共查询到10条相似文献，搜索用时 109 毫秒
1.
In this paper, we present a method for attenuating background random noise and enhancing resolution of seismic data, which takes advantage of semi-automatic training of feed forward back propagation (FFBP) artificial neural network (ANN) in a multiscale domain obtained from wavelet packet analysis (WPA). The images of approximations and details of the input seismic sections are calculated and utilized to train neural network to model coherent events by an automatic algorithm. After the modeling of coherent events, the remainder data are assumed to be related to background random noise. The proposed method is applied on both synthetic and real seismic data. The results are compared with that of the adaptive Wiener filter (AWF) in synthetic shot gather and real common midpoint gather and also with that of band-pass filtering on real common offset gather. The comparison indicates substantially higher efficiency of the proposed method in attenuating random noise and enhancing seismic signals. 相似文献
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The Nu Expression for Probabilistic Data Integration 总被引：4，自引：0，他引：4
The general problem of data integration is expressed as that of combining probability distributions conditioned to each individual
datum or data event into a posterior probability for the unknown conditioned jointly to all data. Any such combination of
information requires taking into account data interaction for the specific event being assessed. The nu expression provides
an exact analytical representation of such a combination. This representation allows a clear and useful separation of the
two components of any data integration algorithm: individual data information content and data interaction, the latter being
different from data dependence. Any estimation workflow that fails to address data interaction is not only suboptimal, but
may result in severe bias. The nu expression reduces the possibly very complex joint data interaction to a single multiplicative
correction parameter ν
0, difficult to evaluate but whose exact analytical expression is given; availability of such an expression provides avenues
for its determination or approximation. The case ν
0=1 is more comprehensive than data conditional independence; it delivers a preliminary robust approximation in presence of
actual data interaction. An experiment where the exact results are known allows the results of the ν
0=1 approximation to be checked against the traditional estimators based on assumption of data independence. 相似文献
4.
确定起伏地表的空间位置是叠前深度域起伏地表偏移成像和速度建模成功的关键。浮动基准面本身就是一个起伏高程面,此外它还定义了CMP道集在其上进行基准面校正的规则。本文分析了确定浮动基准面的常用方法并明确了其在一般情况下所具有的物理意义,指出了即便是基于平均静校正法得到的浮动基准面,在一定条件下也可以直接用于起伏地表叠前深度域偏移成像和速度建模。此外,还讨论了在叠前深度域速度建模中错误地使用浮动基准面数据可能导致深度域成像结果中层位深度的移位和畸变的问题。 相似文献
5.
A Mathematical View of Weights-of-Evidence,Conditional Independence,and Logistic Regression in Terms of Markov Random Fields 总被引：2，自引：1，他引：1
Helmut Schaeben 《Mathematical Geosciences》2014,46(6):691-709
New light is shed on mathematical methods of potential modeling from the point of view of Markov random fields. In particular, weights-of-evidence and logistic regression models are discussed in terms of graphical models possessing Markov properties, where the notion of conditional independence is essential, and will be related to log-linear models. While weights-of-evidence with respect to indicator predictor variables and logistic regression with unrestricted predictor variables model conditional probabilities of an indicator random target variable, the subject of log-linear models is the joint probability of random variables. The relationship to log-linear models leads to a likelihood ratio test of conditional independence, rendering an omnibus test of conditional independence restricted by a normality assumption obsolete. Moreover, it reveals a hierarchy of methods comprising weights-of-evidence, logistic regression without interaction terms, and logistic regression including interaction terms, where each former method is a special case of the consecutive latter method. The assumptions of conditional independence of all predictor variables given the target variable lead to logistic regression without interaction terms. Violations of conditional independence are compensated exactly by corresponding interaction terms, no cumbersome approximate corrections are needed. Thus, including interaction terms into logistic regression models is an appropriate means to account for lacking conditional independence. Logistic regression exempts from the burden to worry about lack of conditional independence. Eventually, the relationship to log-linear models renders logistic regression with indicator predictor variables optimum for discrete predictor variables. Weights-of-evidence applies for indicator predictor variables only, logistic regression applies without restrictions of the type of predictor variables and approximates the proper distribution in the general case. 相似文献
6.
