Analysis of intelligent drilling and geophysical exploration integration technology and equipment for shallow surface

In shallow geological exploration, drilling and geophysical prospecting are two distinct technical methods that play different roles in the acquisition of geological and geophysical data. With the continuous advancement of modern science and technology, the direction is towards green, intelligent, and precise exploration. Integrating drilling and geophysical prospecting technologies can achieve the acquisition of multiple information parameters, such as the structure and physical properties of rock and soil layers, in a single borehole. This integration provides a foundation for the construction of transparent geological models and the precise identification of underground space information. This paper combines the current state of research and development on integrated drilling and geophysical prospecting technologies and equipment to analyze future development trends of intelligent integrated drilling and geophysical prospecting technologies and equipment for shallow layers. It posits that the current period is crucial for the transition from traditional exploration to green and intelligent exploration. By integrating artificial intelligence, big data, and intelligent transmission technologies, and improving traditional drilling processes, the advantages of combined drilling and geophysical prospecting technologies can be effectively leveraged. This can enhance the level of automated and intelligent exploration of shallow geological conditions, providing new technical support for geological disaster prevention, complex condition engineering exploration, and construction. The technical research and engineering practice significance are substantial. Additionally, the paper offers insights and understandings based on drilling-while-prospecting methods, technologies, equipment, and engineering practices to provide a reference for the future development of precise and intelligent geological exploration.