松科二井邻域沙河子组含油气地层结构特征——基于测井和地震数据的分析          下载免费PDF全文

符伟  侯贺晟  张交东  刘财  冯晅  卢占武 《中国地质》2019,46(5):1052-1060

松辽盆地大陆深部科学钻探工程"松科二井"获得了最完整的沙河子组地层岩心,初步识别出深部页岩气气测异常43层,累计厚度102 m,显示出沙河子组地层具有良好的深部能源前景。为进一步分析松辽盆地沙河子组地层油气资源潜力,本文在前人研究的基础上,结合松科二井测井、岩心数据和地震数据,分析松科二井邻域沙河子组地层的层序特征和空间展布,同时以随钻录井记录到的气测异常为出发点,分析沙河子组地层的测井和地震响应。结果显示:松科二井邻域沙河子组地层具有厚度大、横向延续小的地层展布特点,根据测井、岩心及地震数据,将沙河子组地层分为4个三级层序:SQ1、SQ2、SQ3和SQ4,其中顶部SQ4层序具有较好的油气前景,其岩性以泥岩为主,并具有相对较高孔隙度、低波阻抗的测井曲线特征,在地震剖面上表现为连续强振幅,阻抗反演剖面上存在局部低波阻抗特征,揭示了该区沙河子组深层天然气资源的赋存条件。  相似文献   

浮力下管技术在天津东丽CGSD01地热调查井中的应用          下载免费PDF全文

许本冲  和国磊  宋志彬  马汉臣  秦如雷 《探矿工程》2019,46(4):14-17

CGSD01井是中国地质调查局部署在天津市东丽区的一口4000 m深的地热调查井,对天津东丽湖地区深层地热资源评价具有重要意义,对成井质量要求较高。中国地质科学院勘探技术研究所结合“4000 m地质岩心钻探成套技术装备”项目成果XD40型钻机试验,在钻机钩载能力较小的情况下,创新性地采用浮力下管技术完成了该井一开直径3397 mm深度达1467 m的套管下入作业,为后续施工打下了良好的基础。本文介绍了浮力下管技术的理论分析和实际应用。  相似文献   

不整合体结构特征研究: 以永1井区侏罗系-白垩系不整合为例     

官伟  徐怀民  李涵  程磊  马永辉 《现代地质》2019,33(2):401-411

永1井区位于准噶尔盆地腹部昌吉凹陷,中晚侏罗世受燕山运动的影响在盆地腹部形成车莫隆起带,使得下伏西山窑组地层受到超覆、削蚀,形成了一系列岩性、地层及复合油气藏。在油气运聚成藏过程中不整合体的结构发挥了重要作用,故对不整合结构进行了三级层次划分:一级为盖层和不整合体层;二级将不整合体层分为上覆层、不整合层及下伏层;三级是成藏要素级,包括运聚层、隔挡层、风化黏土层和风化淋滤带。借助测井资料,运用岩性、物性、岩石学特征等分析不整合体纵向结构,研究区不整合体三级结构发育完整。地震资料结合测井资料,通过自然伽马反演明确不整合体结构层中运聚层和隔挡层的展布。风化淋滤带厚度自高部位向凹陷方向逐渐减薄,风化黏土层反之,二者具有较好的负相关性。不整合体的结构控制了本区最重要的两类储盖组合,分别是不整合体上覆层-不整合体盖层的储盖组合及不整合体下伏层-风化黏土层的储盖组合。  相似文献   

Application of PSO-LIBSVM in Recognition of Potassium Salt Deposits     

Fuqiang Yang  Kegui Chen  Changbing Huang  Yuanyuan Chen  Jin Li  Xiaolin Ma 《地球科学进展》2019,34(7):757-764

The shortage of potassium salt seriously restricts the development of China's agriculture. Increasing the exploration and development of potash will help improve the self-sufficiency of potassium in China. With rich potassium salt resources, Sichuan basin is one of the most important research areas for potash exploration and development in China. Polyhalite is an important solid potassium salt mineral in Sichuan basin, often intercalated in rock minerals such as anhydrite, rock salt and dolomite. Aiming at the problem that conventional log interpretation methods are difficult to accurately identify polyhalites, this paper proposed a new Support Vector Machine (SVM) recognition method based on Particle Swarm Optimization (PSO) to classify polyhalites in Sichuan basin. Based on particle swarm optimization and support vector machine theory, combined with logging interpretation theory, the effective data sensitive to polyhalite logging response were selected as input samples to generate training sets and test sets randomly. The Radial Basis Function (RBF) parameters were optimized by particle swarm optimization, and the classification and prediction model of polyhalite was established. Compared with mud logging results, the recognition accuracy of SVM model based on particle swarm optimization reached 97.5758%, which is obviously better than that of SVM model optimized by cross validation method in recognition accuracy and speed. The results show that the model has broad application prospects in potash exploration in Sichuan basin.  相似文献   

