沁水盆地南部高阶煤层气成藏规律与勘探开发技术

多煤层合层开发是提高煤层气井单井产量的关键技术,然而工程实践中大部分煤层合采存在层间干扰问题,致使合采产气量提升不明显。为了提高合层开发煤层气井的产气量与开发效率,以平顶山首山一矿煤层气合采四2煤层和二1煤层为例,基于煤层气赋存的地质条件,分析了合采层间干扰的影响因素及干扰规律,并提出了煤层合层开发层间干扰的控制方法。结果表明：造成四2煤层和二1煤层合层排采产量低的主要因素是储层压力梯度、临界解吸压力和渗透率。其中,两层煤的储层压力梯度分别为1.05 MPa/hm和0.519 MPa/hm;渗透率分别为0.25×10^–3 μm²和1.4×10^–5 μm²;临界解吸压力分别为1.16~1.69 MPa和0.40~0.46 MPa;另外,两煤层间距大,平均170 m左右。以上主要影响因素差异,造成两层煤合采时层间矛盾突出,干扰严重,总体产量低,井组煤层气开发效率低。基于现状问题,探索提出大间距多煤层大井眼双套管分层控制合采工艺方法,以实现两层煤分开控制达到合采产能叠加的目标,从而提高煤层气井合采产量和开发效果。研究认识将为平顶山及类似地质条件的矿区多煤层煤层气高效合层排采提供新的技术途径。     

黄河入海口壬基酚污染分布特征

黄河口表、底层水体和沉积物中壬基酚的浓度分布特征研究结果表明,表层水体中壬基酚浓度为15.7~148.6 ng/L,平均值为47.5 ng/L;底层水体中壬基酚浓度为15.8~52.7ng/L,平均值为31.0 ng/L;表层沉积物中壬基酚浓度为2.31~5.47 ng/g,平均浓度为3.87ng/g。黄河口水体中壬基酚浓度呈现由河道向出海口外逐渐降低的趋势;河道中表层沉积物壬基酚含量高于出海口外。黄河口水体中壬基酚浓度低于文献中报道的海河口水体中的浓度,表层沉积物中壬基酚含量低于珠江口文献报道值。水体中壬基酚浓度超过抑制藤壶附着浓度(10 ng/L),河道最上游的站点水体中的浓度超过影响太平洋牡蛎幼苗的发育并增加幼苗死亡率的浓度(100 ng/L)。     

洛阳地震台2015—2020年水氡异常变化成因探讨

在2015—2020年部分时段内,洛阳地震台水氡测值出现异常变化,利用水质和地球化学分析方法,对观测井、周边水井、伊河、龙门煤矿进行分析,认为水氡异常变化主要与台站更换水泵、大气降水、伊河水位变化以及附近龙门煤矿透水有关,排除地震异常,可为周边地区震情研判提供参考。     

Compass系统与GPS系统L1频段信号干扰仿真分析

全球导航卫星系统间的频率兼容性研究已经成为一个热点问题。首先介绍了国际电联建议的卫星导航系统间干扰分析方法;然后根据该方法对Compass系统和GPS系统在L1频段的信号进行了干扰仿真分析,并比较了系统间互干扰和系统自干扰的影响。仿真计算结果表明,除了互用信号L1C和B1C外,其余信号间的自干扰在总干扰中占主导,互干扰的影响相对较小。     

南黄海地震资料叠前去噪技术应用

南黄海盆地位于下扬子地台东北部,是一个由多期、多类型盆地叠加的复合残留盆地,平均水深约为50 m。工区内地震资料信噪比较低,干扰波类型较多,主要有涌浪、电缆和水鸟等产生的随机噪声,线性噪声和船干扰等相干噪声。通过系统分析噪声在振幅、频率方面的特征,以及噪声产生的机制,分别在不同域采用多种压制方法,主要采用分频分时振幅衰减技术去除异常振幅噪声,f-x域相干噪音方法压制低速线性噪声干扰,外部噪音模型法压制高速线性噪声,τ-p域切除法去除直达波干 扰,以及采用fxy域预测误差方法压制船干扰噪声等。通过以上叠前多域去噪技术方法,在尽量不损害有效信号的情况下,对南黄海地震数据的各种噪声进行很好的压制。     

高压线对CSAMT探测结果的影响及数据处理

以干扰严重的某工作区为例,探讨高压线对CSAMT法所测数据的影响,总结了本工作区高压线对CSAMT数据影响的特征;根据其电磁干扰特征,寻求数据处理的方法,运用插值法恢复接近正常场的磁信号,再利用原始电场信号和恢复的磁信号,计算得出视电阻率。这种方法经对比和钻探验证,效果良好。     

