山东HM凹陷含油气性综合定量评价
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Quantitative Evaluation of OilGas in the Huiming Hollow, Shandong Province
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    摘要:

    从构造油气藏评价出发,把HM凹陷按构造分区总体划分为凹陷-向斜面、背斜-鼻状-披覆构造、地层超覆缓坡带、断裂陡坡带、隆起-凸起区等五大类。按1:20万比例 尺1cm×1cm进行网格单元划分,对各构造地质体进行变量取值,结合主要生储层沙三岩段的 分布特征、T1—Tr地震反射特征、γ能谱测量和重磁场分析,依据综合评价指标与已知油气 藏之间的内在联系,建立了含油气性圈闭的定量模式。以地质异常值、沙三砂岩含量、沙三 砂岩总厚、沙三泥岩总厚、沙三泥砂比、T1—Tr地震反射等深度、线积分异常、γ能谱测量 异常值、重磁处理有关信息等18个指标作为输入层特征向量,进行了ART和BP人工神经网络含油气性综合评价。含油气性有利度高值区与已知油气田吻合,圈定了进一步油气勘查的有利区17个,据含油气性有利度的大小和所处的地质环境划分出一级有利区9个,二级有利区8个。

    Abstract:

    There are five structure subarea of hollow- syncline, anticline-nose shape, stratum overturn, fault and apophysis or heave by in the Huiming hollow, Shandong province. According to gridding cell of 4 Km2 quantity each structural geology body. Coalescent depth of earthquake reverberation, geophysical anomaly of line integral, radioactivity measure, gravity and magnetic field. Analysis in ternality relation of oil-gas store and geological signals, Founding quantify mo de of oil-gas evaluation. Delineating preferable area of oil-gas by Adaptive Resonance Theory (ART-ANN ) using the eighteen geological variables. A three-layer Back-Propagation (BP) n eural network with one hidden layer is used delineating potential oil-gas area. The input layer consists of the eighteen geological variables. The output is the oil-gas favorable value of awareness cell (between 0 and 1). Based synthesis ch aracteristic analysis and neural network, Trap eight potential areas in the frin ge of hollow, and nine new preferable areas of oil-gas in the north-east and sou th of the Huiming hollow.

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引用本文

陈守余.2000.山东HM凹陷含油气性综合定量评价[J].地质论评,46(supp):106-110,[DOI].
Chen Shouyu.2000. Quantitative Evaluation of OilGas in the Huiming Hollow, Shandong Province[J]. Geological Review,46(supp):106-110.

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