冀东高级变质岩石的流体包裹体研究

冀东高级变质的石榴石斜长片麻岩、含或不含石榴石的角闪二辉斜长片麻岩、紫苏花岗岩、斜长角门岩等岩石中的流体包裹体主要有４类，按形成的先后顺序依次为：（１）Ｈ２Ｏ和ＣＯ２两液相包裹体，ＣＯ２的部分均一温度是－１２℃，密度１．０４ｇ／ｃｍ３，Ｈ２Ｏ含量２１％～３９％（ｍｏｌｅ％），ＣＯ２含量５０％～７１％（ｍｏｌｅ％）；（２）ＣＯ２液相包裹体，冰点温度－５６℃～－６１℃，均一温度－７．４℃～－３５．１℃，ＣＯ２密度约为１．０５ｇ／ｃｍ３，ＣＯ２含量８２．１％～９８．４％（ｍｏｌｅ％），还有少量的ＣＨ４、Ｎ２和Ｈ２等组分；（３）Ｈ２Ｏ和ＣＯ２多相包裹体，ＣＯ２的部分均一温度７℃～２８℃，ＣＯ２密度为０．６４～０．９３ｇ／ｃｍ３，气相组分以ＣＯ２、ＣＨ４和ＣＯ为主，液相成分主要是Ｈ２Ｏ和ＣＯ２；（４）多世代盐水溶液包裹体，冰点温度－０．５℃～－２０℃，盐度０．８７％～２２．８％（ｗｔ％），盐水密度０．７～１．０５ｇ／ｃｍ３，均一温度在１５０℃～２００℃和约３００℃，存在两个峰值。不同世代的流体包裹体记录了等密度降温的Ｐ－Ｔ路径。包裹体反映的变质作用早期降温过程流体的Ｈ２Ｏ／Ｈ２Ｏ＋ＣＯ２（ｍｏｌｅ）比值降低，晚期升高     

华东部分铀矿区内大气和饮用水体放射性水平调查研究

通过对华东地区２１ 个铀矿区内居民居住环境大气中氡及其子体α潜能浓度的调查,结果表明：居民居室外氡浓度均值范围为６．７３—１３２．９ Ｂｑ／ｍ ３,氡子体α潜能浓度均值范围为１１．０—７８．８ｎＪ／ｍ ３。居室内的平均氡浓度均值范围为１４．５—１８５．８ Ｂｑ／ｍ ３,氡子体α潜能浓度均值范围为１３．８—１０４．２ ｎＪ／ｍ ３;对居民饮用水源的取样分析表明,铀浓度均值范围为０．１２—１．６８ μｇ／Ｌ,钍浓度均值范围为０．０２—０．４２ μｇ／Ｌ,镭－２２６ 浓度均值范围为０．９０—１２．１ ｍ Ｂｑ／Ｌ,与全国和当地的放射性天然本底水平比较接近,均属正常本底水平。     

华东部分铀矿区内大气和饮用水体放射性水平调查研究

通过对华东地区２１个铀矿区内居民居住环境大气中氡与其子体α潜能浓度的调查,居民居室外氡浓度均值范围为６．７３～１３２．Ｂｑ／ｍ＾３,氡子体α潜能浓度均值范围为１１．０～７８．８ｈＪ／ｍ＾３。居室内的平均氡浓度范围为１４．５～１８５．８Ｂｑ／ｍ＾３,氡子体α潜能浓度均值范围为１３．８～１０４．２ｎＪ／ｍ＾３;对居民饮用水源的取样分析表明,铀的均值范围为０．１２～１．６８μｇ／Ｌ,钍的均值范围为０．０２～０．４２μｇ／Ｌ,镭－－２２６的均值范围为０．９０～１２．１ｍＢｑ／Ｌ,与全国和当地的放射性天然本底水平比较接近,均属正常本底水平。     

川口油田长6油层裂缝特征及对注水开发的影响

对川口油田长。油层岩心显裂缝作了统计、分析,并制作薄片进行了微裂缝观察。在延河剖面长６油层作了野外裂缝测量。结果表明：川口油田长６油层存在天然显裂缝与微裂缝。裂缝方向以近ＥＷ向为主,同时发育近ＳＮ向裂缝。显裂缝频率平均为０．４条／ｍ,无深变化范围不大,以高角度缝为主,只有１１．１％的裂缝被少量钙质充填,在地下多为闭合形式;微裂缝开度主要区间为５～１５μｍ,孔隙缝 被少量钙质充填,在地下多为闭合形式     

