测井技术2017，Vol.41Issue(3)：320-324,5.DOI:10.16489/j.issn.1004-1338.2017.03.014
人工蜂群最优化测井解释方法在致密砂岩储层评价中的应用
Application of Artificial Bee Colony Optimization Log Interpretation Method to Tight Sandstone Reservoir Evaluation
摘要
Abstract
Optimization log interpretation method can break the limitation of the conventional explanation, and make full use of logging data and geological information, which can effectively evaluate the complex lithology reservoir, and optimization algorithm is the key to optimization log interpretation.With artificial bee colony (ABC) algorithm optimization log interpretation method, we calculate the volume content of each composition of tight sandstone reservoir in a certain period, and compare with bacteria foraging algorithm-complex hybrid algorithm (BFA-CM) and genetic algorithm (GA).Results show that ABC optimization log interpretation method can achieve the required precision of the edge in dealing with a dense sandstone reservoir, so the parameter is set simply and global search ability is strong, and does not require quadratic optimization.It provides a new method for optimization log interpretation.关键词
最优化测井解释/人工蜂群算法/致密砂岩储层/遗传算法/细菌觅食-复合形混合算法Key words
optimization log interpretation/artificial bee colony algorithm/tight sandstone reservoir/genetic algorithm/bacterial foraging algorithm-complex hybrid algorithm分类
天文与地球科学引用本文复制引用
孙茹雪,潘保芝,石玉江,张海涛,杨晓明,李晓..人工蜂群最优化测井解释方法在致密砂岩储层评价中的应用[J].测井技术,2017,41(3):320-324,5.基金项目
国家科技重大专项大型油气田及煤层气开发鄂尔多斯盆地大型低渗透岩性地层油气藏发示范工程(2011ZX 05044) （2011ZX 05044）
国家自然科学基金项目松辽盆地深层火成岩CO2气藏岩石物理参数研究(41174096) （41174096）
