东濮凹陷低阻油层成因研究

针对东濮凹陷低阻油层的测井曲线显示特征，从岩石物理特性、油藏高度、泥质砂岩阳离子交换、换井滤液侵入和导电矿物影响等几个方面系统地进行了低阻油层成因研究。研究结果表明，东濮凹陷伏阻油层的形成是多种因素共同作用的结果，但骨架颗粒岩性细、泥质含量偏重、地层水矿化度高，油藏高度低是形成东濮凹陷低阻油层的主要因素。     

核磁共振岩心实验分析的标准样品研究

按照国家一级标准的规范,制作了核磁共振（NMR）岩心实验分析的系列化标准样品一流体标样、离散体系标样和固体陶瓷标样,通过对这些标样以及天然岩心的实验考察,将其应用于大庆、新疆、大港等油田的NMR岩心实验分析。结果表明,由于流体标样、固体陶瓷标样和天然岩心的弛豫机理不同,其对岩心NMR孔隙度的标定效果不同。流体标样适合于贝瑞砂岩、陆相沉积分选好、泥质含量低的砂岩NMR孔隙度的标定;固体陶瓷标样适合于分选中等的泥质砂岩NMR孔隙度的标定;对粘土含量高的砂岩、含顺磁性物质的砂岩和砾岩等复杂岩性岩样,用流体标样和固体陶瓷标样标定都得不到准确的NMR孔隙度值。为此,建议选用本地区有代表性的天然岩心作为标样标定其孔隙度,或者研究该类岩石内部磁场梯度分布,得到经内部磁场梯度校正后的NMR孔隙度。     

Accurate estimation of formation permeability by means of petrophysical logs

Permeability can be considered as the one of the main petro-physical parameters that plays an important role in commercial production of reservoir. On the other hand, measuring the permeability is actually a principal challenge for investigators. Inasmuch as, taking core samples from every well and also surveying well-tested data require a large amount of time and capital, using an economical process is more interesting and it is the main cause to utilize electronic logging as a repeatable method. Artificial intelligence-based methods and especially least squares support vector machines (LSSVM) are reliable and accurate models. In the present work, the LSSVM has been trained by the Cuckoo optimization algorithm to predict permeability by means well-logging data including five different types of logs as input data. The correlation coefficient between the model prediction and the relevant real data is found to be about 0.99602 that can be nominated as an accurate yield.