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1.
Musa S.D. Manzi Gordon R.J. Cooper Alireza Malehmir Raymond J. Durrheim 《Geophysical Prospecting》2020,68(1):145-163
Seismic detection of faults, dykes, potholes and iron-rich ultramafic pegmatitic bodies is of great importance to the platinum mining industry, as these structures affect safety and efficiency. The application of conventional seismic attributes (such as instantaneous amplitude, phase and frequency) in the hard-rock environment is more challenging than in soft-rock settings because the geology is often complex, reflections disrupted and the seismic energy strongly scattered. We have developed new seismic attributes that sharpen seismic reflections, enabling additional structural information to be extracted from hard-rock seismic data. The symmetry attribute is based on the invariance of an object with respect to transformations such as rotation and reflection; it is independent of the trace reflection amplitude, and hence a better indicator of the lateral continuity of thin and weak reflections. The reflection-continuity detector attribute is based on the Hilbert transform; it enhances the visibility of the peaks and troughs of the seismic traces, and hence the continuity of weak reflections. We demonstrate the effectiveness of these new seismic attributes by applying them to a legacy 3D seismic data set from the Bushveld Complex in South Africa. These seismic attributes show good detection of deep-seated thin (∼1.5 m thick) platinum ore bodies and their associated complex geological structures (faults, dykes, potholes and iron-rich ultramafic pegmatites). They provide a fast, cost-effective and efficient interpretation tool that, when coupled with horizon-based seismic attributes, can reveal structures not seen in conventional interpretations. 相似文献
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The current analysis of earthquakes is typically based on linear mathematical models that may fail to describe and forecast particular behaviors, because in many cases the data complexity may induce a highly non linear behavior. In this paper the implementation of an alternative method for seismic time series analysis is presented. The RPs (Recurrence Plots) enables recognition and treatment of measured accelerations. An RP obtained from seismic data allows a more efficient interpretation of the ground motions and this explanation contributes to characterize materials and responses. The nonlinear attributes from RPs analysis can be used as filters to reveal patterns or be combined to predict a seismic property. Automated seismic data characterization, based on nonlinear seismic attributes, could rewrite the rules of earthquake phenomena interpretation. The objective of this work is to establish a new methodology for practical application of nonlinear dynamics in seismic pattern/attributes recognition, an evolving and challenging engineering field. 相似文献
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在地震解释与储层预测中,地震属性扮演着重要角色.在砂砾岩储层研究过程中,常规属性效果并不理想,无法满足实际应用的需要.而过零点个数,虽是一种不被人经常使用的地震属性,但我们发现在砂砾岩体油藏预测中应用效果良好.为此,研究过零点个数地震属性的定义与计算方法,讨论子波主频、砂岩厚度、泥岩夹层和地层韵律性等与它的关系,通过模型测试与实际资料应用对其做较全面的诠释.研究表明:(1)对于单一界面地震记录,过零点个数不随子波主频和波长的变化而变化;(2)砂岩厚度与过零点个数呈正相关,厚砂岩的过零点个数要比薄砂岩大;(3)砂体间存在的泥岩夹层,厚度变化对过零点个数影响较小,但它会影响波组的形态;(4)不规则沉积与均匀沉积相比,过零点个数属性值要大,因此,此属性比较适合多期次发育的砂砾岩体或其他薄互层结构的储层预测.总的来说,过零点个数地震属性能够有效地识别砂砾岩体发育区,可为此类储层预测提供了一种新的优势属性. 相似文献
