best practices for the successful use of empirical mode decomposition, iterative filtering and derived algorithms. Scientific Reports, 10(1), 1–15.

    Article  Google Scholar 

  • Swanson, D. A. (2015). On the relationship among values of the same summary measure of error when used across multiple characteristics at the same point in time: an examination of MALPE and MAPE. Review of Economics and Finance, 5(1), 1–14.

    Google Scholar 

  • Telford, W. M., Geldart, L. P., & Sheriff, R. E. (1990). Applied Geophysics (2nd ed., pp. 32–44). Cambridge University Press.

    Book  Google Scholar 

  • Willmott, C. J., & Matsuura, K. (2005). Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance. Climate Research, 30(1), 79–82.

    Article  Google Scholar 

  • Xu, D., & Zeng, H. (2000). Preferential continuation and its application to Bouguer gravity anomaly in China in Chinese with English abstract. Geoscience, 14, 215–222.

    Google Scholar 

  • Xu, S. Z., Yang, J., Yang, C., Xiao, P., Chen, S., & Guo, Z. (2007). The iteration method for downward continuation of a potential field from a horizontal plane. Geophysical Prospecting, 55(6), 883–889.

    Article  Google Scholar 

  • Yilmaz, O. Z. (2001). Seismic data analysis: Processing, inversion, and interpretation of seismic data. Society of exploration geophysicists.

  • Zeng, H., & Xu, D. (2001). Discussion on “Preferential continuation for potential-field anomaly enhancement” (R. Pawlowski, Geophysics, 60, 390–398). Geophysics, 66, 695–697.

    Article  Google Scholar 

  • Zeng, H., Xu, D., & Tan, H. (2007). A model study for estimating optimum upward-continuation height for gravity separation with application to a Bouguer gravity anomaly over a mineral deposit, Jilin province, northeast China. Geophysics, 72(4), 145–150.

    Article  Google Scholar 

Download references

Funding

The authors declare that no funds, grants, or other support were received during the preparation of this manuscript.

Author information

Authors and Affiliations

Authors

Contributions

BOB conceptualised, supervised, validated the results and wrote the write-up; OFA simulated the prisms numerically, did part of the modeling and spectral analysis; NAD did part of the modeling and spectral analysis.

Corresponding author

Correspondence to Oluwatimilehin B. Balogun.

Ethics declarations

Conflict of Interest

The authors have no relevant financial or non-financial interests to disclose.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Appendix

Appendix

Tables of Values Generated for Gravity Response Simulated for a Buried Square Prism at Varying Depths of Burial (Tables 7, 8, 9)

Table 7 Table of Value Generated for Depth of Burial of 500 m, CSA of 25,000,000 m2, Density Contrast of 330 kgm−3 and Thickness of 250 m
Table 8 Table of Value Generated for Depth of Burial of 2000 m, CSA of 225,000,000 m2, Density Contrast of 330 kgm−3 and Thickness of 1000 m
Table 9 Table of Value Generated for Depth of Burial of 6000 m, CSA of 225,000,000 m2, Density Contrast of 330 kgm−3 and Thickness of 3000 m

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Balogun, O.B., Akereke, O.F. & Nwobodo, A.D. Understanding the Constraints to the Correct Application of the Upward Continuation Operation in Gravity Data Processing. Pure Appl. Geophys. 180, 3787–3811 (2023). https://doi.org/10.1007/s00024-023-03348-1

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00024-023-03348-1

Keywords

Navigation