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A new method of deep carbonate lithology identification at the Tadong uplift in the eastern section of the Tarim Basin

机译:塔里木盆地东部塔东隆起深部碳酸盐岩岩性识别的新方法

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摘要

The lithology identification of deep carbonate rocks has always been a difficult field of research. The deep carbonate rock formations in the eastern section of the Tarim Basin have complex tectonism, deposition, and diagenesis. Therefore, it is difficult to use conventional logging information to identify the lithology of deep carbonate rocks. In this study, a natural gamma ray spectrometry log in unconventional logging was used to discover a new method (comprehensive superposition method) for the lithology identification of deep carbonate rocks. The research results showed that the TH, U, K, and KTH information in a natural gamma ray spectrometry log can reflect the lithological characteristics of carbonate rocks extremely well. In addition, this new identification method was able to optimize the typical logging parameters which could best reflect the lithology of the carbonate rocks after analyzing the original record curve and a variety of combined curves of the natural gamma ray spectrometry. This new method could comprehensively superpose the typical logging parameters and was capable of finally quantitatively identifying the lithology of dolomite, micrite, calcarenite, and finely crystalline limestone in deep carbonate rocks, with an identification accuracy of more than 79 %. On the basis of the above research results, a special statistical method was made to analyze the typical logging parameters of natural gamma ray spectrometry and to assist and test the identification of a comprehensive superposition method, in order to improve the lithology identification accuracy. This new method for the lithology identification of deep carbonate rocks, based on a natural gamma ray spectrometry log, achieved good application effects in the eastern section of the Tarim Basin.
机译:深层碳酸盐岩的岩性识别一直是研究的难题。塔里木盆地东部深层碳酸盐岩地层具有复杂的构造,沉积和成岩作用。因此,难以使用常规的测井信息来识别深部碳酸盐岩的岩性。在这项研究中,自然伽马射线光谱测井在非常规测井中被用来发现一种新的方法(综合叠加法)来识别深部碳酸盐岩的岩性。研究结果表明,自然伽马能谱测井仪中的TH,U,K和KTH信息可以很好地反映碳酸盐岩的岩性。此外,这种新的识别方法在分析原始伽马射线光谱法的原始记录曲线和各种组合曲线之后,能够优化典型的测井参数,从而最能反映碳酸盐岩的岩性。这种新方法可以全面叠加典型的测井参数,最终能够定量地识别深部碳酸盐岩中的白云岩,云母,钙钙石和微晶石灰岩的岩性,识别精度达79%以上。在以上研究成果的基础上,采用特殊的统计方法分析了自然伽马射线能谱法的典型测井参数,并协助和测试了一种综合叠加法的识别方法,以提高岩性识别的准确性。这种基于天然伽马能谱测井的深层碳酸盐岩岩性识别新方法在塔里木盆地东部地区取得了良好的应用效果。

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