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地震属性的研究大致从上个世纪60年代开始,经历了几个阶段的发展后得到了广泛的应用.由于地震属性的解释可获得许多有关地层、断层、裂缝、岩性和相的变化的重要特征信息,我们结合地震属性特征参数的意义,从实际应用出发,把地震属性分为了振幅、频（能）谱、相位、复地震道、层序、相关六大类,并根据在地层、断裂、岩性等方面的实际应用进行了详细描述,讨论了属性分析技术原理中应注意的几个环节.最后通过对断裂、河道、火成岩、古潜山等几个实例的详细描述,证明了相干、阻抗、振幅等地震属性的应用效果,说明了地震属性在实际应用中的作用. 相似文献
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A. Amendola G. Gabbriellini P. Dell'Aversana A. J. Marini 《Geophysical Prospecting》2017,65(Z1):49-58
Seismic facies analysis is a well‐established technique in the workflow followed by seismic interpreters. Typically, huge volumes of seismic data are scanned to derive maps of interesting features and find particular patterns, correlating them with the subsurface lithology and the lateral changes in the reservoir. In this paper, we show how seismic facies analysis can be accomplished in an effective and complementary way to the usual one. Our idea is to translate the seismic data in the musical domain through a process called sonification, mainly based on a very accurate time–frequency analysis of the original seismic signals. From these sonified seismic data, we extract several original musical attributes for seismic facies analysis, and we show that they can capture and explain underlying stratigraphic and structural features. Moreover, we introduce a complete workflow for seismic facies analysis starting exclusively from musical attributes, based on state‐of‐the‐art machine learning computational techniques applied to the classification of the aforementioned musical attributes. We apply this workflow to two case studies: a sub‐salt two‐dimensional seismic section and a three‐dimensional seismic cube. Seismic facies analysis through musical attributes proves to be very useful in enhancing the interpretation of complicated structural features and in anticipating the presence of hydrocarbon‐bearing layers. 相似文献
6.
基于频率域峰值属性的河道砂体定量预测及应用(英文) 总被引：1，自引：1，他引：0
河道砂体是陆相含油气盆地最重要的储集类型之一,其边界识别和厚度定量预测是储层预测的热点难题。本文在总结现有方法技术的基础上,提出一种利用频率域峰值属性进行河道砂体边界识别和厚度定量预测的新方法。对典型河道薄砂体地震反射进行了正演模拟,构造了一种新的地震属性——峰值频率-振幅比,研究表明:峰值频率属性对地层厚度变化敏感,振幅属性对地层岩性变化敏感,两者比值突出河道砂体的边界,同时,借助峰值频率与薄层厚度间存在的定量关系进行薄砂体厚度计算。实际数据应用表明,地震峰值频率属性可以较好的刻画河道的平面展布特征;峰值频率-振幅比属性可以提高对河道砂体边界的识别能力;利用频率域地震属性进行砂体边界识别及厚度定量预测是可行的。 相似文献
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The semi‐automated detection of objects has been quite successful in detecting various types of seismic object, such as chimneys. The same technique can be applied successfully to detect faults in 3D seismic data. We show that several different attributes – among others, similarity, frequency and curvature, all of which potentially enhance the visibility of faults – can be combined successfully by an artificial neural network. This results in a fault ‘probability’ cube in which faults are more continuous and noise is suppressed compared with single‐attribute cubes. It is believed that the fault‐cube can be improved further by applying image‐processing techniques to enhance the fault prediction. 相似文献
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本文应用模糊数学方法从给定地区的地震目录中识别出地震簇.这些地震簇由一系列时空相关的地震组成,每一次强震前都可能有其地震簇出现.两次地震的函数由以下公式来确定:eij=1e-1t+2e-2s计算出某一地区所有 MM0地震相互之间的联系强度,并取一个经验参数之后,就可以根据编网原则识别出地震簇.利用地震簇,可以把强震的地震活动性图象识别得更清楚,简单和定量化.此方法曾用于我国大华北及西南地区的地震簇识别与地震活动图象研究.清楚地识别出了13次大震(M6.5)的地震簇.研究了它们的时空特性.近似建立了 lg△t,lgL,lgS 与震级 M 间的线性经验关系,此处△t,L,S 分别表示地震簇的前兆时间(持续时间)及其震中分布的最大线度与面积.显然,这些关系式对地震预报研究可能有一定用途. 相似文献
9.
