Joint Inversion of Gravity and Gravity Gradient Data Based on Cross-Gradient Function

• Published in: IEEE sensors journal Vol. 24; no. 13; pp. 20940 - 20948
• Main Authors: Qiao, Zhong-Kun, Zhang, Zong-Yu, Hu, Ruo, Shen, Zheng-Hao, Yuan, Peng, Zhou, Hang, Huang, Xin-Yi, Zhou, Fei, Shi, Hui-Yan, Wu, Xue-Min, Wu, Bin, Wang, Xiao-Long, Lin, Qiang
• Format: Journal Article
• Language: English
• Published: New York IEEE 01-07-2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Accelerometers; Cross-gradient function; Domes; Geologic measurements; Geophysical measurements; Geophysical methods; Gravity; gravity and gradient data; Horizontal orientation; Instruments; Inversions; joint inversion; Mineral resources; Sensors; Tensors; Vinton Dome
• ISSN: 1530-437X; 1558-1748
• DOI: 10.1109/JSEN.2024.3398301

Gravity exploration is one of the most commonly used geophysical exploration methods, and it is widely used in the field of mineral resources' exploration and engineering survey benefited from its advantages of large exploration depth, economy, and high efficiency. Gravity and its gradient data reflect the different distribution characteristics of subsurface anomalous objects, and therefore, the single data inversion cannot achieve an accurate identification for the underground objects and suffer from stronger nonuniqueness problems. To accurately identify the location and distribution characteristics of subsurface objects, we first construct models to perform separate inversions of gravity and gravity gradient data, analyze the identification ability of different anomaly components, and then innovatively introduce a cross-gradient function for the joint inversion of two gravity tensor data, <inline-formula> <tex-math notation="LaTeX">{V}_{ {xx}} </tex-math></inline-formula> and <inline-formula> <tex-math notation="LaTeX">{V}_{ {yy}} </tex-math></inline-formula>. The results show that the method combines the advantages of these two components and reflects the horizontal position of the targeted bodies more accurately; meanwhile, the portrayal of the boundary is also closer to the real model. Finally, we apply the above method to the Vinton Dome, and the inversion results recover the accurate spatial location of the Vinton Dome. The practical application results show that the joint cross-gradient inversion of gravity and gravity gradient data is more efficient for spatial location trapping and boundary inscription of subsurface targeted bodies compared with the inversion of individual component.