西藏罗布莎铬铁矿区高海拔巨厚覆盖层钻探技术          下载免费PDF全文

刘祥  兰沁  许飞  周春华  谭启奎 《探矿工程》2021,48(6):49-56

西藏罗布莎铬铁矿区海拔高、覆盖层厚、地质条件复杂,岩层破碎、裂隙发育,局部岩层水溶、水蚀、水敏,存在地层漏失、缩径等钻探难题。本文总结了该区28个中深钻孔施工经验,包括：钻孔结构、钻进工艺、冲洗液、护壁堵漏技术、复杂情况采取的技术措施等,取得了较好的效果,各项指标满足设计要求,岩（矿）心采取率达到90%以上,台月效率555 m,各项质量指标均符合设计要求。  相似文献   

六种成膜封堵剂的室内实验优选与评价          下载免费PDF全文

王建伟 《探矿工程》2021,48(3):73-77

为更好地服务深部钻探工程,准确了解冲洗液封堵性能,对6种成膜封堵剂开展了砂床实验、API静失水量实验、流变性能实验及抗温实验等室内实验进行优选与评价。实验结果表明,2号和4号成膜封堵剂在6种成膜封堵剂中封堵性能最好,它们在基浆中的最优加量均为2%,100 ℃温度条件下加入这2种封堵剂的冲洗液具有较好的抗温性能;冲洗液中膨润土含量和处理剂是影响冲洗液封堵性能的2个重要因素：膨润土含量越高,冲洗液封堵性能越好,加入聚合物、降滤失剂等处理剂可以提高冲洗液的封堵性能。砂床实验是评价冲洗液封堵性能好坏的重要依据。  相似文献   

深孔纳米复合水泥基护壁堵漏材料研究          下载免费PDF全文

王胜  吴丽钰  蒋贵  张统得  陈礼仪 《探矿工程》2021,48(12):7-13

本文围绕深部钻探技术中护壁堵漏材料性能的实际需要,研制了一种深孔纳米复合水泥基护壁堵漏新材料。首先,通过分析100 ℃条件下2种水泥材料的基本性能,确定了G级油井水泥为胶凝材料;然后,基于深孔钻探护壁堵漏材料的性能缺陷,采用特种纤维、纳米材料针对性改善水泥基浆液的力学性能,并优选早强剂（ZQ）、减水剂（GB）作为外加剂进行正交实验,进而研制出纳米复合水泥基护壁堵漏材料优化配方;最后,对其主要性能进行分析评价。结果表明该材料在深孔钻探中浆液流动性好,力学性能优异,综合性能满足深孔钻探护壁堵漏需求。  相似文献   

护坡桩+微型钢管桩复合土钉墙联合支护体系研究应用          下载免费PDF全文

孙剑  范民浩  李鑫 《探矿工程》2021,48(10):116-124

本文提出了一种新的联合支护体系——护坡桩+微型钢管桩复合土钉墙支护体系,成功解决了基坑周边无放坡空间需垂直开挖、基坑深度大、要求位移小、支护费用高等技术难题,做到了施工便利,对控制边坡位移变形、增强边坡整体稳定性、保证在基坑开挖工程中不发生对周围环境的影响具有良好的作用。采用这种支护方式对北京一工程进行设计施工探讨,经工后监测效果良好,大大地提高了边坡的安全稳定性,从而验证了这一支护形式的可行性,其在深基坑支护中具有常规土钉墙和护坡桩无法相比的技术与经济优势,可供其他类似工程参考,具有较高的适用推广价值。  相似文献   

空气潜孔锤钻进技术在舜皇山基岩地热深井的应用          下载免费PDF全文

石荆京  张海林  苏园园  胡志航  郑秀华 《探矿工程》2021,48(10):36-42

空气潜孔锤钻进技术不仅可以提高钻探效率,而且不损害地热储层,因此在地热井中的应用十分广泛,但是仍受到钻探深度和出水量的限制。在湖南永州舜皇山基岩地热深井钻探过程中,常规牙轮钻进与泥浆钻进工艺存在钻进效率低、堵塞储层、影响出水量的可能。应用空气潜孔锤钻进技术实现了钻探深度的突破,钻探深度达到1820 m,实际出水量400 m³/d,出水温度43 ℃,符合设计指标。本文总结了相应的钻进工艺措施,以期促进对该技术在地热深井中的推广应用。  相似文献   

