基于突变级数法的页岩气探采综合环境影响评价研究

为缓解能源紧张,页岩气作为储量丰富的非常规能源在我国正大力开发,而我国页岩气开发起步较晚,受管理与技术限制,页岩气开发造成的综合环境影响问题还得不到有效解决。针对页岩气开发存在的环境问题,本文基于我国页岩气开发现状,借鉴美国页岩气开发的成功经验,从自然环境与人文环境两方面对页岩气开发综合环境影响因素进行分析,建立了页岩气开发综合环境影响评价指标体系;同时为降低评价过程主观因素的影响,简化评估过程,本文引入突变级数法建立了页岩气开发综合环境影响评估模型,运用数值替换方法区分页岩气开发综合环境影响等级。最后将评价体系与评估模型应用到实际案例中,得到的评价结果与实际情况基本符合,为页岩气开发项目的综合环境评价提供了很好的理论依据。     

车排子凸起与沙湾凹陷过渡带的构造模型

车排子凸起位于准噶尔盆地扎伊尔山前,是夹持在南部四棵树凹陷和东部沙湾凹陷之间的三角构造带。然而对这个三角构造带是原地掩伏构造,山前推覆构造,还是走滑构造控制形成的认识存在争议。目前对于车排子凸起与沙湾凹陷过渡带的构造变形特征以及变形机制的认识尚不清楚。而过渡带是研究该区构造变形与演化的良好区域,精细研究该区域构造几何学与运动学对于揭示其构造变形机制以及认识盆山之间的关系具有积极作用,并对于该区油气勘探具有重要意义。本文以研究区的连片三维地震资料为基础,运用不整合面识别、轴面分析及平衡剖面等方法,对车排子凸起与沙湾凹陷过渡带进行精细的构造解析、建模与构造复原。研究表明,过渡带发育下二叠统（P₁j-P₁f）,中二叠统（P₂x-P₂w）,上二叠统（P₃w）,三叠系（T）,侏罗系（J）,白垩系（K）与古近系-第四系（E-Q）7个构造变形层序。发育佳木河组底部及石炭系内部滑脱层。深部（前二叠系）构造楔发育于整个过渡带,其个数和几何学形态的变化直接影响了上覆背斜形态。构造楔在早二叠世开始楔入,挤压作用持续至三叠纪末期。晚三叠世发育生长地层,显示了P-T构造层褶皱变形的时间,随后三叠纪末期,过渡带受到来自西北缘造山带方向的逆冲推覆构造的叠加作用,表现在后缘发育一系列叠瓦构造,推覆距离约为8 km,南部逆冲断层上盘二叠系-三叠系被剥蚀完全,北部残余少量下二叠统佳木河组。     

Visual MODFLOW在煤矿建设地下水环境影响评价中的应用 ——以甘肃省灵台县安家庄煤矿为例

结合甘肃省灵台县安家庄煤矿地下水环境影响评价实例,建立了评价区水文地质概念模型,并基于Visual MODFLOW对评价区地下水进行了数值模拟计算和验证;预报了设计开采条件下研究区不同含水层的地下水水位。预报结果表明:矿坑排水使得煤层所在含水层出现疏干现象,并且疏干范围随着开采范围的增加而不断扩大;在煤矿开采作用下,随着模拟时间的延续,煤系层上覆白垩系洛河组—宜君组含水层地下水位降落漏斗的范围及地下水位下降幅度不断增大,但降落漏斗的范围基本上不超过采空区范围;煤矿开采对白垩系环河组含水层无影响,至矿区开采期结束,未引起含水层水位下降;对上部孔隙、裂隙潜水含水层也无影响,至矿区开采期结束未引起含水层水位下降。     

开敞式潮滩-潮沟系统发育演变动力机制——Ⅲ.海平面上升影响

为研究海平面上升对潮滩-潮沟系统的影响,以江苏中部粉砂淤泥质海岸为原型,建立变态物理模型,模拟研究在不同海平面潮汐过程作用下的潮沟发育和演变过程,分析了潮滩淹没历时、排水密度、潮沟断面形态等特征参数变化规律。研究表明:潮沟在发育初期伸长速率高于拓宽速率,最终趋于动态平衡;海平面上升后,潮滩淹没历时增加,露滩时间缩短,归槽水对潮沟底床的塑造作用减弱;平均归槽水流长度和Horton排水长度均随海平面上升呈现出减小趋势,潮沟的排水能力增强;潮沟断面宽深比服从对数正态分布,随着海平面上升,潮沟断面面积和宽深比均呈现出增大趋势,宽深比分布范围变广。     

Geological Controls on the CBM Productivity of No.15 Coal Seam of Carboniferous–Permian Taiyuan Formation in Southern Qinshui Basin and Prediction for CBM High-yield Potential Regions

