新疆坡北矿区ZK2-6孔钻探施工技术

新疆坡北矿区ZK2-6孔施工中遇到多层蚀变带,最长连续强蚀变带达30 m,在以往施工过程中,因卤水配制的泥浆性能难以保证,不利于孔壁的稳定,导致在钻进过程中,孔壁剥落超径、断钻杆事故频发。钻杆断开后,由于孔壁坍塌,找不到事故头,从而导致钻孔报废。针对蚀变、破碎地层钻进易发生的孔壁坍塌、超径、掉块及卤水泥浆性能难以保证等问题,开展相关研究,提出相应的技术措施,圆满完成了坡北工区ZK2-6孔的钻探施工。     

山东省牛庄洼陷古近系沙河街组沙三中亚段储集层成岩作用研究

山东省牛庄洼陷古近系沙河街组沙三中亚段储集层岩石类型以长石岩屑砂岩和岩屑长石砂岩为主,岩石结构成熟度和成分成熟度均较低。砂岩成岩作用包括压实作用、胶结作用、交代作用、溶解作用等。压实作用主要有刚性颗粒发生脆性破裂、颗粒之间呈线接触和凹凸接触、岩石碎屑颗粒呈明显的定向排列、塑性颗粒挤压变形或刚性颗粒嵌入变形颗粒中、粘土质碎屑被挤压变形发生假杂基化等五种表现形式。胶结物主要有泥质胶结物、碳酸盐胶结物、自生粘土矿物和自生石英、长石。交代作用主要有石英交代长石颗粒、碳酸盐胶结物交代石英、长石及岩屑颗粒、碳酸盐胶结物之间的相互交代。发生溶解作用的主要是石英、长石和岩屑颗粒,胶结物中主要是碳酸盐矿物。目前研究区沙三中亚段储集层成岩演化处于晚成岩A期。影响成岩作用的主要因素为岩石成分、沉积环境、孔隙流体性质等。成岩作用对储集物性的影响主要表现在孔隙度和渗透率的变化,其中压实作用和胶结作用使储层原生孔隙迅速减少、渗透率降低,使得储集物性变差;而溶解作用是次生孔隙发育的主要因素,从而改善砂岩的储集性能。     

大湖塘矿集区燕山成矿阶段矿床成矿系列研究及找矿问题探讨

大湖塘矿集区位于赣西北九岭成矿带西北部位,区内燕山期岩浆岩侵入活动及成矿作用强烈。大湖塘燕山期岩浆岩形成时间分布在130.3 Ma~151.4 Ma之间,可划分为三次侵入:130.3 Ma~134.3 Ma、140.4 Ma~144.4 Ma、146.4 Ma~151.4 Ma;在144.4 Ma~146.4 Ma之间,岩浆活动处于休宁阶段。区内燕山期岩浆岩与矿床在形成时间上十分接近,空间关系上相互依存,并显示特定的分布格局。根据区内矿床的分布特点、产出位置、成矿时间、燕山期花岗岩与矿床的相关性等特征,可将大湖塘矿集区由北向南依次划分为W、Mo—W、Mo、Cu、Pb、Zn—Cu、Pb、Zn、Au、Ag三个成矿系列,并提出了"北钨南铜"的找矿观点。区内双桥山群与成矿,燕山期岩浆岩的起源,矿床等间距分布,以及重力勘探方面的研究应加强。     

秦岭凤太矿集区铅锌金矿区域成矿规律研究

陕西秦岭凤太矿集区位于商丹缝合带和勉略缝合带之间,是著名的铅锌金多金属矿集区,区内发育海相沉积改造型铅锌矿和构造蚀变岩型金矿,成矿类型多样.在矿床地质特征、成矿地质条件、铅锌金矿时空分布规律、成矿流体来源研究分析的基础上,对凤太矿集区铅锌金矿成矿规律进行了剖析.认为凤太矿集区铅锌金矿床是多种成矿作用叠加改造形成的,早期...     

