摘要
砂砾岩储层作为非常规的油气藏其储层具有埋藏深、岩性复杂、低孔隙度低渗透率、孔隙结构复杂、非均质性强等特点,难以精确划分岩性并建立准确的解释模型,给储层参数的求取带来很大的困难。最优化测井解释可充分利用所有测井信息、测量误差和响应方程误差及地质资料和工作经验,从所有可能的解释结果中找出最合理的解释结果。将遗传算法引入砂砾岩储层最优化测井解释,取代经典的数学算法求取储层孔隙度等参数。对松辽盆地实际测井数据进行了处理,取得了较好的效果。
As unconventional oil resource, glutenite reservoir gets more and more attention in oil exploration. However it is hard to determine lithology and set up the interpretation model accurately because the reservoir is deep burial, complex lithology, complex pore structures, low porosity and permeability and high heterogeneity. The optimal log interpretation can take full advantage of the logging information, measurement errors, logging responses equation errors, geological information and working experience so to find the most reasonable interpretation result from all the above possible solutions. In this paper, genetic algorithm（GA） is introduced to optimal log interpretation to get the reservoir parameters, such as porosity and saturation, finally the method is applied in Songliao basin and achieves the desired result.
出处
《测井技术》
CAS
CSCD
北大核心
2012年第4期392-396,共5页
Well Logging Technology
基金
国家自然科学基金(41174096)
国家重大专项(2011ZX05009
2011ZX05044)联合资助
关键词
测井解释
砂砾岩储层
最优化测井解释
遗传算法
多组分模型
log interpretation, glutenite reservoir, optimal log interpretation, genetic algorithm,multi-component model
