摘要
根据ＣＢ油田的实际情况，提出了以地震资料应用为基础，结合测井、地质、钻井等资料对油藏进行多层次综合研究的一套方法。主要包括：①利用综合参数法由地震信息预测砂岩发育区，指出勘探目标；②利用地震资料神经网络储层预测方法在砂岩发育区内确定油气富集带和部署探井；③在油气富集带内，利用地震和测井资料完成油井单个砂体的边界确定和厚度定量计算。利用这３ 个层次的地震预测技术逐次解决了宏观的砂体分布、油气富集区带和单砂体定量解释。利用其预测结果所布置的２ 口探井都见到了高产工业油流。
According to the characteristics of CB oilfield, a set of integrated seismic interpretation techniques combined with geology and well logs data are proposed. First, integrated parameters of seismic data are used to predict the areas of development of sand and determine the area of exploration. Then the neural network method for reservoir prediction is used to predict oil accumulation in the area of developing sand. Finaly,the boundaries of every sandbody in the oil accumulation zones around wells are determined, and the thicknesses of reservoirs are calculated. These seismic predicting technologies are used to resolve the distribution of sand body in macrocosm, oil accumulation zone and quantitative interpretation of sand body. According to the prediction result, two evaluated wells have been drilled. The results from the evaluated wells keep consistence with those of prediction.
出处
《石油大学学报（自然科学版）》
CSCD
1999年第5期20-23,共4页
Journal of the University of Petroleum,China(Edition of Natural Science)
关键词
油气聚集带
神经网络
油气资源预测
地震勘探
oil and gas accumulation zone
neural network
reservoir description
sand body thickness
seismic data
quantitative interpretation
oil and gas resource forecast
