• Model experiments show that it is possible for us to identify lithology and hydrocarbon conditions in abnormal area in terms of wave field characters and images in different media.

    模型试验表明根据不同介质中的传播规律,使我们可能利用波图像区分异常区的岩性含油气特性

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  • According to BP neural network theory, dual neural network model for lithology identification was established.

    根据BP神经网络原理建立岩性识别双重神经网络模型

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  • Based on seismic lines, hydrocarbon source rock, lithology, thermal stream and test data, a two dimensional forward model of the basin has been made.

    地震主测线为格架,结合岩性热流测试分析资料为依据,采用正演法开展维盆地模拟工作。

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  • One dimensional model can also be used to predicate the lithology and rock facies of formation.

    利用模型可以预测地层岩性相。

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  • Based on the formation lithology characteristics, the PDC bit was optimized from such aspects as the composite block, blade geometry, cutter model, and cutter mechanics balance, etc.

    针对山前构造的地层岩性特征复合刀翼形状齿切削齿平衡等方面设计改进了PD C钻头。

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  • According to the conservation principle of energy and the rock-breaking mechanism of bit, the assessment model was set up for formation lithology and the working condition of bit.

    根据能量守衡原理钻头破岩机理建立地层岩性钻头工况评估模型

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  • According to the conservation principle of energy and the rock-breaking mechanism of bit, the assessment model was set up for formation lithology and the working condition of bit.

    根据能量守衡原理钻头破岩机理建立地层岩性钻头工况评估模型

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