南极东方站深冰层及冰下湖钻探技术          下载免费PDF全文

王秋雯  李冰  Pavel Talalay  孙友宏  张楠  宫达  杨阳  范晓鹏 《探矿工程》2021,48(9):34-45

自1970年至今,前苏联和俄罗斯在南极东方站持续进行了近50年的冰层钻探活动,先后攻克了包含粒雪层、冰层、冰岩夹层和湖水冻结冰的复杂冰层钻进难题,逐渐形成了一套集热融取芯钻探、电动机械取芯钻探和分支孔钻探等为一体的深冰芯钻探技术。创造了冰层最深干孔钻进深度记录（952.4 m）、最深热融取芯钻进记录（2755 m）、最深冰芯钻探记录（3769.3 m）,累计进尺达13000 m,并获取了总长超46 m的含湖水冻结冰样品的冰芯。东方站的钻探活动对极地冰层钻探技术的发展起到了巨大的推动和引领作用,同时积累了宝贵的深冰钻探经验。通过对东方站深冰钻探技术的系统梳理,将为我国正在实施的深冰芯钻探和即将开启的冰下湖科学钻探提供重要的借鉴。  相似文献   

磁矢量三维反演技术在深部铀矿勘查中的应用前景探讨     

王培建 《铀矿地质》2021,(1):96-104

磁矢量三维反演是近年发展起来的磁反演技术,能三维显示地下不同磁性体的空间展布,国外在磁性矿产勘查方面应用效果明显,开展该方法在铀矿勘查中的应用研究,可为寻找隐伏铀矿提供方法技术参考。文章简要介绍了磁矢量三维反演的基本理论,在此基础上选择龙首山铀成矿带中段新水井-芨岭地区的航磁数据分析其在碱交代型铀矿勘查中的应用效果,并利用二连盆地锡林浩特地区的航磁数据探索其在古河道型铀矿中的应用效果,探讨了将该技术应用于深部铀矿勘查的前景。结果表明:在碱交代型铀矿勘查中,磁反演结果可以较好地定位深部岩性界面这一有利找铀环境的空间位置;在古河道型铀矿勘查中,磁反演可以分辨出局部隆坳格局,缩小寻找深部古河道发育有利地段的范围。磁矢量三维反演可为寻找深部有利铀成矿环境提供地球物理参考,值得推广应用。  相似文献   

A novel index to evaluate discretization methods:A case study of flood susceptibility assessment based on random forest     

Xianzhe Tang  Takashi Machimura  Wei Liu  Jiufeng Li  Haoyuan Hong 《地学前缘(英文版)》2021,12(6):313-325

The selection of a suitable discretization method(DM)to discretize spatially continuous variables(SCVs)is critical in ML-based natural hazard susceptibility assessment.However,few studies start to consider the influence due to the selected DMs and how to efficiently select a suitable DM for each SCV.These issues were well addressed in this study.The information loss rate(ILR),an index based on the informa-tion entropy,seems can be used to select optimal DM for each SCV.However,the ILR fails to show the actual influence of discretization because such index only considers the total amount of information of the discretized variables departing from the original SCV.Facing this issue,we propose an index,infor-mation change rate(ICR),that focuses on the changed amount of information due to the discretization based on each cell,enabling the identification of the optimal DM.We develop a case study with Random Forest(training/testing ratio of 7:3)to assess flood susceptibility in Wanan County,China.The area under the curve-based and susceptibility maps-based approaches were presented to compare the ILR and ICR.The results show the ICR-based optimal DMs are more rational than the ILR-based ones in both cases.Moreover,we observed the ILR values are unnaturally small(＜1％),whereas the ICR values are obviously more in line with general recognition(usually 10％-30％).The above results all demonstrate the superiority of the ICR.We consider this study fills up the existing research gaps,improving the ML-based natural hazard susceptibility assessments.  相似文献   

