Application of Well-Loging Curves preprocessing in Reservoir Prediction

2018 International Conference on Air Pollution and Environmental Engineering

生态环境科学

Dai, Shuhui^1 ; Wang, Jian^1 ; Mei, Shisheng^1 ; Zhang, Yupan^2

China ZhenHuaOil Co., Ltd., Beijing, China^1

China Huayou (Group) Corporation, Yinchuan, China^2

关键词: Curve reconstruction;    Geological factors;    Logging curve;    Logging process;    Reservoir prediction;    Rolling development;    Songliao basin;    Uncertain informations;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/208/1/012056/pdf
DOI  :  10.1088/1755-1315/208/1/012056

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

In most cases, in the well-logging process, due to the interference of environment, geology and other factors, the original logging data is often mixed with various uncertain information, and the geological indicator is not obvious. For these reasons, the well-logging curve used for reservoir prediction are often reprocessed to eliminate the influence of non-geological factors on it, so as to guarantee the rationality and accuracy of the prediction results. This paper takes Gaotaizi reservoir in Q130 block located in Songliao basin as an example, aiming to strengthen the geological matching between well-logging curve and sand body through optimized processing such as well-logging curve standardization, normalization and curve reconstruction, so as to improve the accuracy of thin interbed reservoir prediction and provide a strong technical guarantee for the rolling development of this bl.