During oil and gas exploration, the continuous growth of drilling operations imposes urgent requirements on the full life cycle management of drilling tools. To facilitate the direct identification of identity and characteristic data from embedded tags at the wellhead, especially for drilling tools undergoing composite motion at the wellhead, this paper investigates a stationary antenna system based on radio frequency identification (RFID) technology. To overcome challenges under harsh wellhead conditions, such as drilling fluid attenuation, tag polarization mismatch, frequency detuning, and identification blind zones caused by drilling tool movement, this paper establishes the design objectives for a high-gain, circularly polarized, and broadband antenna through electromagnetic field theory analysis. A dual-patch microstrip antenna array is designed accordingly. Simulations demonstrate the effects of critical parameters—such as patch spacing, truncation size, feed point position, and the annular slot—on the antenna’s impedance matching and circular polarization performance. A physical prototype of the antenna was fabricated, and microwave anechoic chamber tests were conducted; the measured results demonstrated strong consistency with the simulation design, achieving a gain of over 11dBi and an AR of less than 3 dB within the 880–950 MHz frequency bandwidth. Furthermore, based on the performance of the antenna unit, a 3D composite motion model of the drilling tool was established, to theoretically derive the strict boundary inequalities between antenna beamwidth, deployment distance, and moving speed. Based on these boundaries, a multi-antenna identification system with a spatiotemporal-synergistic polling strategy was constructed to eliminate dynamic identification blind zones and polarization mismatches with minimal hardware redundancy. Dynamic performance tests and parameter sensitivity analyses are conducted on an indoor rotary table. Conventional general-purpose RFID setups rely on static illumination or manual scanning, which completely fail under fluid-induced frequency detuning and high-speed composite motion. Unlike these setups, the fundamental distinction of the proposed system lies in an application-specific electromagnetic-kinematic mapping mechanism. This approach directly matches asymmetric beam profiling to the strict physical boundaries of wellhead constraints, guaranteeing deterministic identification with zero blind zones. This work lays a solid technical foundation for the wellhead data sensing link in the full life-cycle management of drilling tools, offering promising application prospects at the wellsite.