Spatial landslide susceptibility assessment using machine learning techniques assisted by additional data created with generative adversarial networks     

Husam A.H.Al-Najjar  Biswajeet Pradhan 《地学前缘(英文版)》2021,12(2):625-637

In recent years,landslide susceptibility mapping has substantially improved with advances in machine learning.However,there are still challenges remain in landslide mapping due to the availability of limited inventory data.In this paper,a novel method that improves the performance of machine learning techniques is presented.The proposed method creates synthetic inventory data using Generative Adversarial Networks(GANs)for improving the prediction of landslides.In this research,landslide inventory data of 156 landslide locations were identified in Cameron Highlands,Malaysia,taken from previous projects the authors worked on.Elevation,slope,aspect,plan curvature,profile curvature,total curvature,lithology,land use and land cover(LULC),distance to the road,distance to the river,stream power index(SPI),sediment transport index(STI),terrain roughness index(TRI),topographic wetness index(TWI)and vegetation density are geo-environmental factors considered in this study based on suggestions from previous works on Cameron Highlands.To show the capability of GANs in improving landslide prediction models,this study tests the proposed GAN model with benchmark models namely Artificial Neural Network(ANN),Support Vector Machine(SVM),Decision Trees(DT),Random Forest(RF)and Bagging ensemble models with ANN and SVM models.These models were validated using the area under the receiver operating characteristic curve(AUROC).The DT,RF,SVM,ANN and Bagging ensemble could achieve the AUROC values of(0.90,0.94,0.86,0.69 and 0.82)for the training;and the AUROC of(0.76,0.81,0.85,0.72 and 0.75)for the test,subsequently.When using additional samples,the same models achieved the AUROC values of(0.92,0.94,0.88,0.75 and 0.84)for the training and(0.78,0.82,0.82,0.78 and 0.80)for the test,respectively.Using the additional samples improved the test accuracy of all the models except SVM.As a result,in data-scarce environments,this research showed that utilizing GANs to generate supplementary samples is promising because it can improve the predictive capability of common landslide prediction models.  相似文献   

APG:A novel python-based ArcGIS toolbox to generate absence-datasets for geospatial studies     

Seyed Amir Naghibi  Hossein Hashemi  Biswajeet Pradhan 《地学前缘(英文版)》2021,12(6):90-104

One important step in binary modeling of environmental problems is the generation of absence-datasets that are traditionally generated by random sampling and can undermine the quality of outputs.To solve this problem,this study develops the Absence Point Generation(APG)toolbox which is a Python-based ArcGIS toolbox for automated construction of absence-datasets for geospatial studies.The APG employs a frequency ratio analysis of four commonly used and important driving factors such as altitude,slope degree,topographic wetness index,and distance from rivers,and considers the presence locations buffer and density layers to define the low potential or susceptibility zones where absence-datasets are gener-ated.To test the APG toolbox,we applied two benchmark algorithms of random forest(RF)and boosted regression trees(BRT)in a case study to investigate groundwater potential using three absence datasets i.e.,the APG,random,and selection of absence samples(SAS)toolbox.The BRT-APG and RF-APG had the area under receiver operating curve(AUC)values of 0.947 and 0.942,while BRT and RF had weaker per-formances with the SAS and Random datasets.This effect resulted in AUC improvements for BRT and RF by 7.2,and 9.7％from the Random dataset,and AUC improvements for BRT and RF by 6.1,and 5.4％from the SAS dataset,respectively.The APG also impacted the importance of the input factors and the pattern of the groundwater potential maps,which proves the importance of absence points in environmental bin-ary issues.The proposed APG toolbox could be easily applied in other environmental hazards such as landslides,floods,and gully erosion,and land subsidence.  相似文献