N-间甲苯基-N′-(对氨基苯磺酸钠)硫脲与铜的显色反应及应用

研究了新试剂Ｎ－间甲苯基－Ｎ′－（对氨基苯磺酸钠）硫脲（ＭＭＰＴ）与Ｃｕ２＋的显色反应。结果表明,在ｐＨ４．６～５．６的ＨＡｃ－ＮａＡｃ介质中,Ｃｕ２＋与ＭＭＰＴ形成的配合物至少稳定５ｈ,其λｍａｘ＝３７０ｎｍ,表观摩尔吸光系数为１．１２×１０５Ｌ·ｍｏｌ－１·ｃｍ－１。Ｃｕ２＋的质量浓度在０．０８～１．４ｍｇ／Ｌ时符合比尔定律,相关系数ｒ＝０．９９９１。方法简便、快速,用于铅矿中铜的分析,测定结果与监控样推荐值相符,对ｗ（Ｃｕ）＝０．８％的试样测定６次,ＲＳＤ＝３．２％。     

澜沧铅锌银铜矿床矿物包裹体及成矿物化条件的研究

矿物流体包裹体的研究表明，澜沧铅锌银铜矿床成矿流体的温度为１６０￣３５０℃，压力６９０００ｋＰａ，盐度４．６￣１７．０ＮａＣｌｗｔ％，密度０．８５￣１．０ｇ／ｃｍ＾３，ｆｓ２１０＾－９．３￣１０＾－１１．０Ｐａ，ｆｏ２１０＾－３５￣１０＾－３７Ｐａ，Ｐｈ值５．１￣５．７。成矿元素主要以氯化物络合物的形式迁移、温度降低，ｆｓ２和ｐＨ值的升高是引起矿物质沉淀的主要因素。     

5‘—硝基水杨基荧光酮与锆显色反应及其应用

在０．０８￣０．１０ｍｏｌ／Ｌ ＨＣｌ介质中，溴化十六烷基三甲铵（ＣＴＭＡＢ）存在下，Ｚｒ（Ⅳ）与５＇－硝基水杨基荧光酮（５＇－ＮＳＦ）发生显色反应，形成１：４的桔红色络合物，λｍａｘ＝５４０ｎｍ，ε为１．４６×１０＾５Ｌ·ｍｏｌ＾－１·ｃｍ＾－１，Ｚｒ（Ⅳ）含量在０￣０．５ｍｇ／Ｌ符合比尔定律。方法用于氧化铝及陶瓷釉料中锆的测定，结果与ＩＣＰ－ＡＥＳ法相符，ＲＳＤ（ｎ＝５）在１．３％￣３．７％。     

我国产出的砷铅矿族矿物的研究

砷铅矿族矿物是一族六方晶系的类质同象系列矿物，包括砷铅矿、钒铅矿和磷氯铅矿。砷铅矿呈淡黄色、浅黄绿色和灰白色六方柱状晶体产出，Ｈｍ＝３．５，Ｄ≥６．７５ｇ／ｃｍ３，一轴晶负光性，Ｎ＞２，晶胞参数为ａ０＝１．０２５１ｎｍ，Ｃ０＝０．７４４ｎｍ，Ｚ＝２。广西德保矿区产出的砷铅矿的化学成分为（ｗｔ．％）：ＰｂＯ７４．９４，Ａｓ２Ｏ５１９．５３，Ｐ２Ｏ５２．３１，ＣｕＯ０．３６，Ｃｌ２．４１，总量为９９．５５。云南个旧矿区产出的钒铅矿呈桔红色至红褐色，六方短柱状自形晶，Ｈｍ＝３．０，Ｄｘ＝６．９５ｇ／ｃｍ３，一轴晶负光性，Ｎ＞２，晶胞参数为ａ０＝１．０３１ｎｍ，Ｃ０＝０．７４３ｎｍ，Ｚ＝２，空间群为Ｐ６３／ｍ，其化学成分为（ｗｔ．％）：ＰｂＯ７９．９８，Ｖ２Ｏ５１８．９４，Ｃｌ２．６１，总量为１０１．５３。广西阳朔产出的磷氯铅矿，呈暗绿色六方柱状晶体产出，Ｈｍ＝３．５，Ｄ＝６．９８ｇ／ｃｍ３，一轴晶正光性，Ｎ＝２±，平均化学成分为（ｗｔ．％）：ＰｂＯ８１．６４，Ｐ２Ｏ５１５．０８，Ａｓ２Ｏ５０．１０，ＣｕＯ０．２０，Ｃｌ２．６７，总量为９９．６９。     

