利用激发极化驰豫时间谱确定渗透率的实验研究

激发极化驰豫时间是孔隙大小的函数,采用奇异值分解方法对激发极化衰减曲线进行多指数反演,得到光滑的驰豫时间谱,该谱呈现多峰特性.实验结果表明,溶质对该谱的影响主要是由于溶质离子的扩散系数不同所致.对于同一块岩心,衰减谱随扩散系数的增大而向小驰豫时间方向移动.结合岩心地层因素F,研究了激发极化驰豫时间几何平均值Tg与岩石的渗透率K的关系,结果表明,logK和log(T1/2g/F)、log(Tg/F)呈现良好的线性关系.     

二维圆柱坐标下FDTD法对多频电磁波测井的数值模拟

在介质围绕Z轴旋转对称的情况下,三维直角坐标下的麦克斯韦方程可变成两组分别对应TM波和TE波的二维柱坐标下的偏微分方程.采用线圈作为电磁波测井的发射器和接收器的时候,可采用TE波对应的方程,这时相当于磁极子的情况.而采用电偶极子作为发射和接收器的时候,则对应TM波的方程.采用时间和空间均为二阶精确的有限差分方法,将偏微分方程进行差分化.这样,空间的电磁场可由时间域有限差分法(FDTD)来求解.     

木里地区水合物钻孔井壁构造裂缝特征

木里地区三露天井田断层发育、岩性复杂,且钻探结果揭示水合物主要赋存于地层裂缝中,因此,笔者专门利用声成像测井资料对三露天井田水合物钻孔井壁构造裂缝进行研究,明确了研究区构造裂缝的成像测井响应特征,并从裂缝线密度、倾角、倾向等方面对裂缝的分布特征进行了分析讨论。结果表明:(1)研究区水合物钻孔井壁裂缝发育,倾角以高角度为主,低角度次之,水平裂缝与高角度裂缝少见;冻土层及以上裂缝较冻土层以下更为发育。(2)研究区裂缝主要走向与地层断裂走向基本一致或小角度斜交,裂缝的发育受断层控制明显。(3)研究区裂缝倾角相对较大,不利于烃类气体的大量聚集,这可能是该区域钻孔少见水合物的原因之一。     

Application of PSO-LIBSVM in Recognition of Potassium Salt Deposits

The shortage of potassium salt seriously restricts the development of China's agriculture. Increasing the exploration and development of potash will help improve the self-sufficiency of potassium in China. With rich potassium salt resources, Sichuan basin is one of the most important research areas for potash exploration and development in China. Polyhalite is an important solid potassium salt mineral in Sichuan basin, often intercalated in rock minerals such as anhydrite, rock salt and dolomite. Aiming at the problem that conventional log interpretation methods are difficult to accurately identify polyhalites, this paper proposed a new Support Vector Machine (SVM) recognition method based on Particle Swarm Optimization (PSO) to classify polyhalites in Sichuan basin. Based on particle swarm optimization and support vector machine theory, combined with logging interpretation theory, the effective data sensitive to polyhalite logging response were selected as input samples to generate training sets and test sets randomly. The Radial Basis Function (RBF) parameters were optimized by particle swarm optimization, and the classification and prediction model of polyhalite was established. Compared with mud logging results, the recognition accuracy of SVM model based on particle swarm optimization reached 97.5758%, which is obviously better than that of SVM model optimized by cross validation method in recognition accuracy and speed. The results show that the model has broad application prospects in potash exploration in Sichuan basin.     

黄骅坳陷新生界火成岩岩相与储集性能分析

通过取芯段火成岩岩芯观察、测井以及地震相分析,将黄骅坳陷新生界火山岩划分为爆发相、溢流相、火山通道相和火山沉积相4种,并根据储集空间特征进一步划分为10种亚相,将侵入岩划分为3个相带。在此基础上建立黄骅坳陷火成岩岩相模式,并分析不同岩相火成岩的储集性能。研究认为：研究区溢流相上下区亚相和爆发相储集物性优越,构造裂缝和原生气孔发育,气孔、溶蚀孔缝、构造缝为主要储集空间;侵入相和次火山岩相火成岩由于热液作用造成围岩发生变质,原岩结构构造发生变化,使原来孔渗条件极差的泥岩变质为具有一定储集性能的储集岩;主要储集空间为收缩裂隙和构造裂隙。     

基于遗传算法优化的支持向量机在岩性识别中的应用

为提高测井岩性识别的精度,本文结合乌夏地区岩芯资料和测井数据,总结该地区砂砾岩测井响应特征,优选出声波、自然伽马、密度、中子孔隙度和电阻率等5条测井曲线参数作为训练和测试样本,通过遗传算法挑选出最佳的支持向量机核函数参数σ和惩罚因子C,建立支持向量机岩性识别模型。结果表明该模型实际数据预测总体符合率为81.6%,在识别准确率上与传统测井识别砂砾岩岩性方法相比都有明显提升。     

