多指标融合的低孔低渗储层测井评价系统

Multi-index fusion logging evaluation system for low porosity and low permeability reservoirs

低孔低渗储层测井存在煤层扩径严重会导致其评价参数多样化,为提高低孔低渗储层测井数据的质量,设计了多指标融合的低孔低渗储层测井评价系统。基于低孔低渗储层参数建模的联动架构,设计测井评价系统的数据管理、储层有效性识别和流体识别等功能模块,完成系统硬件设计;利用多指标融合算法分类处理低孔低渗储层的岩石样本,通过计算岩石岩性的最大隶属程度,识别低孔低渗储层测井岩性特征,结合低孔低渗储层测井评价模型构建,完成软件设计,实现低孔低渗储层测井的评价。测试结果表明,多指标融合的低孔低渗储层测井评价系统无论是在岩泥扩径条件下还是井眼扩径条件下,都可通过提高探测器的计数率保证低孔低渗储层测井数据的质量。

In the logging of low-porosity and low-permeability reservoirs,serious coal seam diameter expansion will lead to diversification of evaluation parameters.In order to improve the quality of logging data for low-porosity and low-permeability reservoirs,a multi-index fusion logging evaluation for low-porosity and low-permeability reservoirs was designed system.It was based on the linkage architecture of low-porosity and low-permeability reservoir parameter modeling,design the data management,reservoir effectiveness identification and fluid identification function modules of the logging evaluation system to complete the system hardware design;used multi-index fusion algorithm to classify and process low-porosity and low for rock samples of permeable reservoirs,by calculating the maximum degree of rock lithology,the logging lithology characteristics of low-porosity and low-permeability reservoirs were identified,combined with the construction of low-porosity and low-permeability reservoir logging evaluation models,and the software design was completed to achieve low porosity evaluation of logging in low-permeability reservoirs.The test results showed that the multi-index fusion low-porosity and low-permeability reservoir logging evaluation system,whether under the condition of shale expansion or wellbore expansion,both could ensure the quality of logging data in low-porosity and low-permeability reservoirs by increasing the detector count rate.