低对比度油层测录井综合识别方法研究与应用--以珠江口盆地陆丰油田为例

    Research and application of the log-based comprehensive identification method for low-contrast oil layers:A case study of the Lufeng oilfield in the Pearl River Mouth Basin

    • 摘要: 在储层评价中流体性质的准确识别是一个十分关键的问题。然而在珠江口盆地陆丰地区古近系低孔低渗储层, 由于高阻水层的存在, 使得油水层在常规测录井响应上对比度小, 给油水层的准确识别带来困难。本文在明确低对比度油层储层特征与成因分析的基础上, 针对低孔低渗储层中气测响应值受钻速、孔隙度等因素影响较大的问题, 推导了Flair气测响应方程, 建立Flair录井响应值校正方法。基于不同流体性质组分特征存在差异, 采用Flair气测曲线构建新含油指数与含水率指数; 同时采用伽马概率分布函数表征地化色谱图谱特征, 提取形状因子与尺度因子进行图谱特征描述。基于敏感性参数, 建立基于特征参数的流体性质识别图版。实际应用表明, 综合测录井资料的流体性质识别方法具有较好的效果, 识别符合率达91.3%, 具有较好的推广价值。

       

      Abstract: The accurate identification of fluid properties is critical for reservoir evaluation.However, for the Paleogene low-porosity and low-permeability reservoirs in the Lufeng area, Pearl River Mouth Basin, the low contrast between oil and water layers in conventional logs due to the presence of high-resistivity water layers complicates the identification of oil and water layers.This study first ascertained the reservoir characteristics and genetic analysis of low-contrast oil layers.Then, it developed the Flair gas logging response equation and the Flair logging response correction method, aiming to overcome the challenge that gas logging response values of low-porosity and low-permeability reservoirs are significantly influenced by factors such as drilling rate and porosity.Given the differences in the properties and components of various fluids, this study constructed new oil-bearing and water-content indices using Flair gas logging curves.Moreover, this study characterized the geochemical chromatogram using a gamma probability distribution function and extracted the shape and scale factors to describe the chromatogram characteristics.Based on sensitivity parameters, this study plotted the characteristic parameter-based fluid property identification chart.The practical application shows that the log-based comprehensive fluid property identification method can yield satisfactory effects, achieving a compliance rate of 91.3%.Therefore, this method can be popularized.

       

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