基于地震波速度预测岩体物性参数模型与应用

以地震属性和钻孔测井参数为基础,依据试验数据构建数学模型,实现对煤层顶底板岩石物性参数的定量预测。通过试验拟合出纵横波波速之间关系、波速与密度的关系、动静杨氏模量、动静泊松比之间的关系,且相关程度较高。依据试验模拟结果对淮南刘庄区煤层顶底板岩石物性参数及孔隙度进行了预测。结果表明该地区的物性参数分布规律明显,且与实测结果吻合较好。模型计算与实例应用证实地震信息用于预测岩石力学参数具有可行性。     

用自然伽马测井数据估算桑托斯盆地的地层生热率

岩石生热率是研究地球内热的一个重要的参数。本文根据自然伽马与岩石生热率的关系,利用盆地4口钻井的自然伽马测井曲线,计算出桑托斯盆地主要岩石或矿物及地层的生热率。本文统计了2964个自然伽马测井数据值,主要岩石或矿物的生热率从大到小依次为：泥岩、砂岩、页岩、玄武岩、石灰岩、硬石膏和盐岩;盆地地层的生热率随深度增加显著降低,生热率体现出受控于岩性变化的特征。以S1井为例,根据岩石生热率和热流的关系,计算出盆地中各个组的生热率,Marambaia组、Itajai-Acu组、Itanhaem组、Ariri组、Guaratiba群、Camboriu组生热率分别是1.36±0.16μW/m3、1.52±0.15μW/m3、1.30±0.3μW/m3、0.46±0.18μW/m3、0.64±0.23μW/m3、0.37±0.07μW/m3,盆地沉积地层产生的热量占表层大地热流的13.62%,因此沉积地层具有一定的产热潜力,对区域有机质的成熟度有一定的影响。建立了岩石圈分层生热模型,其中地壳热流贡献为15.38mW/m2,占表层大地热流的30.76%,地幔热流贡献值为34.62mW/m2,地壳和地幔的热流比例为0.44,具有“冷壳热幔”的特征。     

Effectiveness of post-fire salvage logging stream buffer management for hillslope erosion in the U.S. Inland Northwest Mountains

Active wildfire seasons in the western U.S. warrant the evaluation of post-fire forest management strategies. Ground-based salvage logging is often used to recover economic loss of burned timber. In unburned forests, ground-based logging often follows best management practices by leaving undisturbed areas near streams called stream buffers. However, the effectiveness of these buffers has not been tested in a post-wildfire setting. This experiment tested buffer width effectiveness with a novel field-simulated rill experiment using sediment-laden runoff (25 g/L) released over 40 min at evenly timed flow rates (50, 100 and 150 L/min) to measure surface runoff travel length and sediment concentration under unburned and high and low soil burn severity conditions at 2-, 10- and 22-month post-fire. High severity areas 2-month post-fire had rill lengths of up to 100 m. Rill length significantly decreased over time as vegetation regrowth provided ground cover. Sediment concentration and sediment dropout rate also varied significantly by soil burn severity. Sediment concentrations were 19 g/L for the highest flow 2-month post-fire and reduced to 6.9–14 g/L 10-month post-fire due to abundant vegetation recovery. The amount of sediment dropping out of the flow consistently increased over the study period with the low burn severity rate of 1.15 g L⁻¹ m⁻¹ approaching the unburned rate of 1.29 g L⁻¹ m⁻¹ by 2-year post-fire. These results suggest that an often-used standard, 15 m buffer, was sufficient to contain surface runoff and reduce sediment concentration on unburned sites, however buffers on high burn severity sites need to be eight times greater (120 m) immediately after wildfire and four times greater (60 m) 1-year post-fire. Low burn severity areas 1-year post-fire may need to be only twice the width of an unburned buffer (30 m), and 2-year post-fire these could return to unburned widths.     

A meta-analysis of the impacts of forest logging on soil CO_2 efflux

Soil CO_2 efflux, the second largest flux in a forest carbon budget, plays an important role in global carbon cycling. Forest logging is expected to have large effects on soil CO_2 efflux and carbon sequestration in forest ecosystems. However, a comprehensive understanding of soil CO_2 efflux dynamics in response to forest logging remains elusive due to large variability in results obtained across individual studies. Here, we used a meta-analysis approach to synthesize the results of 77 individual field studies to determine the impacts of forest logging on soil CO_2 efflux. Our results reveal that forest logging significantly stimulated soil CO_2 efflux of the growing season by 5.02%. However, averaged across all studies, nonsignificant effect was detected following forest logging. The large variation among forest logging impacts was best explained by forest type, logging type, and time since logging. Soil CO_2 efflux in coniferous forests exhibited a significant increase(4.38%) due to forest logging, while mixed and hardwood forests showed no significant change. Logging type also had a significant effect on soil CO_2 efflux, with thinning increasing soil CO_2 efflux by 12.05%, while clear-cutting decreasing soil CO_2 efflux by 8.63%. The time since logging also had variable effects, with higher soil CO_2 efflux for 2 years after logging, and lower for 3-6 years after logging; when exceeded 6 years, soil CO_2 efflux increased. As significantly negative impacts of forest logging were detected on fine root biomass, the general positive effects on soil CO_2 efflux can be explained by the accelerated decomposition of organic matter as a result of elevated soil temperature and organic substrate quality. Our results demonstrate that forest logging had potentially negative effects on carbon sequestration in forest ecosystems.