共查询到19条相似文献，搜索用时 156 毫秒
1.
利用△logR技术计算有机碳是一种不同于传统地球化学测试得到的有机碳方法.该方法利用烃源岩有机碳含量在测井曲线(声波时差、电阻率)上的响应特征,建立测井解释模型,计算TOC的连续分布值,从而得到准确的有机碳含量,补充取心资料的不足.本文应用△logR技术,结合实测数据,建立起三湖地区测井资料与有机碳含量之间的定量关系模型,然后利用该模型对三湖地区25口重点探井进行有机碳计算.结果表明:有机碳总体上数值含量偏低,平均值为0.33％;在纵向上,具有2个峰值,其中k5-k6峰值段是第四系最大湖泛期形成的沉积;在平面上,有机碳高值区位于台南—涩北构造以北和台吉乃尔与南陵丘以南区域,而南斜坡和涩南1井以东区域有机碳含量较低.本次研究获取了较为准确的烃源岩评价参数,最终得到该区第四系天然气资源量得到油田认可. 相似文献
2.
利用ΔlogR技术计算柴达木盆地三湖地区第四系有机碳 总被引：2，自引：0，他引：2
利用ΔlogR技术计算有机碳是一种不同于传统地球化学测试得到的有机碳方法.该方法利用烃源岩有机碳含量在测井曲线(声波时差、电阻率)上的响应特征,建立测井解释模型,计算TOC的连续分布值,从而得到准确的有机碳含量,补充取心资料的不足.本文应用ΔlogR技术,结合实测数据,建立起三湖地区测井资料与有机碳含量之间的定量关系模型,然后利用该模型对三湖地区25口重点探井进行有机碳计算.结果表明:有机碳总体上数值含量偏低,平均值为0.33%;在纵向上,具有2个峰值,其中k5-k6峰值段是第四系最大湖泛期形成的沉积;在平面上,有机碳高值区位于台南-涩北构造以北和台吉乃尔与南陵丘以南区域,而南斜坡和涩南1井以东区域有机碳含量较低.本次研究获取了较为准确的烃源岩评价参数,最终得到该区第四系天然气资源量得到油田认可. 相似文献
3.
针对塔里木盆地库车坳陷北部侏罗系烃源岩受泥浆污染、分析数据少、样品分布不连续及类型多样等问题突出,利用测井资料来对有机地球化学参数进行评价难度大,无法满足勘探需求.本文阐述了不同类型烃源岩的有机质级别、测井响应特征、有机地球化学参数定量计算及品质评价等多种方法,来研究富集区烃源岩对致密气储层的持续供气能力.文中介绍了煤层、碳质泥岩、暗色泥岩等3种类型烃源岩的有机质级别和测井响应特征.首先,提出分不同岩性烃源岩的ΔlogR法,其计算结果与铀曲线相关法、多元回归法对比,效果最好;再次建立了生烃潜率、氯仿沥青“A”及镜质体发射率等多个有机质地球化学参数的测井评价模型;最终,考虑能够反映烃源岩性质的参数来综合定义烃源岩品质指数,形成了完善的烃源岩测井综合评价方法研究技术.研究表明,利用这套地球物理技术提供了烃源岩定量评价和品质分类研究方法及实际应用案例. 相似文献
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《地球物理学进展》2016,(6)
致密油勘探初期存在烃源岩取心少、实测样品分布不连续等问题;利用测井资料可定量评价烃源岩.烃源岩富含有机质,在测井曲线上常以高伽马、低密度、高声波时差、高电阻率、高中子孔隙度等特征呈现.论文系统介绍了ΔLogR法和多元回归法两种基于测井资料的烃源岩定量评价方法,并建立了相应的预测模型.通过建立的模型对鄂尔多斯盆地姬塬地区延长组长7段烃源岩有机碳含量进行预测,并对计算出的TOC数据(TOC_(计算))与实测TOC数据(TOC_(实测))进行了对比和分析.研究结果表明,研究区ΔLogR法与多元回归法中的双参数模型为较好的预测方法,且ΔLogR法预测结果明显优于多元回归法,优选ΔLogR法为最佳评价方法;并对出现这种情况的原因进行了分析. 相似文献
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运用测井信息评价烃源岩自开始以来已取得了长足进步,从定性的分析、识别发展到现在可定量计算地化指标,为克服因取芯不足而在区域范围内进行资源评价的难题创造了有利条件,烃源岩中有机质、粘土矿物是影响其测井响应的两个重要变量,测井对岩石中有机质和粘土矿物的类型、丰度、压实程度及富集状态不同而产生的岩石物理、电化学性质的差异,是利用测井信息识别和评价烃源岩的基础,随着油气勘探形势的严峻,烃源岩的测井研究将向更深层次的方向发展,烃源岩的地球化学特征与测井响应特征对应关系的机理研究、发展利用电化学性质进行烃源岩评价的方法、进行烃源岩的岩石物理实验与测井数值模拟将是今后开展烃源岩测井评价研究的新方向. 相似文献
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《地球物理学进展》2017,(1)
