SOFM储层综合评价方法及其在延吉盆地的应用

Self-Organizing Feature Map(SOFM) Neural Network Method in Reservoir Quality Synthetic Evaluation and Its Application in Yanji Basin

通过对已有储层评价方法优势与不足的分析,提出在空间数据库基础上应用自组织特征映射神经网络进行油气储层评价,并对延吉盆地大砬子组储层进行了评价。评价结果显示:Ⅰ级储集层主要发育于朝阳川凹陷中央—延D4井西缘、呈椭圆状分布,朝阳川凹陷西缘即延D6、延3之间呈月牙状分布;Ⅱ级储集层区块较大,分布集中在朝阳川凹陷周缘及帽儿山凸起,在清茶馆凹陷的东缘、南缘和德新凹陷的北缘呈不规则分布;Ⅲ级主要发育于朝阳川凹陷中央-朝阳川镇南部,清茶馆凹陷东缘,呈条带、小块状零星分布,德新凹陷大部呈不规则分布;Ⅳ级主要发育于西部隆起区、练花洞单斜一带,在茶清馆凹陷中央也有零星分布;其它地区是储层物性发育较差的Ⅴ级。

Beginning with analyzing advantage and disadvantage of the existing methods used in the reservoir quality synthetic evaluation, the authors put forward to applying SOFM （self-organizing feature map） neural network method to be used in the oil reservoir quality synthetic evaluation on spatial database and have appraised the Dalazi group reservoir of the Yanji basin using the method proposed. The results indicate that the first category reservoirs were mainly developed in the Chaoyangchuan central-depression and at the western margin of Yan- D4 well with oval-shaped distribution pattern and at the western margin of the Chaoyangchuan depression - that is , in between Yan- D6 and Yan - 3 with crescent-shaped distribution pattern; The blocks of the second category reservoirs were quite big and they are collectively distributed at the peripheral of the Chaoyangchuan-depression and the Maoershan bulge, are irregularly distributed at the eastern and southern margins of the Qingchaguan depression and at the northern margin of the Dexin depression; The third category reservoirs were mainly developed in the Chaoyangchuan central-depression and to the south of the Chaoyangchuan Town, and they are also distributed at the eastern margin of the Qingchaguan depression as small, sporadic strips and patches; and also irregularly distributed in the Dexin depression; The fourth category reservoirs are mainly developed in the western uplift and the Lianhuadong ramp area, also are sporadically distributed in the center of the Qingchaguan depression; Areas belong to the fifth category of poor reservoirs.