A New Fracability Evaluation Approach for Shale Reservoirs Based on Multivariate Analysis: A Case Study in Zhaotong Shale Gas Demonstration Zone in Sichuan,China

Fracability characterizes the effectiveness of hydraulic fracturing. The existing assessment methods cannot reflect the actual value of the effectiveness due to a lack of comprehensive consideration and neglect of the influences of engineering factors. This study aims to solve this problem by implementing geological static data and production dynamic data in multivariate analysis in Zhaotong shale gas demonstration zone. First, the reservoir quality index (RQI) was introduced to evaluate the exploration potential by integrating the geological parameters with gray relational analysis. Moreover, the differences in fracturing fluid types and proppant sizes were considered, and the operating parameters were normalized on the basis of the equivalence principle. Finally, the general reservoir fracability index (GRFI) was proposed based on a dimensioned processing of the various parameters. A case study was conducted to verify the accuracy and feasibility of this new approach. The results demonstrate that (1) the organic carbon and gas content are adjusted to contribute the most to the calculation of the RQI, while the effective porosity contributes the least; (2) the fracturing scale is the main operating parameter determining the fracability, which has the strongest correlation with the effectiveness of fracking; and (3) the GRFI has a positive correlation with shale gas production, and the lower limit of the GRFI of 2,000 corresponds to a daily production of 50,000 m3/d; this value is defined as the threshold value of a stripper well. The GRFI is consistent with the productivity trend of shale gas wells in the research block, which suggests that the new model is accurate and practical for well candidate selection.     

Statistical empirical index of chemical weathering in igneous rocks: A new tool for evaluating the degree of weathering

Chemical weathering indices are useful tools in characterizing weathering profiles and determining the extent of weathering. However, the predictive performance of the conventional indices is critically dependent on the composition of the unweathered parent rock. To overcome this limitation, the present paper introduces an alternative statistical empirical index of chemical weathering that is extracted by the principal component analysis (PCA) of a large dataset derived from unweathered igneous rocks and their weathering profiles. The PCA analysis yields two principal components (PC1 and PC2), which capture 39.23% and 35.17% of total variability, respectively. The extent of weathering is reflected by variation along PC1, primarily due to the loss of Na₂O and CaO during weathering. In contrast, PC2 is the direction along which the projections of unweathered felsic, intermediate and mafic igneous rocks appear to be best discriminated; therefore, PC1 and PC2 represent independent latent variables that correspond to the extent of weathering and the chemistry of the unweathered parent rock. Subsequently, PC1 and PC2 were then mapped onto a ternary diagram (MFW diagram). The M and F vertices characterize mafic and felsic rock source, respectively, while the W vertex identifies the degree of weathering of these sources, independent of the chemistry of the unweathered parent rock.

The W index has a number of significant properties that are not found in conventional weathering indices. First, the W index is sensitive to chemical changes that occur during weathering because it is based on eight major oxides, whereas most conventional indices are defined by between two and four oxides. Second, the W index provides robust results even for highly weathered sesquioxide-rich samples. Third, the W index is applicable to a wide range of felsic, intermediate and mafic igneous rock types. Finally, the MFW diagram is expected to facilitate provenance analysis of sedimentary rocks by identifying their weathering trends and thereby enabling a backward estimate of the composition of the unweathered source rock.     

地震监测SAR卫星需求分析与轨道设计

通过对SAR卫星在地震监测任务中的需求分析。确定者这种卫星应该具备干涉和大视角两种工作模式。并利用太阳同步准回归轨道设计方法初步进行了地震监测SAR卫星的轨道设计。     

Asymmetry of river channel cross-sections: Part II. mode of development and local variation

A five-stage model of the development of cross-sectional asymmetry is proposed in which alternating bar deposition and bed scour are important elements. Quasi-periodic reversals in the sense of asymmetry and a progressive increase in the magnitude of asymmetry at sections which develop an asymmetry initially are major features of the model. Application of Bridge's (1977) model confirms several features of the model and suggests that the degree of asymmetry is directly related to bend curvature. After the initial stages, subsequent changes to the cross-sectional and planimetric form of the channel may be intensified by the developing asymmetry through a system of positive feedbacks in which the levels of form and flow distortion are interrelated. Asymmetry appears to provide an important link between cross-sectional and plan form adjustment. Spatial series of asymmetry obtained for three lengths along a mountain stream contain features predicted by the model. In particular, the dominant peak in spectral density functions occurs at a frequency with a corresponding wavelength close to 4πw which has significance in terms of the meander wavelength-width relationship (Richards, 1976a). This consistency is remarkable considering local differences. In addition, sections in curved reaches tend to be more asymmetric, especially when sited at pools. However, contrary to expectation, channel width is not significantly correlated with asymmetry.     