高温高压下水的剪切粘滞度的平衡分子动力学计算

本项工作用ＴＩＰ４Ｐ模型对水分子进行了平衡分子动力学模拟。根据Ｇｒｅｅｎ－Ｋｕｂｏ理论,计算了温度从６５２Ｋ到８１４Ｋ,密度从０．５３６０ｇ／ｃｍ３到０．８６３８ｇ／ｃｍ３六个不同温度和密度水的剪切粘滞度,并和实验值进行了对比。在所计算的温度和密度范围,平衡分子动力学计算结果与实验值的平均绝对值差别为１５％,好于使用非平衡分子动力学方法获得的粘滞度值。平衡分子动力学的方法将是获得地学中高温高压下流体输运性质的重要途径。     

碳糊电极循环伏安法测定γ—和β—二氧化锰物相

利用碳糊电极循环伏安法对γ－ＭｎＯ２和β－ＭｎＯ２进行了定量分析，相对于２００．０ｍｇ碳粉的线性范围分别为γ－ＭｎＯ２９．１３～４５．６ｍｇ；β－ＭｎＯ２４．５６～３６．５ｍｇ，在线性范围内测量７次，其ＲＳＤ分别为０．５９％～５．２８％和０％～５．７２％。同时对γ－ＭｎＯ２和β－ＭｎＯ２的混合试样及湘潭电解二氧化锰也进行了定量测定，其平均相对误差分别为２．０１％～１２．４％和１．９６％～７．５２％     

多维地震荷载等效循环周数计算模型

地震波是一种多维的随机荷载,一般在参数测定中应将其转化为等效循环荷载。采用有限元模拟多向地震荷载作用下的砂土动力响应,介绍了弹塑性边界面模型及其参数的含义,阐述了确定参数的方法,选取涵盖大震、中震、近场、远场及不同土质条件的155组多向地震输入时程进行单向、多向加载。利用混合效应回归分析法,建立了多向地震荷载作用下等效循环周数计算模型,分析验证了该模型的准确性。提出了基于等效循环周数比的多维地震荷载作用下等效循环周数计算方法。研究表明：模型预测值能较好地反映等效循环周数实际值的变化趋势;震级和震中距对等效循环周数比影响不明显;砂土特性对等效循环周数比的影响具有主导作用, 在不同震级范围内,等效循环周数比均随着相对密度的增大而增大,对应于相对密度为45%、60%、80%、100%的砂土,等效循环周数比分别近似为1.60、1.85、1.90和2.05。     

低渗储层裂缝发育期次研究

低渗储层中的裂缝是不同时期构造应力场的产物,具有不同的裂缝样式,确定裂缝形成期次对裂缝研究和油气聚集研究具有重要意义。岩心观察法:适用于存在明显切割关系、限制终止和组系关系的裂缝,低渗储层裂缝不发育,组系性差,这种方法通常受限。产状分析法:除分析裂缝的走向外,还需要重视倾向和倾角,并结合区域和局部构造应力场对裂缝进行期次划分。充填物分析法:需结合充填物类型、特征,以及充填物形成时的沉积、构造、油气充注特征,以达到准确划分的目的。声发射方法:可能提供裂缝发育的期次,需要结合区域声发射资料及区域构造演化史,才能准确判断裂缝的具体形成时期。综合运用上述方法,得出渤海湾盆地东营凹陷牛35块沙三中裂缝的发育期次分为4期:沙三中—沙二期、沙一—东营期、东营末期和明化镇期。     

基于量纲分析的非充分采动导水裂缝带高度预测

为准确预测非充分采动导水裂缝带高度,选取开采厚度M、煤层埋深H、工作面倾斜长度L、煤层倾角α、覆岩力学性质R、覆岩结构特征S为非充分采动导水裂缝带高度主要影响因素。采用量纲分析建立了导水裂缝带高度与M,H,L,α,S间的无量纲关系式。结合30组实测数据,采用多元回归得到无量纲关系式的最优函数关系式。选取2个非充分采动工作面导水裂缝带现场实例对预测模型进行了工程验证,预测模型预测结果与实测结果吻合良好,其相对误差分别为3.64%和2.93%,预测模型的预测精度可以满足煤矿安全生产现场需要。      

