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由于地震资料主频不高,分辨率有限,对一些薄储层和地震上没有响应的储层无法有效进行预测,因此科研人员开始利用频谱分析进行烃类检测和储层预测的研究。频谱分解技术是源于BP石油公司的一种基于频率域的储集层解释新技术,它利用短时窗傅里叶变化技术把目标地质体从时间域转换到频率域进行识别,从而更好地确定储集层几何形态,改善地震分辨率。该技术被广泛用于刻画横向上不连续的地质异常体、预测薄储集层结构以及判断沉积环境等方面,在A气田的储层预测工作中取得了良好的应用效果。
Due to the low frequency of seismic data and the limited resolution, some reservoirs and seismic unresponsive reservoirs can not be predicted effectively. Therefore, researchers started to use spectrum analysis to study hydrocarbon detection and reservoir prediction. Spectrum decomposition technique is a BP based oilfield based on the frequency domain of reservoir interpretation of new technologies, which use the short-time Fourier transform technology to target geology from the time domain to frequency domain to identify, so as to better Determine reservoir geometry and improve seismic resolution. This technique has been widely used to characterize the laterally discontinuous geological anomalies, predict the structure of thin reservoirs and determine the depositional environment. It has achieved good results in reservoir prediction in A field.