Coalbed methane (CBM) resources in No.15 coal seam of Taiyuan Formation account for 55% of the total CBM resources in southern Qinshui Basin (SQB), and have a great production potential. This study aims at investigating the CBM production in No.15 coal seam and its influence factors. Based on a series of laboratory experiments and latest exploration and development data from local coal mines and CBM companies, the spatial characteristics of gas production of No.15 coal seam were analyzed and then the influences of seven factors on the gas productivity of this coal seam were discussed, including coal thickness, burial depth, gas content, ratio of critical desorption pressure to original coal reservoir pressure (RCPOP), porosity, permeability, and hydrogeological condition. The influences of hydrological condition on CBM production were analyzed based on the discussions of four aspects: hydrogeochemistry, roof lithology and its distribution, hydrodynamic field of groundwater, and recharge rate of groundwater. Finally, a three-level analytic hierarchy process (AHP) evaluation model was proposed for predicting the CBM potentials of the No.15 coal seam in the SQB. The best prospective target area for CBM production of the No.15 coal seam is predicted to be in the districts of Panzhuang, Chengzhuang and south of Hudi.     

Paleogene Deformation and its Control Mechanism in the Central Part of Raoyang SagEI北大核心CSCD

Various Palaeogenic deformations have been recognized in the central part of the Raoyang Sag. Based on seismic interpretation, the sedimentary sequences, structure features and activity of main faults have been studied. The results show that the Xianxian detachment fault, which is located in the eastern boundary of the Raoyang Sag, was still active during the Cenozoic and controlled the basinal deformation. The detachment depth and deformation of the Xianxian detachment fault are discussed based on the area-balance theory. The results reveal that patterns of the Paleogene structures vary considerably from the north to the south. Activity of the main faults in the hanging wall of the Xianxian detachment led to a westward migration of the deposition center. On the other hand, the uplifting of the dome related to the detachment resulted in fast denudation of the overlying sediments in locals. The deformation of detachment fault and activities of the major faults controlled the Paleogene deformation in the central part of the Raoyang Sag. © 2018, Science Press. All right reserved.     

Super-resolution enhancement of UAV images based on fractional calculus and POCS

Abstract

A super-resolution enhancement algorithm was proposed based on the combination of fractional calculus and Projection onto Convex Sets (POCS) for unmanned aerial vehicles (UAVs) images. The representative problems of UAV images including motion blur, fisheye effect distortion, overexposed, and so on can be improved by the proposed algorithm. The fractional calculus operator is used to enhance the high-resolution and low-resolution reference frames for POCS. The affine transformation parameters between low-resolution images and reference frame are calculated by Scale Invariant Feature Transform (SIFT) for matching. The point spread function of POCS is simulated by a fractional integral filter instead of Gaussian filter for more clarity of texture and detail. The objective indices and subjective effect are compared between the proposed and other methods. The experimental results indicate that the proposed method outperforms other algorithms in most cases, especially in the structure and detail clarity of the reconstructed images.     

A new multipath mitigation method based on adaptive thresholding wavelet denoising and double reference shift strategy

Multipath disturbance is one of the major error sources in high-accuracy positioning for global navigation satellite system (GNSS). Although various methods based on software and hardware strategies have been developed to mitigate this error, they are still limited by different kinds of factors and the effect is not ideal. After analyzing the existing methods, a new single-difference sidereal filtering method, based on adaptive thresholding wavelet denoising and double reference shift strategy (ATDR), is proposed to mitigate multipath effects for static short-baseline GNSS applications. The key idea of the proposed method is the use of both the adaptive thresholding wavelet denoising to extract an accurate multipath correction model from the reference Day and the double reference shift strategy to mitigate multipath for subsequent Day 2 more accurately and efficiently. By applying the introduced adaptive thresholding method, the average improvement rate of the RMS values of the single-difference residuals can reach about 15.82% compared with the constant thresholding method. Moreover, after applying the proposed ATDR method, the 3D positioning precision is improved by about 37.73% for the single epoch mode with 30 s data sampling rate and about 31.22% for the continuous mode with 1 s high sampling rate compared with the original results. Even compared with the constant thresholding single orbital reference (CTSR) method, the improvement percentage is about 33.94% in single epoch mode and about 25.40% in continuous mode for 3D positioning precision, respectively. In conclusion, the results of the two experiments indicate that the proposed ATDR method performs much better than the CTSR method in mitigating multipath for different sampling rates and different processing modes in the measurement domain for GNSS static short-baseline postprocessing applications.     

Object- and pixel-based classifications of macroalgae farming area with high spatial resolution imagery

Macroalgae plays an important role in coastal ecosystems. The accurate delineation of macroalgae areas is important for environmental management. This study compared the pixel- and object-based methods using Gaofen satellite no. 2 image to explore an efficient classification approach. Expert system rules and nearest neighbour classifier were adopted for object-based classification, whereas maximum likelihood classifier was implemented in the pixel-based approach. Normalized difference vegetation index, normalized difference water index, mean value of the blue band and geometric characteristics were selected as features to distinguish macroalgae farms by considering the spectral and spatial characteristics. Results show that the object-based method achieved a higher overall accuracy and kappa coefficient than the pixel-based method. Moreover, the object-based approach displayed superiority in identifying Porphyra class. These findings suggest that the object-based method can delineate macroalgae farming areas efficiently and be applied in the future to monitor the macroalgae farms with high spatial resolution imagery.