Burden prediction in blasting operation using rock geomechanical properties

Burden prediction is a vital task in the production blasting. Both the excessive and insufficient burden can significantly affect the result of blasting operation. The burden which is determined by empirical models is often inaccurate and needs to be adjusted experimentally. In this paper, an attempt was made to develop an artificial neural network (ANN) in order to predict burden in the blasting operation of the Mouteh gold mine, using considering geomechanical properties of rocks as input parameters. As such here, network inputs consist of blastability index (BI), rock quality designation (RQD), unconfined compressive strength (UCS), density, and cohesive strength. To make a database (including 95 datasets), rock samples are used from Iran’s Mouteh goldmine. Trying various types of the networks, a neural network, with architecture 5-15-10-1, was found to be optimum. Superiority of ANN over regression model is proved by calculating. To compare the performance of the ANN modeling with that of multivariable regression analysis (MVRA), mean absolute error (E _a), mean relative error (E _r), and determination coefficient (R ²) between predicted and real values were calculated for both the models. It was observed that the ANN prediction capability is better than that of MVRA. The absolute and relative errors for the ANN model were calculated 0.05 m and 3.85%, respectively, whereas for the regression analysis, these errors were computed 0.11 m and 5.63%, respectively. Moreover, determination coefficient of the ANN model and MVRA were determined 0.987 and 0.924, respectively. Further, a sensitivity analysis shows that while BI and RQD were recognized as the most sensitive and effective parameters, cohesive strength is considered as the least sensitive input parameters on the ANN model output effective on the proposed (burden).     

Medium-range forecast of cyclogenesis over North Indian Ocean with multilayer perceptron model using satellite data

An attempt is made in this study to develop a model to forecast the cyclonic depressions leading to cyclonic storms over North Indian Ocean (NIO) with 3 days lead time. A multilayer perceptron (MLP) model is developed for the purpose and the forecast quality of the model is compared with other neural network and multiple linear regression models to assess the forecast skill and performances of the MLP model. The input matrix of the model is prepared with the data of cloud coverage, cloud top temperature, cloud top pressure, cloud optical depth, cloud water path collected from remotely sensed moderate resolution imaging spectro-radiometer (MODIS), and sea surface temperature. The input data are collected 3 days before the cyclogenesis over NIO. The target output is the central pressure, pressure drop, wind speed, and sea surface temperature associated with cyclogenesis over NIO. The models are trained with the data and records from 1998 to 2008. The result of the study reveals that the forecast error with MLP model varies between 0 and 7.2 % for target outputs. The errors with MLP are less than radial basis function network, generalized regression neural network, linear neural network where the errors vary between 0 and 8.4 %, 0.3 and 24.8 %, and 0.3 and 32.4 %, respectively. The forecast with conventional statistical multiple linear regression model, on the other hand, generates error values between 15.9 and 32.4 %. The performances of the models are validated for the cyclonic storms of 2009, 2010, and 2011. The forecast errors with MLP model during validation are also observed to be minimum.     

基于KRR优化算法的油水系统中CO2溶解度模型

油藏中注入CO2可形成CO2原油地层水三相动态平衡,CO2在油水系统中的溶解度将直接影响CO2驱油效果和封存潜力。为了对CO2在油水系统中的溶解度模型进行研究,以吉林油田某油水系统为例,利用高温高压PVT分析仪开展CO2在不同体积比例油水系统中的溶解度实验,明确了CO2在油水系统中的溶解规律,并基于实验数据,分别利用网格搜索法(GS)和贝叶斯优化算法(BOA)对核岭回归算法(KRR)的参数进行优化,建立了CO2在油水系统中的溶解度预测模型。研究结果表明：CO2在油水系统中的溶解度随CO2注入量的增加而增大,也随油水体积比升高而增大;基于KRR算法的优化模型中,GSKRR模型和BOAKRR模型平均相对误差分别为6.758%和1.998%,说明BOAKRR具有更高的预测精度。利用BOAKRR模型预测并绘制不同温度、不同油水体积比下的CO2在油水系统中的溶解度图版,可为CO2碳捕集、利用与封存（CCUS）技术的应用提供支持。     