本文结合牛庄洼陷地质特征,剖析了前人关于双孔隙度法、碳氧比法、自然伽马法以及ΔLogR法在该地区烃源岩TOC测井评价的适应性,认为这些方法由于与该地区的岩性特征、方法固有参数及基线选取的误差等关联,使得烃源岩TOC测井评价的精度不高甚至根本不适合.依据牛庄洼陷地区的实测TOC和测井资料,本文通过构建TOC含量与自然伽马、声波时差以及电阻率的关系,从而形成了一套适合本地区且操作方便的测井多参数改进计算模型.结果表明,改进模型TOC的计算值与实测值之间绝对误差小于0.4的点占总数的91.7%,证实该模型求取牛庄洼陷烃源岩TOC值的准确性和可靠性.改进后的模型为牛庄洼陷烃源岩TOC测井评价提供了一种新的方法,具有良好的应用前景. 相似文献
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简述了川东TS—HNT地区飞仙关组鲕粒储层的地质特征及其储集性能,并介绍了鲕滩储层的测井响应特征。飞仙关组鲕滩储层以孔隙（洞）型为主,具有溶蚀孔洞发育、局部有少量裂缝、储层孔隙结构复杂等特点。准确的确定储层物性参数和岩性是测井解释评价的基础。通过对钻井取芯资料和测井资料的分析研究,对储层四性关系进行分析,建立了适合本区的储层参数测井解释模型,提高了储层物性参数的计算精度;针对研究区鲕滩碳酸盐岩储层孔隙结构复杂、孔渗关系变化多样的特点,以常规测井资料为基础,结合岩芯分析数据及试气投产资料,给出了储层综合测井解释成果,且测井解释结果与实际情况相一致。 相似文献
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由于钻井取心成本以及样品来源等原因的限制,利用测井资料来预测烃源岩中的有机碳含量(TOC)成为一种常用手段.本文剖析了前人提出的关于烃源岩TOC测井预测方法,包括自然伽马法、ΔLogR法及多元回归法,结合居延海坳陷的地质特征以及有关测井参数,对不同方法的预测结果进行误差对比分析,优选认为多元回归法能够较好的应用于研究区烃源岩TOC含量预测,并提出了适用于本研究区的以ΔLogR、深侧向电阻率和自然伽马为基本参数的多元回归预测模型.将该模型应用到研究区额探1井和额探2井的烃源岩TOC含量预测,在白垩系和二叠系识别出了多段厚度大于10 m的优质烃源岩,平均TOC含量都大于1.5%.由此表明优选出的预测模型对于居延海坳陷烃源岩TOC含量的预测具备重要意义,具有良好的应用前景. 相似文献
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烃源岩的定量地震刻画对于勘探开发区块的优选、盆地油气资源量的估算都具有重要意义.陆相沉积环境下的浅湖或半深湖相的烃源岩横向变化快,其空间展布需要依靠钻井约束下的反射地震进行刻画,但是其地震弹性特征与岩性和有机质含量的映射关系呈现高度非线性化,因而很难利用传统基于地震岩石物理模型驱动的烃源岩地震预测方法进行有效刻画.本文以低勘探区的东海盆地长江坳陷为例,提出了一种在数据驱动的机器学习框架下,综合利用地质约束、钻井录井、测井、地球化学和叠前地震数据进行烃源岩的定量地震刻画的工作流程.其核心思想是利用随机森林集成学习算法对小样本数据表现优异的特征,以井位处的测井弹性数据(纵波速度和密度)、岩性、地球化学标定的总有机碳含量(TOC)为样本标签数据,在地质导向约束下通过随机森林算法生成学习网络,并将该网络与叠前地震反演结果相结合,采取先预测泥岩再预测总有机碳含量的“两步走”策略,完成对烃源岩空间分布及其非均质性的定量地震刻画,并对预测结果的不确定性进行评价.测试结果显示,随机森林算法相较于其他的机器学习算法能够更准确的识别陆相沉积地层的泥岩,并比传统的利用阻抗转化方法获得更可靠的总有机碳含量预测结果. 相似文献
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《地球物理学进展》2020,(4)
烃源岩总有机碳含量(TOC)的预测是烃源岩有机质丰度评价的重要一环.为解决传统ΔlogR方法应用于陆相深层烃源岩误差较大的问题.本文以ΔlogR法为基础,提出了一种考虑密度因素的广义ΔlogR法预测TOC.传统ΔlogR方法是一种基于测井曲线(声波、电阻率等)和成熟度参数(LOM)的预测TOC的方法,可以获得纵向上连续的有机碳分布,并且在国内外多个地区取得了较好的效果.但是研究表明,由于陆相深层烃源岩受到压实作用等影响,传统ΔlogR方法预测的结果不理想.干酪根有机质的密度远低于烃源岩基质密度,将考虑密度因素的广义ΔlogR法预测TOC的方法应用于渤中凹陷西南部东营组和沙河街组烃源岩,对其TOC进行分段预测,并与传统ΔlogR法、敏感测井多元回归方法预测结果进行对比,结果表明,研究区使用该方法的效果要优于其他两种方法.该方法拓展了传统ΔlogR法的适用范围,为烃源岩TOC的预测提供了新的思路和方法. 相似文献
11.
