基于测录井资料的气油比定量计算方法

气测录井技术在识别复杂流体性质上发挥着越来越重要的作用。常规油气藏与复杂油气藏在测井和录井上的响应特征具有一定的相似性，利用常规测井方法或录井方法定量区分复杂储层困难较大。目前国内主要应用测井资料定量计算气油比从而识别流体性质，应用录井资料较少。研究发现，录井资料能更直观地反映地质特征与含油性特征。综合分析不同储层流体气测录井曲线响应特征，引入反映储层流体中轻烃组分与重烃组分相对含量的气测派生参数Ha、Hb，建立气测派生参数Ha、Hb与气油比的相关关系式。将相关关系式应用于最优化理论中，建立录井响应方程式，结合测井响应方程式求出储层中各组分相对含量，通过地层组分分析程序与最优化理论精确计算气油比。应用结果表明，综合测录井资料的气油比定量计算方法能精确计算气油比，且其计算结果与实际测试资料结论相符，为复杂流体性质的识别提供了有力的技术支撑。

Quantitative calculation method of gas-oil ratio in gas logging data

Gas logging technology plays an increasingly important role in identifying complex fluid properties. The response characteristics of conventional reservoirs and complex reservoirs are similar in logging and gas logging. It is difficult to quantitatively distinguish complex reservoirs by conventional logging or gas logging methods. At present, logging data are mainly used to quantitatively calculate gas-oil ratio in order to identify fluid properties in China, but gas logging data are seldom used. It is found that gas logging data can more directly reflect geological characteristics and oiliness characteristics. By comprehensively analyzing the response characteristics of gas logging curves of different reservoir fluids, introducing gas logging derivative parameters Ha and Hb reflecting the relative content of light hydrocarbon components and heavy hydrocarbon components in reservoir fluids, the correlation between gas logging derivative parameters Ha, Hb and gas-oil ratio is established. The correlation formula is applied to the optimization theory, the gas logging response equation is established, and the relative content of each component in the reservoir is calculated by gas logging and logging response equation. The gas-oil ratio is accurately calculated by the formation component analysis program and the optimization theory. The application results show that the gas-oil ratio quantitative calculation method by comprehensive gas logging and logging data can accurately calculate the gas-oil ratio, and the calculation results are consistent with the actual test data, which provides a powerful technical support for the identification of complex fluid properties.