Xiaogui Miao

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Xiaogui Miao
Xiaogui-Miao.jpg
PhD Geophysics
PhD university University of Manitoba

Xiaogui Miao has extensive experience in land 3D3C and Ocean Bottom Sensor (OBC & OBN) 3D4C imaging from North America to the Asia Pacific (APAC) region. After graduation from the University of Manitoba, Canada with a PhD in Geophysics (1994), Xiaogui Miao joined Veritas Geophysical Services Ltd. in Calgary as a geophysical research scientist. In 2008, after Veritas and CGG merged, she became the research and processing center manager at CGG’s newly opened Beijing Center. In 2015, she moved to Singapore, the APAC Hub of CGG, where she has since been in charge of multi-component and seabed imaging research.

Miao has developed a variety of multi-component processing and imaging technologies and published many articles. Her recent research has involved the development of surface wave and guided wave inversions for shear wave statics correction and shallow Vs and Vp model building, PS wave OBS data velocity analysis from rough seafloors, and incorporating of PP and PS data for wavefield leakage reduction. She also has played as a crucial role in providing technical advice and supervision to overcome serious challenges in different types of multi-component processing and imaging projects in the APAC region from land to OBC/OBN and from shallow water to deep water. Her areas of study have covered Cuu Long Basin, offshore Vietnam, Malaysia basins, Indonesia’s LNG and gas fields, Bohai Bay, Offshore South China Sea, and Xinjiang of Northwest China. To demonstrate the values of multi-component technology, she has pushed converted wave imaging into joint PP-PS inversion for reservoir characterization so to enhance the opportunities of hydrocarbon discovery as well.

Miao’s early research activities include converted wave prestack time and depth migrations in TTI/VTI media, surface consistent PP/PS wave imaging from rough topography, azimuthal anisotropic PP/PS wave velocity analysis and shear-wave splitting analysis, mirror imaging and multi-component VSP. She has also pioneered the converted wave true amplitude weight for converted wave pre-stack time and depth migrations, which ensures to produce reliable amplitude information for converted wave imaging and subsequent PP/PS reservoir characterization. Her early research also involved developing P-wave prestack anisotropic time and depth migrations for land data with rough topography and crooked survey geometry, as well as non-orthogonal, 1D and 2D orthogonal, bi-orthogonal wavelet transform algorithms for random and coherent noise attenuation and seismic attribution analysis, high-resolution matching pursuit spectral decomposition for 4D processing, etc.

2021 SEG Honorary Lecturer, Pacific South

From multi-component imaging to ocean bottom seismic technology- challenges or opportunities?

Multi-component imaging technology has experienced up and down cycles in the past decades. Even though people were excited by the capability of PS wave imaging through gas cloud structures 20 years ago, oil companies are still hesitant to put the technology into practice over many years due to complicated imaging technology, long processing cycles, and economic consideration.

However, in recent years, as ocean bottom seismic (OBS) acquisition and imaging technology have been incessantly developing, multi-component imaging technology has attracted more and more attention, and made its way from pre- mature to gradually maturing. Successful case studies, such as converted wave imaging under gas clouds, fracture detection using shear wave splitting, and joint PP-PS inversion to identify potential reservoirs, have been demonstrated worldwide, especially in the Asia Pacific region where gas clouds are always a troublesome problem in P-wave imaging.

Because of complex processing workflows, multi-parameters, and uncertainties involved in velocity model building and imaging, there are serious challenges in multi-component processing, particularly in converted wave imaging. In this lecture, I will provide an overview of a variety of challenges, key processing steps, and recent advances in converted-wave imaging, which not only have significantly improved the quality of converted wave images but also greatly reduced processing turnaround times. New developments including how to use multi-modal surface wave inversion to derive high resolution shallow S-wave velocity models, which remarkably resembled the near seafloor geologies and provided a solution for shear statics and shallow Vs depth model building; PS wave OBS data velocity analysis in shallow and deep water environments; fracture detection using combined shear wave splitting analysis and depth imaging; wavefield leakage and multiple reductions incorporating with PP and PS data; joint PP-PS tomography to build depth velocity model; and joint PP-PS inversion for reservoir characterization will be explored and illustrated with both land and OBN/OBC survey examples. These examples cover from Cuu Long Basin, Offshore Vietnam, Malaysia Basins, Indonesia’s LNG, and gas fields to Zunger Basin, NW China, etc. They have demonstrated that the converted wave imaging can certainly provide valuable information to enhance the successes in the discovery of potential hydrocarbon prospects. What we gain from multi-component technology is not only like seeing the images from black-white pictures to colored pictures, as people often described, but also are the insights into some structures which were unseen before in P-wave images because of different lithological responses of P- waves and Shear movements.

HL-Miao-fig.jpg

Additional Resources

A recording of the lecture is available.[1]

Listen to Miao discuss her lecture in The low-cost/high-reward for using multi-component imaging, Episode 107[2] of Seismic Soundoff, in-depth conversations in applied geophysics.

References

External links

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Xiaogui Miao
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