Oil and gas recognition model training method, recognition method, system, equipment and medium

The invention relates to an oil and gas recognition model training method, recognition method, system, equipment and medium, and belongs to the technical field of oil and gas exploration, the method comprises the steps that historical seismic trace data are acquired, the historical seismic trace data comprise a plurality of data curves, and each data curve has a corresponding oil and gas label; the oil-gas label is used for representing whether the position corresponding to the data curve contains oil; extracting feature data of different time windows in the data curve, and splicing the different feature data to obtain a plurality of feature combinations; performing model training on different feature combinations to obtain prediction models corresponding to the feature combinations; and determining an oil and gas identification model according to the prediction accuracy of the prediction model. The method has the effect of improving the underground oil gas prediction accuracy. 本申请涉及一种油气识别模型训练方法、识别方法、系统、设备及介质