水井测温在地热普查中的应用          下载免费PDF全文

杨斌  牛保祥 《山东国土资源》2005,21(9):65-66,70

利用水井测温方法确定恒温层温度，以恒温层的温度值作为湖顶地热异常区的下限值，用内插法勾绘温度等值线图，高于该下限值范围的即为地热异常区。曹县庄寨地区的地热普查证明该方法是快速有效的。  相似文献   

基于拓扑网络研究海州湾食物网结构与复杂性   总被引：1，自引：0，他引：1  

徐从军  刘阳  程远  徐宾铎  张崇良  任一平  薛莹 《海洋学报》2020,42(4):47-54

针对食物网结构与复杂性的研究有助于深入解析食物网的功能、营养动力和能量转化过程。本文根据2011年3?12月在海州湾及其邻近海域进行的5个航次的渔业资源底拖网调查资料以及胃含物分析数据，基于11个拓扑网络指数，构建了海州湾拓扑网络，研究海州湾食物网的结构与复杂性。结果表明，本文分析的海州湾食物网物种数S为93，连接数L为1 021，每个物种的相互作用数量L/S为10.98，连接性L/S2为0.12；顶级物种、中间物种、基础物种的比例分别为29%、69%和2%；食物网的杂食性指数为87%，连接复杂性指数SC为22.20，特征路径长度ChPath为2.11，聚类系数CC为0.23。通过每个物种的相互作用数量和连接性的研究显示，L/S和L/S2的值都处在正常范围内，所以海州湾食物网的复杂性仍保持较高水平。通过物种比例、杂食性指数、连接复杂性指数、特征路径长度、聚类系数对食物网结构分析，发现海州湾食物网结构处于稳定状态，能够在一定程度上抵御外界环境的扰动，保证生态系统功能的正常运行。通过对海州湾食物网结构与复杂性的研究，将为今后海州湾食物网功能的深入研究以及海州湾渔业资源的科学管理提供重要依据。  相似文献   

Performance of shape indices and classification schemes for characterising perceptual shape complexity of building footprints in GIS     

Melih Basaraner  Sinan Cetinkaya 《International journal of geographical information science》2017,31(10):1952-1977

Shape characterisation is important in many fields dealing with spatial data. For this purpose, numerous shape analysis and recognition methods with different degrees of complexity have so far been developed. Among them, relatively simple indices are widely used in spatial applications, but their performance has not been investigated sufficiently, particularly for building footprints (BFs). Therefore, this article focuses on BF shape characterisation with shape indices and classification schemes in a GIS environment. This study consists of four phases. In the first phase, the criteria for BF shape complexity were identified, and accordingly, benchmark data was constructed by human experts in three shape complexity categories. In the second phase, 18 shape indices were selected from the literature and automatically computed in GIS. The performance of these indices was then statistically assessed with histograms, correlation matrix and boxplots, and consequently four indices were found to be appropriate for further investigation. In the third phase, two new indices (Equivalent Rectangular index and Roughness index) were proposed with the objective to measure some BF shape characteristics more efficiently. The proposed indices also were found to be appropriate with the same statistical assessment procedures. In the final phase, BF shape complexity categories were created with the pairs of six appropriate indices and four choropleth mapping classification schemes (equal intervals, natural break, standard deviation, and custom) in GIS. The performance of the index–scheme pairs was assessed against the benchmark data. The findings demonstrated that both new indices and two of the selected indices (Convexity and Rectangularity) delivered higher performance. The custom classification scheme was found more ideal to reveal absolute shape complexity with the index value ranges derived from the boxplots while the other classification schemes were more appropriate to reveal relative shape complexity.  相似文献   

Prediction of diagenetic facies using well logs – A case study from the upper Triassic Yanchang Formation,Ordos Basin,China     