It gradually becomes a common work using large seismic wave data to obtain source parameters, such as seismic moment, break radius, stress drop, with completingof digital seismic network in China (Hough, et al, 1999; Bindi, et al, 2001). These parameters are useful on earthquake prediction and seismic hazard analysis.Although the computation methods of source parameters are simple in principle and the many research works have been done, it is not easy to obtain the parameters accurately. There are two factors affecting the stability of computation results. The first one is the effect of spread path and site respond on signal. According to the research results, there are different geometrical spreading coefficients on different epicenter distance. The better method is to introduce trilinear geometrical spreading model (Atkinson, Mereu, 1992; Atkinson, Boore, 1995; WONG, et al, 2002). In addition, traditional site respond is estimated by comparing with rock station, such as linear inversion method (Andrews, 1982), but the comparative estimation will introduce some errors when selecting different stations. Some recent research results show that site respond is not flat for rock station (Moya, et al, 2000; ZHANG,. et al, 2001; JIN, et al, 2000; Dutta, et al, 2001). The second factor is to obtain low-frequency level and corner frequency fromdisplacement spectrum. Because the source spectrum model is nonlinear function,these values are obtained by eye. The subjectivity is strong. The small change of corner frequency will affect significantly the result of stress drop. 相似文献
12.
《Geofísica Internacional》2014,53(2):163-181
This paper introduces a general nonparametric method for joint stochastic simulation of petrophysical properties using the Bernstein copula. This method consists basically in generating stochastic simulations of a given petrophysical property (primary variable) modeling the underlying empirical dependence with other petrophysical properties (secondary variables) while reproducing the spatial dependence of the first one.This multivariate approach provides a very flexible tool to model the complex dependence relationships of petrophysical properties. It has several advantages over other traditional methods, since it is not restricted to the case of linear dependence among variables, it does not require the assumption of normality and/or existence of moments.In this paper this method is applied to simulate rock permeability using Vugular Porosity and Shear Wave Velocity (S-Waves) as covariates in a carbonate double-porosity formation at well log scale. Simulated permeability values show a high degree of accuracy compared to the actual values. 相似文献
13.
COMPARISON OF METHODS FOR DISTINGUISHING DIFFERENT GRADES OF GEOMORPHOLOGIC SURFACES BASED ON SEDIMENT PARTICLE SIZE FEATURES: TAKING THE QINGYIJIANG RIVER BASIN AS AN EXAMPLE 
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下载免费PDF全文 When using river geomorphology to study tectonic deformation, it is often difficult to distinguish the same level geomorphology in areas with severe weathering. In this paper, we take the geomorphologic surfaces of the Qingyijiang river basin as an example and try to distinguish the geomorphic surfaces by the sediment features that make up them. In order to distinguish different geomorphic surfaces, the traditional particle-size analysis method, SOFM network method and system clustering analysis method are taken to classify 29 samples from different geomorphic surfaces. The classification results of the three methods are different to a certain extent. We analyzed and compared the classification results of the three methods in detail. The results show that the traditional particle size analysis method, SOFM network method and cluster analysis method all can distinguish the geomorphic surface of different genesis, besides, they also can distinguish low-level terraces(T1, T2)and high-level terraces(T3, T4)for different grades of river terraces. Furthermore, the results also show that SOFM network method and cluster analysis method can make a certain distinction for the low-level terraces(T1, T2), while the traditional particle size analysis method is difficult to distinguish them.
In addition, we analyzed and compared the three methods from the classification results, the results presentation, the operation process, and the error transmission. The results suggest that the advantages and disadvantages of the three methods are obvious. From the perspective of the classification results, the three methods all can distinguish the river terraces and alluvial fans and can make certain discrimination for different levels of river terraces. From the presentation of the results, the result of SOFM network is simple and clear. From the operation process, the traditional particle-size analysis method is relatively cumbersome, and the SOFM network method and the cluster analysis method are relatively simple to operate. From the perspective of error transmission, the traditional particle-size analysis method calculates the partial particle size feature value of the sample, which has a certain loss for the particle size distribution information of the whole sample. The error of the clustering analysis method has cumulative features and the influence exists consistently. The classification results of the SOFM network are independent of each other, which effectively avoids the problem of such error transmission of clustering analysis method.
