基于多源测井信息融合的低阻油层识别研究

Identifying the low resistivity reservoir based on multi-source fusion using logging data

精准识别低阻油层将有助于优化补孔措施和挖潜剩余油.鉴于目前低阻油层测井识别方法众多,每种方法均有其适用性,缺乏普适性的方法.为扬长避短、博采众长,本文充分挖掘了常规测井资料中所蕴藏的油气信息,提取了能够映射低阻油层的自然电位差值、电阻增大率、电阻率比值,将该三参数有机融合,构建了适用于研究区的低阻油层三维识别图版,并确定了判别标准,进而开展了研究区延9段低阻油层测井识别.研究结果表明,基于多测井方法融合的低阻油层识别率较单一方法精度高,且适用于不同成因的低阻油层.

Accurate identification of low resistance reservoir will help optimize hole filling measures and tap potential remaining oil.Since there are many methods for logging identification of low-resistivity reservoir,each method has its applicability and lacks universal methods.In order to make full use of advantages and avoid disadvantages,the resistivity ratio method based on apparent natural potential difference method was organically integrated in this paper to construct the three-dimensional identification chart of low-resistivity reservoirs suitable for the study area,and the discrimination standard was determined,and then the logging identification of nine low-resistivity reservoirs in the study area was carried out.The results show that the logging identification rate of low resistivity reservoirs based on multi-method fusion is more accurate than that of single method,and it is suitable for low resistivity reservoirs with different genesis.