河流相砂体边界预测方法研究

海上油田开发中后期，识别并预测河流相砂体边界是老油田剩余油挖潜中亟待解决的重点问题。由于海上井点少、井距大，砂体尺度小、散度大；密井网条件下的测井方法和常规砂体边界地震识别方法并不适用。基于能反映砂体横向展布的地震属性，使用联合双边滤波、Otsu自适应阈值处理方法及形态学算法改进Canny算子，进行河流相砂体边界的预测，形成了一套自适应、高精度的河流相砂体边界的预测方法。从河流相砂体的沉积特点和演变规律出发，建立了一组正演模型，验证了方法的有效性。将此方法应用于渤海Q油田，在目标层取得了良好的效果。

A review of prediction methods for fluvial sand boundary

In the middle and late stages of offshore oil field development, prediction and delineation of fluvial sand body boundaries become a key problem to be solved for tapping out remaining oil. Comparing to the large well spacing offshore, fluvial sand bodies are too small to be identified with conventional logging and seismic methods commonly used in the onland areas with dense well networks. Based on the seismic attributes which can reflect the lateral spreading of sand bodies, using the methods of joint bilateral filtering, Otsu adaptive threshold processing and morphological algorithm to improve the Canny operator, a set of adaptive and high-precision prediction methods for fluvial sand body boundaries are proposed in this paper. From the depositional characteristics and evolution pattern of fluvial-facies sand bodies, forward models are established to verify the effectiveness of the method mentioned above. The method applied to the target layer in the Q Oilfield of the Bohai Sea is successful.