豫西北太行山奥陶系露头区裂缝发育特征及主控因素

在总结前人研究资料和实地观测豫西北太行山奥陶系5处露头区的基础上,运用地质统计学与构造应力场分析的方法,对豫西北太行山奥陶系露头区裂缝发育特征及其主控因素进行了研究。结果表明：研究区以高角度裂缝为主,可分为北北西、北西西、北北东和北东东向4组,裂缝切深变化较大,野外可见的切深多为0.15～1.4 m,裂缝线密度为1～10条/m,裂缝张开度一般介于0.1～3 cm之间;裂缝充填程度包括未充填、半充填和全充填3种,以未充填裂缝为主,半充填和全充填裂缝次之;裂缝充填物以方解石为主,灰泥质充填和铁质充填次之。通过对研究区裂缝主控因素和成因机制分析,认为其主要形成于古近纪、中新世、上新世至更新世早期、中更新世以来4个时期;构造作用、岩性和岩层厚度是影响其发育的最主要因素,其中构造作用对裂缝的倾向、倾角、张开度、切深、充填状况等影响较大,岩性及层厚与裂缝线密度关系密切,岩层内白云质含量愈高裂缝越发育,且裂缝线密度平均值与岩层厚度平均值具有良好线性关系。     

青藏高原高寒草地植被指数变化与地表温度的相互关系

为了解脆弱的高原生态环境对升温过程的响应, 利用1982-2006年国家标准地面气象站地表温度和GIMMS-NDVI数据集, 探讨了青藏高原高寒草地植被指数和地表温度的变化特征及其相互关系. 结果表明:1982-2006年, 高寒草地NDVI、地表温度整体均呈现增加趋势, 年均NDVI、生长季NDVI、年最大NDVI(NDVI_max)与年均地表温度、生长季地表温度的上升趋势分别为0.007 (10a)^-1、0.011 (10a)^-1、0.007 (10a)^-1与0.60 ℃·(10a)^-1、0.43 ℃·(10a)^-1; NDVI_max与地表温度显著相关的地区达70.49%. 但是高原地形、气候、水文环境的空间差异性导致高寒草地NDVI与地表温度的相关关系十分复杂. NDVI_max与年均地表温度的相关性最为显著; 在返青期和枯萎期, NDVI与地表温度均为显著正相关. 不同的植被覆盖条件下, NDVI对地表温度的响应不同:植被覆盖差以及退化严重的地区, NDVI_max与地表温度呈负相关性; 反之, NDVI_max与地表温度主要表现为正相关.     

Hydrocarbon maturation modeling of Paleocene to Lower Miocene source rocks in the Niger Delta Basin: implications for hydrocarbon generation

This study evaluates the hydrocarbon generation potentials and time of generation for Paleocene to Lower Miocene source rock horizons from A-1, B-1, B-2, and C-1 wells in the Niger Delta Basin using 1D Petromod modeling software. Wells A-1, B-1 and B-2, and C-1 are located within the Central Swamp, the Coastal Swamp, and the Shallow Offshore depobelts, respectively. The thermal history was derived from the rifting–subsidence heat flow model. Maturity modeling were carried out by using Easy%Ro kinetic model and a heat flow history predicting present-day heat flow which were calibrated with measured temperature data. Results of the study suggest that these potential source rocks have attained maturity status to generate hydrocarbons, with vast differences existing in the timing of the onset of oil generation. Basin modeling suggests that Paleocene source rocks entered the oil generative window from the Oligocene to Miocene times with thermal maturity window that varies from gas generation to early-mature phase. The Eocene source rocks have also attained maturity from Miocene to Pliocene times, and their thermal maturity ranges from gas generation to early maturity stage. The Oligocene source rocks also began to generate oil during the Miocene and are currently within the early-mature to mid-mature stage. The thermal maturity window for the Lower Miocene source rocks ranges from immature to early-mature stage. The present modeling results reveals that higher levels of thermal maturity are attained in areas with high geothermal gradients and heat flow values while the cooler areas exhibits lower levels of maturation. The onset of the oil window lies at 2859 m at A-1 (Central Swamp), 3240 m at B-2 (Coastal Swamp), 4732 m at B-1 (Coastal Swamp), and 4344 m at C-1 (Shallow Offshore). The depth to the onset of oil window is found deeper in the Shallow Offshore and western parts of the study area than in the eastern and northwestern parts. The result of this study suggest that the Paleocene, Eocene, Oligocene, and Lower Miocene source rocks are the principal source rocks for oil and gas generation in the Niger Delta Basin.     

围压下泥岩断裂韧性测试与解释方法

根据围压条件下的断裂力学理论 ,采用双翼裂纹厚壁圆筒 ,对泥岩进行了不同围压和不同泥质含量条件下的人工岩样断裂韧性测试。建立了有限元方法解释断裂韧性的数值模型。在进行大量实验测试的基础上 ,通过回归分析表明 ,断裂韧性与围压、泥质含量有较好的线性统计关系。解决了水力压裂设计中断裂韧性参数的准确获取问题 ,有利于提高压裂设计、预测的精度