淮南矿区煤矸石的物质组成特征及资源化评价

本文利用各种测试方法,对淮南谢桥、新庄孜和张集煤矿采集的不同层位来源的240个煤矸石样品的化学成分、矿物成分和微量元素的进行测试与分析,得出了淮南矿区不同煤矿煤矸石的化学成分特征及其中微量元素的含量变化,评价了煤矸石中有害元素的环境影响作用。结合煤矸石基本特征,提出了合理的资源化利用途径,为煤矿开采过程的主要固体废物煤矸石综合利用和资源化、煤矿环境保护提供了参考资料。     

关中盆地地下热水接受补给时温度及热储层温度的估算

通过对关中盆地地热井中地下热水的同位素和水化学成分分析,结合研究区的地热地质和水文地质条件,进行了地下热水补给时的温度研究,结果表明,关中盆地地下热水接受补给时的温度以西安地区最低,咸阳次之。同时应用Na-K-Mg三角图和水化学平衡温度理论的方法,估算在平衡条件下关中盆地最大热储温度为118℃。热储温度计算结果表明,关中盆地腹部应为中低温热储层。     

山西地区的波速比（V_P/V_S）特征研究

利用山西台网的数字地震观测资料,采用单震多台和达法、多震多台联合测定法,对山西北部、中部和南部地区波速比进行分析研究,结果表明：在2010年1月24日的河津万荣4.8级地震、4月4日的大同4.5级地震和6月5日阳曲4.6级地震前均存在波速比下降现象,其中前2次地震发生在波速比下降过程中,第3次地震则发生在波速比异常恢复阶段。之后山西中部和北部的波速比处于低值,尤其是山西北部的波速比低值持续,说明山西省北部是比较危险的区域。     

东北冷涡南落型强对流天气的潜势预报分析

通过2005-2008年4-6月Micaps资料,查找500 hPa东北有冷涡,500 hPa和700 hPa江苏境内为大片的西北气流,当天午后到夜里出现强对流天气的若干典型个例,借助Micaps系统通过对一些个例的物理量资料分析,得出它们共同的发生强对流天气的机理;同时还分析得出诊断该类对流天气的不太适合使用的物理量和较适合使用的物理量;并分析个例的大气探空层结曲线,得出它们的对流层结与其它类型的区别,并剖析它们的一日转变情况;同时用Q矢量锋生函数方法分析,发现低层强锋生区域与强对流天气区域有较好的对应关系,锋生函数正值中心区域常出现个别站龙卷或大范围冰雹.     

天津滨海地区浅层剪切波速与基底构造关系研究

Shear wave velocity is one of the important dynamic characteristics of soil layers and applied widely in aseismic engineering. In this paper, 500 drill logging data are used to make a linear interpolation based on 0.01°×0.01°×1m grid. A shallow 3-D shear wave velocity structure of Tianjin coastal area is obtained. According to the data and geological background, we selected two typical velocity profiles to try to introduce and explain its relationship to basement structure. The results show that the shear wave velocity structure clearly presents the characteristic of stratification and lateral inhomogeneity. Furthermore, the difference of the shear wave structure between tectonic elements is clear and the velocity structure between the two sides of the local or border fault in the Quaternary is disturbed or affected significantly. It intuitively shows that the basement structure and fault activity of this region had good control of sedimentation development and strata formation in the Quaternary period which would have an important effect on engineering seismic and geological condition evaluation.     

Including spatial distribution in a data‐driven rainfall‐runoff model to improve reservoir inflow forecasting in Taiwan

Multi‐step ahead inflow forecasting has a critical role to play in reservoir operation and management in Taiwan during typhoons as statutory legislation requires a minimum of 3‐h warning to be issued before any reservoir releases are made. However, the complex spatial and temporal heterogeneity of typhoon rainfall, coupled with a remote and mountainous physiographic context, makes the development of real‐time rainfall‐runoff models that can accurately predict reservoir inflow several hours ahead of time challenging. Consequently, there is an urgent, operational requirement for models that can enhance reservoir inflow prediction at forecast horizons of more than 3 h. In this paper, we develop a novel semi‐distributed, data‐driven, rainfall‐runoff model for the Shihmen catchment, north Taiwan. A suite of Adaptive Network‐based Fuzzy Inference System solutions is created using various combinations of autoregressive, spatially lumped radar and point‐based rain gauge predictors. Different levels of spatially aggregated radar‐derived rainfall data are used to generate 4, 8 and 12 sub‐catchment input drivers. In general, the semi‐distributed radar rainfall models outperform their less complex counterparts in predictions of reservoir inflow at lead times greater than 3 h. Performance is found to be optimal when spatial aggregation is restricted to four sub‐catchments, with up to 30% improvements in the performance over lumped and point‐based models being evident at 5‐h lead times. The potential benefits of applying semi‐distributed, data‐driven models in reservoir inflow modelling specifically, and hydrological modelling more generally, are thus demonstrated. Copyright © 2012 John Wiley & Sons, Ltd.