江宁台多孔垂向地电阻率观测试验

为了提高地电阻率观测抑制地铁干扰的能力,江宁台新建了多孔垂向地电阻率观测。在观测中探讨完善了装置系数计算方法,解决了缺数问题,并通过比较同测区井下和垂向地电阻率观测数据,得出如下结论:(1)垂向观测由于布极方式较为特殊,其年变化幅度大于井下地电阻率观测同等极距;(2)与井下地电阻率观测相比,垂向地电阻率观测信噪比更高,具备更好的抗地铁干扰能力,以期为地电观测抗干扰的方法和技术应用提供基础;(3)垂向地电阻率观测建设中,可能需要重视电极的位置固定。     

Long-Term Observations of Isotope Ratio Accuracy and Reproducibility Using Quadrupole ICP-MS

High precision isotope ratio and trace element determination can be achieved with modern quadrupole ICP-MS provided that short and long-term instrument performance is accurately monitored. Here we present results for the isotope ratios ⁶Li/⁷Li, ¹⁴⁷Sm/¹⁴⁹Sm, ¹⁶⁰Dy/¹⁶¹Dy, ²⁰⁷Pb/²⁰⁶Pb, ²⁰⁸Pb/²⁰⁶Pb, ²⁰⁶Pb/²⁰⁴Pb and ²³⁵U/²³⁸U with which we determined long-term isotope ratio stability of relevance to both trace element and isotope determination. With respect to trace element determination, we first present long-term observations regarding oxide formation rates of Ba and Nd on light REE and heavy REE, as well as Zr on Ag. These showed good correlations and could be used to correct effectively the interference. The efficacy of this correction was demonstrated with analyses of the rock reference material BHVO-2 at both low and high oxide formation rates. Next, we studied the long-term reproducibility of a Dy isotope ratio that was measured to correct for the isobaric interference on Gd. It was found that, regardless of tuning condition, the ratio reproduced very well (0.58% RSD, 1s) and that the estimate of the Gd concentration did not suffer from the large correction (> 10%) caused by the Dy isobar. Long-term reproducibilities of Li, Sm and U isotope ratios, required for accurate mass bias correction when isotopically enriched internal standards of these elements are employed, were measured in the rock reference materials AGV-2 and JA-3 over a time period of up to 3 years. As expected, the Li isotope ratio showed the largest variability (RSD = 7%), but the other two ratios had relative external reproducibilities of only 1.01% (1s, U) and 0.67% (Sm). The mass bias-induced scatter in measurements for Sm and U was so small that the internal standard correction was effective, even for samples with high concentrations of these elements. With regard to Pb-isotope ratio determination, we also present long-term reproducibility for NIST SRM 982, run as an unknown and two accuracy tests for Pb separated from granitoids and from meteorites. It is demonstrated that the obtained ratios, including those involving ²⁰⁴Pb, are accurate relative to MC-ICP-MS determinations and of comparable precision to conventional TIMS analysis. The excellent agreement between all data sets shows the potential of modern quadrupole ICP-MS instrumentation for Pb-isotope determination, particularly for samples with very low Pb content.     

中国数字地震台网的建设与发展

地震台站作为地震系统基础单元,是设置地震监测设施并开展地震监测的基层机构,完备的地震监测设施和良好的地震观测环境是地震观测的基础。掌握完整、准确的地震台站基础信息是做好地震台站管理的关键。由于观测手段更新、观测环境变迁和建设条件差异的原因,投入运行后的地震台站基础信息与规划设计有偏差,一定程度上影响地震观测数据的准确性和有效性。本文论述了地震台站基础信息完善的意义,通过实例说明准确、有效的地震台站基础信息,在地震观测干扰排查、观测环境保护和台站升级改造方面的应用,旨在引起行业重视地震台站基础信息的收集、管理和应用,进而确保地震观测数据科学有效。     

Detection and Correction of AMSR-E Radio-Frequency Interference

Radio-frequency interference (RFI) affects greatly the quality of the data and retrieval products from space-borne microwave radiometry. Analysis of the Advanced Microwave Scanning Radiometer on the Earth Observing System (AMSR-E) Aqua satellite observations reveals very strong and widespread RFI contam- inations on the C- and X-band data. Fortunately, the strong and moderate RFI signals can be easily identified using an index on observed brightness temperature spectrum. It is the weak RFI that is diffi- cult to be separated from the nature surface emission. In this study, a new algorithm is proposed for RFI detection and correction. The simulated brightness temperature is used as a background signal (B) and a departure of the observation from the background (O-B) is utilized for detection of RFI. It is found that the O-B departure can result from either a natural event (e.g., precipitation or flooding) or an RFI signal. A separation between the nature event and RFI is further realized based on the scattering index (SI). A positive SI index and low brightness temperatures at high frequencies indicate precipitation. In the RFI correction, a relationship between AMSR-E measurements at 10.65 GHz and those at 18.7 or 6.925 GHz is first developed using the AMSR-E training data sets under RFI-free conditions. Contamination of AMSR-E measurements at 10.65 GHz is then predicted from the RFI-free measurements at 18.7 or 6.925 GHz using this relationship. It is shown that AMSR-E measurements with the RFI-correction algorithm have better agreement with simulations in a variety of surface conditions.