Forecasting zonation of oil-gas prospects in the sedimentary basins of the Northeast Vietnam continental shelf based on gravity and borehole data

Tran Tuan Duong, Tran Tuan Dung, Tran Trong Lap, Tran Hoang Tam, Pham Le Hoang Linh, Nguyen Van Thanh
Author affiliations

Authors

  • Tran Tuan Duong Institute of Marine Geology and Geophysics, VAST, Vietnam; Graduate University of Science
  • Tran Tuan Dung Institute of Marine Geology and Geophysics, VAST, Vietnam; Graduate University of Science
  • Tran Trong Lap Institute of Marine Geology and Geophysics, VAST, Vietnam
  • Tran Hoang Tam Thai Nguyen University of Science, Thai Nguyen, Vietnam
  • Pham Le Hoang Linh Institute of Ecology and Works Protection, Hanoi, Vietnam
  • Nguyen Van Thanh Petroleum Archives Center, Vietnam Petroleum Institute, Hanoi, Vietnam

DOI:

https://doi.org/10.15625/1859-3097/17234

Keywords:

Normalized total gradient, oil/gas prospect, Fourier developed coefficient.

Abstract

This study used the 2D and 3D normalized total gradient (NTG) method of gravity anomalies to detect the gravity anomalies caused by oil-gas reservoirs. The NTG of gravity anomalies can be associated with known oil-gas reservoirs, and most of them seem to be a good coincidence with the reservoirs. The closed minima of the NTG of gravity anomalies indicate the existence and locations of the density deficient anomalies closely related to the possible oil-gas reservoirs. The reliability of the NTG method depends mainly on the Fourier-developed coefficient N. Here, N is optimally selected by the borehole data. The 2D, 3D normalized total gradient method is applied in the sedimentary basins of the Northeast Vietnam continental shelf. Borehole data confirm the results of the method.

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References

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Published

21-06-2022

How to Cite

Tran, T. D., Tran, T. D., Tran, T. L., Tran, H. T., Pham Le, H. L., & Nguyen, V. T. (2022). Forecasting zonation of oil-gas prospects in the sedimentary basins of the Northeast Vietnam continental shelf based on gravity and borehole data. Vietnam Journal of Marine Science and Technology, 22(2), 155–164. https://doi.org/10.15625/1859-3097/17234

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