自然伽马能谱测井辅助识别砾岩储层方法研究

On Subsidiary Recognition Method of Conglomerate Reservoir with Natural Gamma Spectrum Logging

相对于砂泥岩储层,砾岩储层具有快速沉积、组分复杂多变、在平面和纵向上岩石物理特征变化剧烈等特点,常规测井评价的岩石物理参数常常难以准确确定。研究利用自然伽马能谱测井资料对砾岩沉积环境的指示特征,综合常规测井信息的对比关系,采用信息融合与信息可视化新技术,建立了砾岩储层识别与评价方法。通过对实际砾岩井资料处理和评价,获得了新的砾岩储层评价结果。与单井试油和油藏开发动态结果比较发现伽马能谱辅助处理的砾岩油层更符合实际油藏地质特征,证实该方法具有较好的适用性。

Contrast with the sand and shale sedimentary, the conglomerate reservoir is character- ized with quick deposition, complex ingredient and the rock physical property varies severely in the vertical and plane. The physical parameters are difficult to determine by the normal loggings. To research the indicator of conglomerate sedimentary with the gamma spectrum logging, combi- ning with the comparative relationship of normal loggings and using the new information fusion and visualized new technique, the recognition and evaluation method of conglomerate reservoir is set up. With the well data processing and interpretation, gained are the new conglomerate reser- voir interpretation results. The result of comparing the interpretation with single well test and reservoir production performance shows the result is more coincident with the actual reservoir ge- ological property by the auxiliary processing of gamma spectrum logging. This method has good applicability.