Methodology of Calculating Oil Saturation and the GOR of Shale Based on Logging Data
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摘要:
为解决利用地化热解参数计算页岩含油饱和度精度达不到要求的问题，在页岩油重点取心井测录井资料基础上，提出以岩心分析含油饱和度与热解分析含油饱和度的比值作为刻度系数，对热解法含油饱和度计算模型进行校正。实例分析表明，利用改进热解法含油饱和度计算模型计算出含油饱和度的精度达到了要求。为解决利用气测值计算页岩气油比不准确的问题，建立了基于录井资料和测井资料的2种气油比计算方法，第1种方法通过对气测全烃曲线进行井径、钻时、排量、取心和气测基值等诸多因素的环境校正，根据气油比的定义，构建了利用多组分法计算气油比的模型，同时也探索了烃湿度法与平衡值法在气油比计算中的应用；第2种方法从测井资料出发，建立了基于成熟度指数IM的气油比计算模型。实例处理表明，建立的2种气油比计算方法简单实用，且这2种方法互为补充，进而提高气油比的准确度。研究表明，采用基于测录井资料计算页岩含油饱和度与气油比的方法计算页岩含油和度和气油比，可以提高页岩含油饱和度的精度和气油比的准确度。
Abstract:Because the accuracy of shale oil saturation calculated with geochemical pyrolysis parameters fails to meet agreed-upon requirements, the logging data of key shale oil core wells were utilized, and the ratio of oil saturation from core analysis to that from pyrolysis analysis was proposed as the scale coefficient, so as to correct the model of calculating oil saturation by pyrolysis. The case example analysis shows that the accuracy of the oil saturation calculated by the improved oil saturation calculation model by pyrolysis meets the requirements. In order to solve the problem of the inaccurate gas-oil ratio (GOR) of shale calculated with gas measurement values, two GOR calculation methods based on logging data were established. In the first method, ambient corrections of many factors such as well diameter, drilling time, discharge, core, and basic gas measurement value were carried out on the gas measurement total hydrocarbon curve. According to the definition of the GOR, the model of calculating the GOR with a multi-component method was established, and the applications of the hydrocarbon moisture method and balancing value method in the calculation of the GOR were tried. In the second method, the GOR calculation model based on the maturity index IM was established with logging data. The case examples show that the two methods are simple and practical, and they complement each other to improve the accuracy of the GOR. The results show that the accuracy of shale oil saturation and GOR can be improved with the method of calculating shale oil saturation and GOR based on logging data.
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Keywords:
- shale oil /
- oil saturation /
- gas oil ratio /
- logging data /
- gas logging /
- mathematical model
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图 1 原始地化热解含油饱和度模型计算效果验证
Figure 1. Verification of calculation result of initial oil saturation model by geochemical pyrolysis
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图 2 刻度系数与热解总烃含量、有效孔隙度的相关性
Figure 2. Correlation analysis of scale coefficient with pyrolysis total hydrocarbon content and effective porosity
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图 3 刻度系数与综合影响系数的关系
Figure 3. Relationship between scale coefficient and comprehensive influence coefficient
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图 4 改进热解法含油饱和度计算模型计算结果与岩心实测含油饱和度的对比
Figure 4. Comparison between calculated results of improved oil saturation calculation model by pyrolysis and measured oil saturation of the core
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图 5 Y井改进含油饱和度计算模型验证效果
Figure 5. Verification effect of improved oil saturation calculation model in Well Y
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图 6 Y井钻井条件标准化校正前后的气测录井曲线对比
Figure 6. Comparison of gas logging curves before and after standardized correction of drilling conditions inWell Y
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图 8 Y井烃湿度、平衡值与气油比的交会图
Figure 8. Cross plot of hydrocarbon moisture value, balancing value, and GOR in Well Y
表 1 胜利油田沾化凹陷区块6口井试油资料
Table 1 Oil test data of six wells in Zhanhua Sag of Shengli Oilfield
井号 井段/m 产油量/（m3·d−1） 产气量/（m3·d−1） 热成熟度指数 气油比/（m3·m−3） 计算 实测 Y1 3 090.00～3 135.00 42.85 3241.6 2.1 118.07 75.65 Y2 4 485.00～4 653.00 66.48 8 106.0 2.4 156.24 121.93 Y3 3 350.00～3 475.00 92.5 8 823.7 2.3 143.52 97.50 Y4 3 070.00～3 150.00 87.39 68 034.0 7.5 805.27 778.51 Y5 3 450.00～3 525.00 84.69 11 698.0 2.7 194.42 138.00 B1 4 471.80～4 553.20 35.64 27 407.2 6.8 716.19 769.00 B1 4 577.20～4 639.20 57.22 17 280.4 4.1 372.57 302.00 
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表 2 4种气油比计算方法在B1井的应用结果
Table 2 Application results of four GOR calculation methods in Well B1
井段/m 气油比/（m3·m−3） 多组
分法平衡
值法烃湿
度法热成熟度
指数法实测 4 471.80～4 553.20 746.83 697.04 232.82 716.19 769.00 4 577.20～4 639.20 329.47 763.02 456.33 372.59 302.00
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