哈萨克斯坦北特鲁瓦油田石炭系碳酸盐岩储层受沉积作用、构造作用和差异成岩作用等影响,储层岩性复杂、储集空间多样、基质物性较差、测井响应复杂,使得该类储层在岩性识别、储层参数计算和流体性质识别等方面遇到了许多困难.针对北特鲁瓦油田复杂碳酸盐岩储层测井评价中存在的问题,在大量岩心观察、薄片分析的基础上,通过碳酸盐岩储层最优化测井解释方法,对碳酸盐岩储层的矿物组分进行可靠识别,进而计算得到准确的岩性剖面.基于取心、成像测井资料,建立孔隙、裂缝双重介质解释模型,结合不同储集空间类型储层的测井响应特征,对各类储集空间进行精细识别及分类.根据储层储集空间组合特征与孔渗关系,把储层划分为孔洞缝复合型、裂缝孔隙型、孔隙型、孔洞型、裂缝型等5类,基于储层分类开展了储层定性、定量评价方法和理论的研究,建立了储层参数计算模型,得出一套较为完善的复杂碳酸盐岩储层测井评价方法.

Carbonate reservoirs play an extremely important role in oil and gas production in the world, and they contribute about 60， of the world's oil and gas production. As the development of widespread continental clastic reservoirs in China comes to the late stage, the Chinese petroleum companies pay more attention to overseas marine carbonate reservoirs. Compared with clastic reservoirs, carbonate reservoirs are always in the spotlight because of their complexity and strong heterogeneity. Influenced by sedimentation, tectonism and differential diagenesis, there are many difficulties of the Carboniferous carbonate reservoirs in North Truwa Oilfield, Kazakhstan in lithology identification, reservoir parameter calculation and fluid property identification due to complex lithology, diverse pore structure, poor matrix physical properties and complex logging response. In view of the problems existing in the logging evaluation of complex carbonate reservoirs in this oilfield, based on a large number of core observation and thin section analysis, the mineral components of this kind of reservoirs are reliably identified through the carbonate optimization processing method, and then the lithologic profile is calculated. Combined with imaging logging data, the dual medium interpretation model of pore and fracture is established to realize the quantitative characterization of complex carbonate reservoir, effectively depict the spatial type and connectivity of reservoir, and identify and classify various pore types. According to the combination characteristics of reservoir space and the relationship between porosity and permeability, the reservoir is divided into five types: hole-fracture, fracture-pore, pore, hole and fracture. The logging evaluation on the reservoir classification improves the interpretation accuracy of reservoir physical property, which provide reference for reservoir productivity prediction, qualitative and quantitative reservoir evaluation method and the theory research. A set of relatively perfect logging evaluation method for complex carbonate reservoir is obtained, which has guiding significance for logging evaluation of similar reservoir in littoral Caspian Basin and other areas.