地震属性分析技术在地球物理勘探领域的广泛应用,启发研究人员将其应用于人工源宽角反射/折射深地震测深剖面的资料预处理和震相识别。采用札达-泉水沟深地震测深资料,提取振幅、信噪比、主频、瞬时带宽、瞬时高频能量等地震属性参数,分析不同参数的物理含义,挑选其中对界面变化敏感的参数,对深地震测深资料进行预处理,并利用P波和S波的联合扫描,提高震相识别的准确性。走时互换结果显示,采用地震属性参数可有效提高震相拾取的准确性,进而提高后续地壳速度结构反演结果的精度。 相似文献
10.
A method for classifying pre‐stack seismic data based on amplitude–frequency attributes and self‐organizing maps 
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下载免费PDF全文 Erik Molino‐Minero‐Re Ernesto Rubio‐Acosta Héctor Benítez‐Pérez Juan Marcos Brandi‐Purata Nora Isabel Pérez‐Quezadas Demetrio Fabián García‐Nocetti 《Geophysical Prospecting》2018,66(4):673-687
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Hydrocarbon prediction from seismic amplitude and amplitude‐versus‐offset is a daunting task. Amplitude interpretation is ambiguous due to the effects of lithology and pore fluid. In this paper, we propose a new attribute “J” based on a Gassmann–Biot fluid substitution to reduce ambiguity. Constrained by seismic and rock physics, the J attribute has good ability to detect hydrocarbons from seismic data. There are currently many attributes for hydrocarbon prediction. Among the existing attributes, far‐minus‐near times far and fluid factor are commonly used. In this paper, the effectiveness of these two existing attributes was compared with the new attribute. Numerical modelling was used to test the new attribute “J” and to compare “J” with the two existing attributes. The results showed that the J attribute can predict the existence of hydrocarbon in different porosity scenarios with less ambiguity than the other two attributes. Tests conducted with real seismic data demonstrated the effectiveness of the J attribute. The J attribute has performed well in scenarios in which the other two attributes gave inaccurate predictions. The proposed attribute “J” is fast and simple, and it could be used as a first step in hydrocarbon analysis for exploration. 相似文献
13.
因为地震数据的三维空间分布优势,地震属性已经被广泛应用于含油气性预测、储层厚度预测、孔隙度预测等。但也存在地震属性之间信息冗余、属性与储层物性参数关系模糊的问题。针对这两个问题,将模糊粗糙理论和机器学习引入到储层参数预测中来。通过模糊粗糙集理论对地震属性进行约简,去除冗余信息,得到最优化的地震属性组合;将约简后的属性作为机器学习的输入,实现从地震属性到储层物性参数的非线性映射。该方法既保留了地震属性中有效信息,又避免了因输入变量过多而导致的网络模型训练困难。实际数据应用表明,属性约简的机器学习预测结果分辨率更高,并与数据吻合更好。 相似文献
14.
A procedure to reduce side lobes of reflection wavelets: A contribution to low frequency information
Side lobes of the wavelets arise from the lack of low frequency content in a reflection wavelet. They tend to increase the time span of an individual reflection event and interfere with the other primary reflections or side lobes. Furthermore, their trace-by-trace consistency may produce pseudo-reflections and may cause misinterpretations of the side lobes as weak reflections.A procedure in order to improve the low frequency content of the seismic traces by suppressing the side lobe amplitudes based on the complex trace envelope is proposed. Using the average energies of the seismic trace and its envelope, the polarity table of the trace is obtained and used to correct the phase of the envelope. The resultant trace is termed “side lobe reduced (SLR) trace”. The method can be applied to the stack or migrated seismic data by a trace-by-trace basis. The only required parameter of the method is the moving average operator length which is used to calculate average energies of the input traces. In general, shorter operator lengths yield better results when the dominant frequency of the input increases.Results from synthetics and real seismic data sets show that the procedure improves the low frequency components of the input trace and side lobes in the output SLR trace are significantly suppressed. The method may be considered as a seismic amplitude attribute, which aids the interpreter to obtain the true seismic signature of the geological formations by removing the side lobes of the wavelet and restoring the low frequency components if the lower frequencies of deeper reflections are of primary concern. 相似文献