气候变化和生态建设对秦岭—淮河南北植被动态的影响

论文基于2000-2019年秦岭—淮河南北MODIS-NDVI植被覆盖数据,对中国南北过渡带植被时空变化进行分析,并探讨植被动态变化驱动因素.结果 表明:①在趋势变化上,2000-2019年秦岭—淮河南北植被显著恢复.其中,秦巴山区植被恢复面积占比最高,其次是巫山山区和关中平原;植被退化区面积占比仅为6.4％,主要分布...     

许昌市供电量与气象要素相关分析

利用20052006年许昌市逐日供电量和气温、降水、相对湿度等气象要素资料,分析了供电量和这些气象要素之间的相关关系,结果表明,温度为影响本地用电量的主要气象因子,特别是夏季用电量对气温变化的反应更加敏感.     

开采沉陷土体变形与孔隙水压相互作用研究进展

本文通过实验、实测和理论分析研究了开采沉陷土体变形与孔隙水压力之间的相互作用,结果表明,随着开采的进行,土体的应力变形发生变化造成了超静孔隙水压力的产生和消散,反映在土体变形上出现随开采时间延续而发展的附加压缩和膨胀变形,这种压缩或膨胀在土体的不同部位相互叠加,有时还叠加了底部含水层水位下降引起的地面下沉。这些结果揭示了厚松散含水层地区开采沉陷特殊性的机理,对开采沉陷预测及水体下采煤具有重要意义。     

中国西沙海域永兴岛—七连屿海域鱼体内有机污染物含量特征与来源解析及风险评价

环境中的有机污染物对生态系统和人类健康产生严重威胁。有机污染物在全球海域鱼体内普遍检出,且长期食用会对人类造成一定的健康风险。为研究中国西沙海域鱼体内有机污染物污染情况、来源及生态风险,本文利用气相色谱-质谱法(GC-MS)分析测定了永兴岛和七连屿鱼体内有机氯农药(OCPs)、多环芳烃(PAHs)和多氯联苯(PCBs)的含量,采集了包括蜂巢石斑鱼、红裸颊鲷、黑身蓝子鱼在内的17种鱼类共50条。结果表明：鱼体内OCPs、PAHs和PCBs的总含量均值范围分别为2.23～91.57ng/g ww、2.11～31.70ng/g ww和1.55～54.04ng/g ww,平均值分别为32.50ng/g ww、17.29ng/g ww和18.79ng/g ww,中位数分别为16.92ng/g ww、13.34ng/g ww和7.61ng/g ww。双对氯苯基三氯乙烷(DDTs)类农药在美欧沿海鱼体内的含量分别为0.65～107.6ng/g ww和763～5357ng/g lw,中国浙江沿海水域鱼体内PAHs含量为10.4～140ng/g ww,地中海、意大利沿海和美国查尔斯顿港口采集的鱼体内PCBs含量分别为1234～12327ng/g lw、56.8～4791ng/g lw和5.02～232.20ng/g ww,研究区DDTs和PAHs含量水平处于全球海域的低端,推测由于研究区远离污染源。利用DDTs/[双对氯苯基二氯乙烯(DDE)+双对氯苯基二氯乙烷(DDD)]比值来判断DDTs的来源,研究区50%鱼体内DDTs/(DDE+DDD)＞1,表明中国西沙海域有部分新近输入的DDTs,研究区沉积物来源为陆源,推测中国西沙海域DDTs为陆源DDTs和永兴岛农业活动的综合作用。利用蒽(ANT)/[ANT+菲(PHE)]比值＞0.1或该比值＜0.1来判断PAHs的来源是燃烧源还是石油源,研究区88%鱼体内ANT/(ANT+PHE)＞0.1,表明PAHs来源于化石燃料燃烧。风险评价结果显示,鱼体内OCPs和PCBs生态风险低。     

湖南汛期降水异常的时空分布特征研究

利用湖南19个测站23年(1959～2001年)4～9月的降水量资料，用EOF、REOF、小波分析对湖南汛期降水的特征场分布、分区特征、周期性和突变性等时空分布特征进行了诊断研究。研究结果表明：EOF分析得到的前三个典型场可以很好的反映湖南汛期降水空间分布的异常结构，即具有整体一致的空间结构，南北相反的空间结构，中部和周围地区相反变化的空间结构。旋转后的前6个空间模态可以较好地代表湖南汛期降水的6个异常敏感区：湘北、湘中、湘南、湘东南、湘西、湘东北。利用小波分析方法研究湖南汛期降水的周期性及其突变性发现，湖南汛期降水存在着明显的3年、7年和23年的特征时间尺度和周期性振荡；并且在今后相当长的一段时间内，湖南汛期的降水将逐年减少，并将转入干旱时期。