马家嘴油田戴南组断裂发育，油藏类型以构造-岩性油藏为主。储层具有纵向厚度薄、横向分布变化快的特点，对储层预测的精度要求较高，常规的地震反演方法难以满足需求。为解决此问题，采用了波形指示模拟方法对研究区薄储层进行预测，此方法以波形相控为指导，通过地震波形在横向上的变化代替变差函数，对目标参数进行模拟，从而得到更符合沉积地质规律的高精度反演结果。利用研究区内开发井多且密的优势，综合地质、地震和测井资料，优选对储层敏感的自然电位曲线进行波形指示模拟，对主力含油砂组展布进行预测；结合反演结果对参与运算井、后验井及过断层井进行分析，表明波形指示模拟具有较高的纵向和横向分辨率，能够较精细反映储层的空间变化；提取主要含油砂组平面展布图，与研究区的沉积规律相符，结合油层分布图对目标含油砂组分布进行了重新认识，认为马3断层下降盘向西具有滚动扩边潜力。

Dainan Formation in Majiazui Oilfield is characterized by developed fractures and is primarily composed of structural-lithologic reservoirs. The reservoirs exhibit thin vertical thickness and rapid lateral distribution changes, demanding high precision in reservoir prediction, which conventional seismic inversion methods struggle to meet. To address this challenge, the waveform indication simulation method was employed for thin reservoir prediction in the study area. This method, guided by waveform coherency, uses changes in seismic waveforms laterally instead of variogram functions to simulate target parameters, yielding high-precision inversion results that better conform to sedimentary and geological laws. Taking advantage of the dense and numerous development wells in the study area, and integrating geological, seismic, and well logging data, the spontaneous potential curve, which is sensitive to the reservoir, was selected for waveform indication simulation. This approach was used to predict the distribution of the main oil-bearing sand groups. The inversion results were analyzed in conjunction with the computation wells, check wells, and cross-fault wells, indicating that the waveform indication simulation has high vertical and lateral resolution. It can finely reflect the spatial variation of the reservoir. The main oil-bearing sand group's planar distribution was extracted and found to be consistent with the sedimentary patterns of the study area. Combined with the oil layer distribution map, the target oil-bearing sand group's distribution was re-evaluated, suggesting potential for rolling extension to the west beneath the Ma3 fault. This insight could guide further exploration and development strategies in the Majiazui Oilfield.