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The main problems in seismic attribute technology are the redundancy of data and the uncertainty of attributes, and these problems become much more serious in multi-wave seismic exploration. Data redundancy will increase the burden on interpreters, occupy large computer memory, take much more computing time, conceal the effective information, and especially cause the "curse of dimension". Uncertainty of attributes will reduce the accuracy of rebuilding the relationship between attributes and geological significance. In order to solve these problems, we study methods of principal component analysis (PCA), independent component analysis (ICA) for attribute optimization and support vector machine (SVM) for reservoir prediction. We propose a flow chart of multi-wave seismic attribute process and further apply it to multi-wave seismic reservoir prediction. The processing results of real seismic data demonstrate that reservoir prediction based on combination of PP- and PS-wave attributes, compared with that based on traditional PP-wave attributes, can improve the prediction accuracy. 相似文献
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地震属性分析技术一直是地震特殊处理和解释的主要研究内容.随着油气勘探开发的发展,地震属性分析技术已经成为油藏地球物理研究的核心内容,是勘探地震与开发地震之间纽带.本文针对鄂尔多斯盆地的低幅度构造、低孔隙、低渗透率、致密性隐蔽油气藏的特点,综合应用相干数据体分析、地震相自动分类定性识别砂体厚度、地震振幅属性分析、频谱分解、多井约束的储层叠后反演等叠后属性分析技术,探索了一套适合该区油气特征的储层横向预测及油气识别模式.为该区油气勘探开发,储量计算提供可靠依据.同时也为隐蔽性油气藏的勘探开发积累了经验. 相似文献
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在地震储层预测中,可采用的地震属性种类繁多,但太多地震属性常常会起到干扰作用,影响储层的预测精度,因此,为提高地震储层预测精度,把粗糙集理论融入到地震属性的优化中,利用粗糙集理论所具有的提取有用属性、简化信息处理的能力,优选出地震属性中的敏感属性是本文的研究目的,本文采用了一种基于属性方差的自组织神经网络量化方法,并运用基于区别矩阵的属性频率约简算法对地震属性进行优选,实例分析表明:该方法可行有效,可以最大限度地删除冗余地震属性,用优选出的敏感属性组合对多种储层参数进行预测均已取得了较好的效果. 相似文献
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本文通过对本世纪来东北浅源中强震前地震活动图象的研究,在计算机上建立了“东北浅源中强地震的模式识别综合预测模型”。结果表明:M≥6.0深源地震对东北浅源中强震的发生有重要影响。地震活动频度增加至一定水平,b值下降至一定水平,地震频度和强度随时间的增强,是重要震兆。地震活动的可公度性在识别中也起到了较强作用。本文采用预选特征的方法和标准,加速了建模过程,提高了模型稳定性和效果。控制实验表明结果是稳定的,可用于中强震监测参考。 相似文献
19.
基于AVO梯度、走时及速度的纵波方位角裂缝检测已有较多研究和应用.由于裂缝及所含流体的综合作用,碳酸岩裂缝性储层的地震响应具有高频衰减、频带低移及方位各向异性的特点,因此应用衰减属性进行裂缝预测具有重要价值.基于小波变换计算的瞬时频域振幅谱及以此为基础提取的衰减属性,由于在时域和频域都有较好的分辨率能力,能够准确地刻画出碳酸岩裂缝性储层的非均质性.结合三维地震纵波数据的分方位角处理和分析技术,可以由方位衰减属性估算裂缝相对密度.对Z区下古生界潜山碳酸岩储层进行的裂缝预测表明,由衰减梯度和85%能量比频率两种属性导出的裂缝发育密度具有很好的相关性,且与实际情况符合. 相似文献
20.
ISTVN BONDR 《Geophysical Prospecting》1992,40(7):785-800
Seismic sections used in interpretation are actually images. We often superimpose colour-coded pictures of seismic attributes on seismic sections. Thus, it seems straightforward to use image processing algorithms to enhance the quality of the seismic images. From an image processing point of view, seismic horizons can be thought of as edges on the seismic image. We present a novel approach to detecting seismic horizons, which includes the 2D median filtering of the instantaneous phase attribute and applying an edge detection algorithm. The resulting edge magnitude picture provides a skeletonized image of the seismic section, on which the structural and stratigraphic patterns can be better recognized. 相似文献