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A fine assessment technology for medium-high exploration degree plays

机译:一种中高勘探程度的精细评价技术

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The current evaluation methods mainly focus on plays without hydrocarbon discoveries. By integrating three techniques, i.e., spatial quantitative prediction technology of hydrocarbon bearing probability, overlapping processing technology for multi-layer spatial hydrocarbon bearing probability, petroleum resources abundance fractal simulation restricted by corresponding spatial hydrocarbon bearing probability, a new fine evaluation method was put forward. This method, based on spatial grids and combining planar and vertical evaluation results, focuses on the assessment of multi-layer plays. Compared with the present methods, it has advantages such as comprehensive assessment, precise processing results, comprehensive data collection and application, exploration effectiveness. By this Method, 38 secondary structural belts in the middle-upper exploration formations in the Turpan-Hami Basin were evaluated. Favorable drilling areas in each belts were pointed out based on the spatial probability of hydrocarbon bearing. Their corresponding geological favorability index and residual oil resources revealed that the Shengbei, Huoyanshan, Lukeqin, Shanle Structural Belts are the most favorable belts for exploration.
机译:当前的评估方法主要集中在没有发现油气的油气藏上。通过整合含烃概率的空间定量预测技术,多层含烃概率的重叠处理技术,受相应含烃概率限制的石油资源丰度分形模拟等三种技术,提出了一种新的精细评价方法。该方法基于空间网格并结合了平面和垂直评估结果,着重于多层游乐的评估。与现有方法相比,具有综合评价,处理结果准确,数据收集与应用全面,勘探效果好等优点。通过这种方法,对吐鲁番—哈密盆地中上勘探地层中的38个二级构造带进行了评价。根据含碳氢化合物的空间概率,指出了各带中有利的钻探区域。相应的地质有利度指数和剩余石油资源表明,盛北,火岩山,卢克琴,山乐构造带是最有利的勘探带。

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