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塔里木盆地地质情况复杂，油气类型多种多样，目前已在多套层系发现了凝析油气藏；利用常规测井资料解释评价油气层，能够有效地识别并确定油气层和水层的界限，但却无法区分气层还是油层，以及如何准确划分油、气界面。电缆重复地层测试测井通过测量地层压力，建立压力—深度剖面，根据其压力梯度变化估算出地层流体性质，划分油、气水界面；中子、密度测井测量的地层含氢指数与地层介质的电子密度指数由于氢元素的存在而体现了很好的相关性，利用该相关性质可以确定地层液体含量（孔隙度），识别流体类型；偶极横波成像测井提供了当今测量地层纵波、横波和斯通利波的最好方法，通过对全波的处理，可以提取大量的岩石机械特性，由于气层对纵横波速度的影响不同，因此可以利用纵横波速度比、泊松比来直观识别油气层，划分油、气界面。通过对以上测井方法基本理论的阐述，并在实例中应用新方法解决了常规测井资料无法解决的难题。研究结果表明，利用测井新技术、新思路，结合常规测井资料能够有效识别凝析气层，准确划分油气界面。
Tarim Basin is characterized by complex geological conditions and various oil and gas types. Currently, condensate reservoirs have been found in multiple sets of formations. Using conventional well logging data to interpret and evaluate oil and gas reservoirs can effectively identify and determine boundaries between oil and gas reservoirs and water layers, However, it is impossible to distinguish between gas and oil layers and how to divide oil and gas interfaces accurately. The cable repeated formation test logs the formation pressure-depth profile by measuring the formation pressure, and estimates the fluid properties of the formation based on the pressure gradient changes. It divides the oil-gas-water interface; the neutron-density log measures the formation hydrogen index and formation media The electron density index shows a good correlation due to the presence of hydrogen. With this correlation property, the liquid content (porosity) of the formation can be determined and the fluid type can be identified. The dipole shear imaging logging provides the basis for measuring the compressional and shear waves And Stoneley wave through the full-wave processing, can extract a large number of mechanical properties of the rock, because the impact of the gas layer on the S-wave velocity is different, so you can use P-wave velocity ratio, Poisson’s ratio to visually identify Oil and gas layer, divided oil, gas interface. Through the above description of the basic theory of logging methods, and application of new methods in examples to solve the conventional logging data can not be solved. The results show that the use of new logging technology, new ideas, combined with conventional logging data can effectively identify condensate layer, accurate division of the oil-gas interface.