Cracks and pores coexist in carbonate reservoirs, and this complex pore structure has a significant impact on acoustic and resistivity logging. Making full use of acoustic and electrical well logging data can help to identify carbonate gas reservoirs. First, this paper studies the controlling effects of different lithologies on the acoustic velocity according to the elastic theory of porous and fractured media based on joint acoustic-resistivity rock physics measurement experiments. At the same time, a theoretical gas-bearing reservoir identification template is established based on acoustic experimental data, and the gas-bearing reservoir identification template is used to qualitatively identify a gas reservoir. Then, the empirical relationship between the acoustic velocity and resistivity is derived based on the Archie equation. It is found that the formation P-wave velocity and resistivity have a power function relationship in the research area. Based on the above research, a quantitative identification template for gas-bearing reservoirs is established. The case study has verified the reliability of the gas-bearing carbonate reservoir identification method based on the above two methods.

碳酸盐岩储层裂缝和孔隙并存，这种复杂的孔隙结构对声学和电阻率测井具有重要影响。充分利用声电测井数据有助于识别碳酸盐岩气藏。首先，本文在声阻岩石物理联合测量实验的基础上，根据多孔裂隙介质的弹性理论，研究了不同岩性对声速的控制作用。同时，基于声学实验数据建立了理论含气储层识别模板，并利用含气储层识别模板对气藏进行定性识别。然后，基于阿尔奇方程推导出声速和电阻率之间的经验关系。研究区发现地层纵波速度与电阻率存在幂函数关系。在上述研究的基础上，建立了含气储层定量识别模板。案例研究验证了基于上述两种方法的含气碳酸盐岩储层识别方法的可靠性。