塔河油田石灰岩洞缝型储层测井评价

LOGGING EVALUATION FOR CAVE- AND PORE-TYPE LIMESTONE RESERVOIRS IN TAHE OILFIELD

塔河油田奥陶系主要岩性为颗粒微晶灰岩与泥微晶灰岩,储集空间类型繁多,分布不均,非均质性强,使得储层的储、渗机理和特性复杂化。针对复杂油气储层,开展了储层空间类型的研究,分析描述了不同储层空间的测井响应特征,利用成像测井和常规测井方法来识别孔、洞、缝储层,结合地质、岩心录井等生产实际对储层进行了分类,建立了不同类型碳酸盐岩储层测井识别模式、评价标准和储层参数求取的方法。通过多年的攻关研究,完善了综合概率法识别洞缝型储层的模型,为塔河油田储量参数计算和利用测井技术判别石灰岩缝洞型储层流体性质研究奠定了基础。

The Ordovician lithology in the Tahe oilfield is characterized mainly by grainy minicrystal and shale minicrystal limestones, whose reservoir space types are various and unevenly distributed with strong heterogeneity, which make reserving and penetrating mechanisms and reservoir characteristics complicated. Aimed at the complex oil and gas reservoirs, the paper researched reservoir space types, analyzed and described the logging response features of various reservoir space types, applied imaging logging and conventional logging methods to recognize pore-, cave- and fracture-type reservoirs and classified the reservoirs in combination with geologic and core data, and established logging recognition patterns, evaluation standard and reservoir parameter computation methods for various carbonate reservoirs. Through a lot of studies on tackling key problems for many years, this study improved the model for cave- and fracture-type reservoirs recognition by using the integrative probability method, and established a foundation for reserves parameter computation and a trial study on using logging technique to detect fluid properties of cave- and pore- type reservoirs in limestone formation in the Tahe oilfield, and this model has been proved to be significantly practical for the actual production.