12基于测录井资料的复杂流体性质识别技术

2020年 27卷 第6期
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Identification technology of complex fluid properties based on
logging and mud logging data
魏峰,李跃林
WEI Feng, LI Yuelin
中海石油(中国)有限公司湛江分公司生产部,广东 湛江 524057
Production Department of Zhanjiang Branch, CNOOC Limited, Zhanjiang 524057, China
12南海西部海域储层流体性质复杂,研究区内发现气油比高的挥发性油藏和凝析气藏,如何有效区分凝析气层、挥发油层和常规油层,一直是地层评价中亟待解决的关键问题。考虑到流体性质不同则测录井响应特征不同,文中引入2个气测派生参数与三孔隙度差值作为测录井流体性质识别特征参数,建立基于特征参数的流体性质识别图版。根据流体性质识别图版显示规律,将气测派生参数与气油比建立的录井响应方程与测井响应方程结合应用于最优化气油比计算中。实际应用表明,综合测录井资料的复杂流体识别方法具有较好的流体性质识别效果。
The fluid properties of the reservoir in the western South China Sea are complex. Volatile oil reservoirs and condensate gas reservoirs with high gas?鄄oil ratio have been found in the study area. How to effectively distinguish condensate gas layer, volatile oil layer and conventional oil layer is always a key problem to be solved in stratigraphic evaluation of the area. Considering the different response characteristics of logging for different fluid properties, two derived paremeters of gas logging and three porosity difference are introduced as characteristic parameters for fluid properties identification of logging and mud logging, and the fluid properties identification chart is established based on characteristics parameters. According to the display law of fluid properties identification chart, the logging and mud logging response equation are established by using derived paremeters of gas logging and gas oil ratio, which are applied to the calculation of optimal gas oil ratio. The practical application shows that the complex fluid identification method based on comprehensive logging data has good effect on fluid properties identification in the study area.
派生参数; 三孔隙度; 气油比; 录井响应方程; 最优化算法;
derived parameters; three porosity; gas oil ratio; mud logging response equation; optimization algorithm;
10.6056/dkyqt202006017