应用核磁共振成像(NMRI)技术研究复合剂驱油特征

本文应用核磁共振成像技术,在均值、非均值模型中研究了复合剂驱油动态实验过程。观察及分析了复合剂驱油特征和效果,对复合剂驱油段塞前缘进行了实时跟踪,得到了复合剂驱油段塞前缘油墙的形成及剩余油分布与运移的二维图像,给出了复合剂驱油后,剩余油的饱和度分布曲线。实验表明:在层状非均值地层中,若渗透率差异大,复合剂段塞主要进入高渗层,而波及不到低渗层,即复合剂波及效率低。若渗透率差异小,复合剂段塞大部分进入高渗层,有少部分进入低渗层,即复合剂波及效率较高。     

Prediction of diagenetic facies using well logs – A case study from the upper Triassic Yanchang Formation,Ordos Basin,China

Understanding diagenetic heterogeneity in tight sandstone reservoirs is vital for hydrocarbon exploration. As a typical tight sandstone reservoir, the seventh unit of the Upper Triassic Yanchang Formation in the Ordos Basin (Chang 7 unit), central China, is an important oil-producing interval. Results of helium porosity and permeability and petrographic assessment from thin sections, X-ray diffraction, scanning electron microscopy and cathodoluminescence analysis demonstrate that the sandstones have encountered various diagenetic processes encompassing mechanical and chemical compaction, cementation by carbonate, quartz, clay minerals, and dissolution of feldspar and lithic fragments. The sandstones comprise silt-to medium-grained lithic arkoses to feldspathic litharenites and litharenites, which have low porosity (0.5%–13.6%, with an average of 6.8%) and low permeability (0.009 × 10⁻³ μm² to 1.818 × 10⁻³ μm², with an average of 0.106 × 10⁻³ μm²).This study suggests that diagenetic facies identified from petrographic observations can be up-scaled by correlation with wire-line log responses, which can facilitate prediction of reservoir quality at a field-scale. Four diagenetic facies are determined based on petrographic features including intensity of compaction, cement types and amounts, and degree of dissolution. Unstable and labile components of sandstones can be identified by low bulk density and low gamma ray log values, and those sandstones show the highest reservoir quality. Tightly compacted sandstones/siltstones, which tend to have high gamma ray readings and relatively high bulk density values, show the poorest reservoir quality. A model based on principal component analysis (PCA) is built and show better prediction of diagenetic facies than biplots of well logs. The model is validated by blind testing log-predicted diagenetic facies against petrographic features from core samples of the Upper Triassic Yanchang Formation in the Ordos Basin, which indicates it is a helpful predictive model.     

GC-MS联合二维核磁对文蛤多糖Fr.2A组分结构的解析

采用GC-MS联合二维核磁的方法,对文蛤均多糖结构进行解析。运用双酶辅助水提的方法,提取文蛤粗多糖(MMPX),分离纯化得到文蛤均多糖,并通过气质联用技术(GC-MS)和核磁共振波谱(1D,2D NMR),对文蛤均多糖的结构进行了分析。结果表明,从文蛤中提取得到文蛤粗多糖(MMPX),经分离纯化得到高纯度文蛤均多糖Fr.2A,其单糖组成为葡萄糖(Glc)。GC-MS分析发现,Fr.2A存在三种残基单元1,4-Glcp、T-Glcp和1,4,6-Glcp,摩尔比为5.58︰1.26︰1.0;核磁共振波谱分析表明,Fr.2A是以α-(1→4)与少量α-(1→6)连接为主链,并存在少量的α-(1→6)和β-(1→4)支链的新型水溶性D型吡喃葡聚糖。     

基于SVD和BRD的二维核磁共振测井正则化反演算法研究

二维核磁共振能从"弛豫-扩散"两个维度上展现流体性质,在识别稠油储层方面具有理论优势,是当前核磁共振测井技术的研究热点.本文深入研究二维核磁共振测井原理,系统分析CPMG-DE脉冲序列测量扩散系数与弛豫时间的方法,结合核磁共振二维谱数理模型,提出一种基于SVD和BRD的正则化反演算法.该算法通过SVD压缩数据,采用带非负约束的Tikhonov正则化方法求解流体"弛豫-扩散"分布,并基于BRD算法迭代确定最佳正则化因子.模拟实验与数值分析表明,该算法无需先验信息、运算效率高、相对误差小,在原始数据信噪比低至50时,仍可有效获取流体(T₂,D)二维分布.在二维核磁共振测井数据实时解释应用中,该方法较传统反演算法(如TSVD)具有较大优势.同时,在自主研发的核磁共振测井仪测量CuSO₄溶液(T₂,D)分布的实验显示,本文设计算法对弛豫时间和扩散系数的反演误差分别仅为2%和4%,较TSVD算法有较大改善.     

