多方案酸敏快速预测模型的研究

Study of a multi-model acid sensibility fast forecasting system

低渗透、特低渗透油藏在中国油田约占60％,开采此类油层需要进行酸化处理。在阐述酸敏机理的基础上,分析总结出酸敏的主要影响因素为孔隙度、渗透率、碳酸盐含量、绿泥石含量、蒙脱石含量、高岭石含量、伊蒙混层、主要粘土矿物产状等,酸敏指数是一个多影响因素参数。根据用户提供不同的参数的需要运用多元回归方法建立了5个盐酸预测模型。使用大庆、辽河、江苏油田的数据对5个盐酸预测模型进行了检验。结果表明,酸敏程度预测准确度达到80％,实验值与预测值相对误差平均为11％,该模型可以满足预测准确度的要求。并编制了酸敏预测软件。

The paper gives out the main factors of acid sensibility based on the analysis of the acid sensibility mechanism. According to the different conditions, a multi-project-forecasting model is established. Using the data from different oilfields, the model was examined, and the coincide ratio reaches up to 80 percent. A fast prediction software is also developed.