基于奇异值分解法的核磁测井解谱算法

核磁测井资料的处理与解释是核磁测井技术的关键,也是其应用的难点所在。介绍了利用奇异值分解法对回波串进行处理,求得最小二乘意义下的最优解,进一步得到关于孔隙度分布的T2谱。并利用T2分布谱对实际地层进行分析,区分油、气、水层。     

火山岩天然气藏地质储量参数的确定方法

大庆油田东部深层某井区火山岩气藏岩性复杂、储层参数计算以及流体性质识别困难。根据岩性组合规律建立火山岩解释模型,对深层的火山岩测井资料进行处理与解释。联合使用成像测井分析结果、岩性分类和多井对比等方法,提高了测井解释精度和解释符合率。计算的孔隙度、饱和度和渗透率为提交天然气地质储量提供了基础参数。     

综合地球物理测井在铁路隧道勘查中的应用

综合地球物理测井通过测量钻孔中地层岩石物理性质的变化,从而获得地层丰富的物性和位场信息。这里阐述了某铁路隧道钻孔的综合地球物理测井勘查效果,该方法已经成为一种行之有效的水文和工程地质勘查手段。     

小回线瞬变电磁测深勘查铝土矿试验

铝土矿含矿岩系与其基底灰岩存在明显的电性差异,是开展瞬变电磁测深工作的基本依据.利用小回线瞬变电磁设备在虎村等铝土矿区进行了剖面试验,分析了反演剖面的异常特征,认为高阻异常由铝土矿含矿岩系基底灰岩引起,其上界面与工程控制结果基本一致.     

齐家古潜山基岩裂缝的神经网络模式识别

在岩芯裂缝观测基础上，应用岩芯标定测井，分岩性建立了测井解释模型，分析了裂缝发育段在常规测井曲线上的响应特征，并结合钻井泥浆漏失、放空及开发动态资料，识别出典型裂缝段，将其测井响应作为训练样本集，应用神经网络模式识别技术的并行处理、分布式的信息存储、极强的自学习功能和自动调整权值的能力，对齐家古潜山76口井进行了裂缝段的识别，探索出一套综合岩芯、常规测井、测试与动态等信息进行裂缝分布预测的新方法，经钻探证实，效果良好。     

建(构)筑物下管桩长度检测方法

管桩中的铁磁性物质在地磁场中受到磁化而产生磁化强度,使管桩附近的磁场强度发生变化.把管桩中的铁磁性物质等效成直立磁性圆柱体,结合模型桩试验,研究了管桩外部的磁场特征,并且利用管桩外部的磁场特征确定了某居民小区住宅楼基础中管桩的长度.理论分析和工程应用均表明,磁测井法能够准确检测建(构)筑物下管桩的长度.     

Selective chemical degradation of kerogen from Nenjiang Formation of the southern Songliao Basin

A sequential selective chemical degradation has been performed on the kerogen from the Nenjiang Formation of the southern Songliao Basin by using a series of mild chemical degradations (alkaline hydrolysis, cleavage of ether-bonds and sulfur-bonds, and ruthenium tetroxide (RuO4) oxidation). Subsequently, the GC-MS analyses are carried out on different degradation products. The results show that chemical degradations can release a great number of GC/MS-determinable biomarkers from insoluble kerogen, such as, alkaline hydrolysis products mainly comprise n-alkanes, fatty acids and alkanols; thiophene compounds are predominantly ether-bound to kerogen matrix; the products from the cleavage of sulfur-sulfur and sulfur-carbon bonds in the kerogen include fatty acids, alkanols and some n-alkanes with high carbon numbers; RuO4 oxidation products are predominantly monocarboxylic acids and α,ω-dicarboxylic acids. The distributions of main degradation products indicate that organic matter in this kerogen is predominantly derived from algae and bacteria, and that small amounts of high plant-derived organic matter are possibly combined into kerogen matrix at the late stage by sulfur bonds and other means. This study will provide an important approach for further discussing sources of organic matter in source rocks and their depositional paleoenvironments.