Overall, the classification results of the SOFM network method are simple and clear, the operation is simple, and the error is small. It has stronger adaptability to identifying different levels of different geomorphic surfaces. The results of this study will provide a simple and effective means for distinguishing different levels of geomorphic surfaces. 相似文献
14.
两种强度折减法确定边坡稳定系数适用性探讨 总被引：1，自引：0，他引：1
强度折减法确定边坡稳定性系数比传统极限平衡方法优势明显,但是两种常用的强度折减法哪种更适合一直存在争议。本文针对某工程算例分别采用两种强度折减法进行了边坡稳定性系数计算,并把计算结果和传统极限平衡方法进行了对比,结果表明快速拉格朗日分析法更适合应用在边坡稳定性系数确定方面。该法的计算结果和传统计算方法极其接近,并可以克服传统方法人为指定滑动面的重大缺点。 相似文献
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We develop a new method of using feed-forward back-propagation (FFBP) neural networks to simultaneously estimate shape factor and depth of gravity anomalies. The advantages compared to neural network methods are the following: no pre-assumptions are made on source shape, the FFBP neural network estimates both depth and shape factor of source bodies and, once trained, works well for any new data in the training space, without repeating the initial calculations. 相似文献
16.
The airborne electromagnetic (AEM) method has a high sampling rate and survey flexibility. However, traditional numerical modeling approaches must use high-resolution physical grids to guarantee modeling accuracy, especially for complex geological structures such as anisotropic earth. This can lead to huge computational costs. To solve this problem, we propose a spectral-element (SE) method for 3D AEM anisotropic modeling, which combines the advantages of spectral and finite-element methods. Thus, the SE method has accuracy as high as that of the spectral method and the ability to model complex geology inherited from the finite-element method. The SE method can improve the modeling accuracy within discrete grids and reduce the dependence of modeling results on the grids. This helps achieve high-accuracy anisotropic AEM modeling. We first introduced a rotating tensor of anisotropic conductivity to Maxwell’s equations and described the electrical field via SE basis functions based on GLL interpolation polynomials. We used the Galerkin weighted residual method to establish the linear equation system for the SE method, and we took a vertical magnetic dipole as the transmission source for our AEM modeling. We then applied fourth-order SE calculations with coarse physical grids to check the accuracy of our modeling results against a 1D semi-analytical solution for an anisotropic half-space model and verified the high accuracy of the SE. Moreover, we conducted AEM modeling for different anisotropic 3D abnormal bodies using two physical grid scales and three orders of SE to obtain the convergence conditions for different anisotropic abnormal bodies. Finally, we studied the identification of anisotropy for single anisotropic abnormal bodies, anisotropic surrounding rock, and single anisotropic abnormal body embedded in an anisotropic surrounding rock. This approach will play a key role in the inversion and interpretation of AEM data collected in regions with anisotropic geology. 相似文献
17.
混合震源采集技术相对于传统地震数据采集具有改善成像质量、提高采集效率的优势.减小混合炮中单炮之间的随机延时范围能够有效的提高采集效率,但这也给之后的混采数据分离带来了影响.混采数据经伪分离后非共炮域数据中的混叠噪声明显更加集中,不利于对混叠噪声进行压制.本文提出基于脉冲检测方法对混采数据进行分离,并且与迭代的多级中值滤波方法作对比,时间延时范围较大时,两种方法都能得到很好的分离结果;时间延时范围较小时,本文方法能更有效的去除混叠噪声,同时也能更好的保留细节信息.实际数据计算结果表明,本文方法一定程度上还能够有效压制其他随机噪声. 相似文献
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L. Alvarez G. F. Panza F. Vaccari B. E. González 《Pure and Applied Geophysics》2001,158(9-10):1763-1782
— We present the results of complete P-SV and SH waves modelling, up to a maximum frequency of 1?Hz, along two profiles in Santiago de Cuba city. The seismic sources are located in the depth range from 10 to 40?km on the Oriente fault zone at distances of several tens of kilometres from the city. The calculation has been made by a hybrid method: Modal summation in the regional anelastic model (one-dimensional) where the source is buried, and finite differences in the local sedimentary anelastic models (two-dimensional). The analysis of the influence of the depth and of the distance of the source on the site effects shows that standard traditional methods, based on the deconvolution analysis of the rock outcrop motion, can lead to erroneous results. 相似文献