综合应用测井及地震资料建立复杂断块地质模型

针对滩海油田具有完钻井少,以地震资料为主的特点,采用井震结合的方法进行地质建模。复杂断块油藏具有许多内部断层,充分利用地震解释层位和断层成果建立合理的构造模型。采用“多步建模”的思路,选用序贯高斯同位协同模拟算法建立储层参数模型。以测井资料为硬数据,地震反演数据为软数据,先后建立自然伽玛模型、泥质含量模型和砂泥岩相模型,然后以砂泥岩相模型为约束,建立储层参数模型。经研究表明,综合使用地震解释成果和三维地震数据体,有助于建立准确、合理的构造模型;而采用“多步建模”的思路,利用序贯高斯同位协同模拟算法,并综合测井资料、地震资料建立储层参数模型,有助于从地质的角度对储层参数模拟进行约束,提高储层随机建模精度,保证储层参数模型的准确和可靠性。     

用测井曲线自动划分层序地层研究

无论在基础地质研究还是在指导沉积矿产资源勘查中 ,层序地层划分都具有重要的作用。利用测井资料进行人工层序地层划分是一项重要工作 ,但效率较低。根据层序地层划分的原则 ,采用频谱分析和砂泥岩比值方法设计了层序地层划分的自动算法 ,在济阳坳陷部分区块进行了应用 ,取得了较好的效果 ,为层序地层划分提供了有效的工具。     

Chemical and spectroscopic characterization of dissolved humic substances in a mangrove-fringed estuary in the eastern coast of Hainan Island, China

Mangrove-derived dissolved organic matter(DOM) has an important effect on estuarine and coastal area on a large scale.In order to improve the understanding of origin,composition,and fate of DOM in mangrove-fringed estuarine and coastal areas,dissolved humic substances(DHS) were isolated from one mangrove pore-water sample and one near-shore seawater sample downstream the mangrove pore-water site in the eastern coast of Hainan Island,South China.Fulvic acids,humic acids and XAD-4 fractions were obtained from the two water samples by using a two-column array of XAD-8 and XAD-4 resins.Chemical and spectroscopic methods were used to analyze the features of these DHS.Compared to the mangrove pore-water DHS,the near-shore seawater DHS were found rich in 13 C with lower C/N ratios and more aliphatic compounds and carbohydrates,but less aromatic structures and carboxyl groups.As for the three fractions of the two DHS,XAD-4 fractions contain more aliphatics,carbohydrates,carboxyl groups,and enrich in 13 C with respect to both fulvic and humic acids.Photo-oxidation transformation and contribution from marine-derived DOM were considered as the main reasons resulted in the difference in compositional features for these DHS in this study.     

湖南保靖X区页岩气储层“甜点”区地震资料非线性反演预测方法

针对湖南保靖地区地表覆盖层复杂、地下高陡构造多变、地震勘探资料信噪比低,以及页岩气储层与周围泥岩层波阻抗对比度小等特点,研究敏感测井曲线重构与优化处理、地震资料相控非线性反演和叠后地震属性流体检测的综合储层评价方法。通过对多条测线的地震资料反演和流体检测并与实钻井结果对比,获得了良好的地质效果,初步验证了所研究方法的有效性和实用性。      

瓦斯压力对煤系页岩瓦斯吸附特性影响核磁共振谱试验研究

瓦斯压力是影响煤系页岩瓦斯吸附特性的关键因素。以阜新高瓦斯矿井清河门矿煤系页岩为研究对象,采用低场核磁共振（NMR）谱技术,通过向放有试样的夹持器中不断充入瓦斯,模拟煤系页岩瓦斯集聚赋存过程。以核磁共振T2谱幅值积分作为反映瓦斯吸附量定量化指标,从微细观角度定量研究瓦斯压力对吸附态和游离态瓦斯量影响规律。试验结果表明,（1）两个截止阈值确定了吸附态和游离态瓦斯T2谱曲线范围;（2）瓦斯压力对煤系页岩吸附态和游离态瓦斯增量均有显著影响。吸附态瓦斯增量变化受控于煤系页岩和瓦斯分子间作用力,而游离态瓦斯增量则主要与煤系页岩孔隙结构有关;（3）吸附态瓦斯量与瓦斯压力间关系符合朗格缪尔等温吸附方程,而游离态瓦斯与瓦斯压力呈3次函数关系;（4）以瓦斯T2谱均值变化幅度定量描述孔隙平均半径扩胀变形程度,随瓦斯压力增加,煤系页岩中～大孔隙结构均发生显著扩胀,平均半径增加1.47倍,而微孔隙结构尺寸未见明显变化。     

测井曲线重构和频谱分析技术在塔里木盆地塔河油田卡拉沙依组储层预测中的应用

由于受不同地质情况的影响,常规测井曲线不能很好地解决特殊地质问题。针对塔河油田三区石炭系卡拉沙依组的储层地质特征,利用频谱分析技术对伽马、中子测井曲线进行处理。与常规测井曲线比较,地层的旋回特征在频谱分析曲线上更加明显。根据相同地层具有相似旋回性的原理,利用伽马、中子频谱分析曲线进行地层横向对比,使研究区卡拉沙依组砂泥段的砂组划分、对比达到了协调和统一;以声波曲线为本体,结合反映岩性的测井曲线(伽马、中子、自然电位等曲线),应用曲线重构技术构建储层特征曲线,为测井约束反演提供地质依据,使反演结果更接近于地质实际情况。利用反演资料进行储层预测的结果与测井解释有利储层段进行比较,吻合率和较吻合率分别为71.6%、11.3%。