《Marine and Petroleum Geology》2017

Understanding diagenetic heterogeneity in tight sandstone reservoirs is vital for hydrocarbon exploration. As a typical tight sandstone reservoir, the seventh unit of the Upper Triassic Yanchang Formation in the Ordos Basin (Chang 7 unit), central China, is an important oil-producing interval. Results of helium porosity and permeability and petrographic assessment from thin sections, X-ray diffraction, scanning electron microscopy and cathodoluminescence analysis demonstrate that the sandstones have encountered various diagenetic processes encompassing mechanical and chemical compaction, cementation by carbonate, quartz, clay minerals, and dissolution of feldspar and lithic fragments. The sandstones comprise silt-to medium-grained lithic arkoses to feldspathic litharenites and litharenites, which have low porosity (0.5%–13.6%, with an average of 6.8%) and low permeability (0.009 × 10⁻³ μm² to 1.818 × 10⁻³ μm², with an average of 0.106 × 10⁻³ μm²).This study suggests that diagenetic facies identified from petrographic observations can be up-scaled by correlation with wire-line log responses, which can facilitate prediction of reservoir quality at a field-scale. Four diagenetic facies are determined based on petrographic features including intensity of compaction, cement types and amounts, and degree of dissolution. Unstable and labile components of sandstones can be identified by low bulk density and low gamma ray log values, and those sandstones show the highest reservoir quality. Tightly compacted sandstones/siltstones, which tend to have high gamma ray readings and relatively high bulk density values, show the poorest reservoir quality. A model based on principal component analysis (PCA) is built and show better prediction of diagenetic facies than biplots of well logs. The model is validated by blind testing log-predicted diagenetic facies against petrographic features from core samples of the Upper Triassic Yanchang Formation in the Ordos Basin, which indicates it is a helpful predictive model.  相似文献   

Source speciation resolving hydrochemical complexity of coastal aquifers     

《Marine pollution bulletin》2014,78(1-2):118-129

There is a growing concern of seawater intrusion to freshwater aquifers due to groundwater overexploitation in the eastern coastal belt of Southern India. The problem becomes complex in the regions where industrial effluents are also contaminating the freshwater aquifers. In order to understand the hydrochemical complexity of the system, topographic elevation, static water level measurements, major ion chemistry, ionic cross plots, water type contours and factor analysis were applied for 144 groundwater samples of shallow and deep sources from Quaternary and Tertiary coastal aquifers, located within the industrial zone of 25 km² area near Cuddalore, Southern India. The ionic cross plots indicates dissolution of halite minerals from marine sources and seawater mixing into inland aquifers up to the level of 9.3%. The factor analysis explains three significant factors totaling 86.3% of cumulative sample variance which includes varying contribution from marine, industrial effluent and freshwater sources.  相似文献   

Analytical model of well leakage pressure perturbations in a closed aquifer system     

《Advances in water resources》2014

Deep saline aquifers are commonly used for disposal and storage of various surface fluids. The target injection zone must be hydraulically isolated from overlying zones in order to ensure containment of the injected fluids. Improperly plugged nonoperational abandoned wells that penetrate the injection zone are the main potential leakage pathways. Leakage through such wells may cause an observable pressure signal in a zone overlying the injection zone; such a signal can be used to detect the leakage. In this paper we develop an analytical model to evaluate the pressure change induced by leakage through a well in a multilayer system. Unlike previous analytical models on the topic, our model uses a closed system, which may significantly affect the strength and behavior of the pressure signal induced by leakage. The analytical model is first presented for a two-layer system centered at the leaky well location. We evaluate the leakage-induced pressure change using the Laplace transform of Duhamel’s superposition integral, yielding the solution in the Laplace domain. We then derive a late-time asymptotic solution using the final value theorem, which suggests that the leakage rate becomes constant after sufficient time. We then obtain the multilayer solution by extending the two-layer solution and presenting it in matrix form in the Laplace domain. We apply the solution to three examples. In the first example, we apply the analytical model to a two-layer system, investigating its behavior and comparing the results with a numerical solution. In order to demonstrate behavior and potential applications of the multilayer analytical model, we present two multilayer examples: one with identical layers and another, replicating a CO₂ storage site, with dissimilar layers. The leakage-induced pressure change does not necessarily decrease as the distance increases from the injection zone toward the surface.  相似文献