Kriging with strings of data 总被引：1，自引：0，他引：1
Clayton V. Deutsch 《Mathematical Geology》1994,26(5):623-638
The concept of a random function and, consequently, the application of kriging cells for the implicit assumption that the data locations are embedded within an infinite domain. An implication of this assumption is that, all else being equal, outlying data locations will receive greater weight because they are seen as less redundant, hence, more informative of the infinite domain. A two- step kriging procedure is proposed for correcting this siring effect. The first step is to establish the total kriging weight attributable to each string. The distribution of that total weight to the samples in the string is accomplished by a second stage of kriging. In the second stage, a spatial redundancy measure r(n)
is used in place of the covariance measure in the data-data kriging matrix. This measure is constructed such that each datum has the same redundancy with the (n)data of the string to which it belongs. This paper documents the problem of kriging with strings of data, develops the redundancy measure r(n),and presents a number of examples. 相似文献
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井下钻探结果和地震资料表明四川盆地北部上二叠统长兴组生物礁发育,通过对典型井长兴组岩性与电性资料的分析,明确了生物礁的岩性与储层发育特征。根据井下生物礁及围岩岩性与电性资料并结合过井地震剖面反射波的几何特征,建立台地边缘生物礁的地震正演数值模型,通过对比生物礁模型地震正演记录与实际生物礁地震剖面,建立针对研究区台地边缘生物礁的地震响应特征模式。依据生物礁的地震响应特征对该地区连片二、三维地震测线开展地震相分析,通过已有钻井地震相与沉积相对应关系分析,指出了长兴组生物礁在该地区的分布规律。四川北部地区地震相与沉积相带具有良好的对应关系,存在环台棚-海盆相的台地前缘斜坡-台地边缘生物礁相-开阔台地相沉积体系,地震剖面上生物礁的外部形态呈丘状或透镜状,内部为杂乱反射特征;礁盖白云岩具有亮点反射特征,生物礁底界面出现上凸或者下凹反射现象,生物礁的上部地层具有披覆反射结构,四川盆地北部地区长兴组台地边缘生物礁相在台棚-海盆相东、西两侧沿北西向呈条带状展布,分布面积大于2000km~2,生物礁气藏勘探潜力巨大。 相似文献
8.
在山区或地表复杂地区进行地震勘探,采用基于地表一致性假设的静校正将会严重影响勘探效果,该影响主要源于地表一致性假设存在着不合理因素。如较高的低速带、巨厚的低速带、基岩裸露、地形起伏较大等。为分析一致性假设静校正偏差产生的原因及大小．构建一地形起伏、基岩出露的复杂模型,通过正演其射线路径,对比其时距曲线与理论时距曲线的差异,以及二者静校正量误差大小。模型分析证实该差异与偏移距、地震波穿透深度及基准面高程之间存在直接的联系,据此提出了改进方法,如浮动基准面校正及分块静校正等。理论模型和实际地震资料试算表明,使用改进的方法可有效改善地震时间刮面同相轴聚焦效果及连续性。 相似文献
9.
三维地质建模中的多源数据融合技术与方法 总被引：2，自引：0，他引：2
建模数据多源性是三维地质建模最大的特点,模型构建的关键是将这些数据有效地融合以提高模型的精度和可靠性。首先统一地理、地质、物探、化探、遥感、钻探、采矿等建模数据的坐标系和比例尺,构建原始资料数据库。然后运用等高线数据构建数字高程模型（DEM）面,以DEM面为载体实现了地表填图路线PRB（point-routing-boundary）数据、矢量地质图、栅格地质图、遥感影像图等地表地质数据的有效融合;在已有地表地质数据和地下地质数据约束的条件下,通过约束及离散光滑插值技术实现了地表地质数据和地下地质数据的融合;根据已有建模数据确定合理的建模单元,对数据库中的点、线、面、体等数据进行归类,构建与建模单元一致的原始资料数据库。最后在原始资料数据库中,以高精度地质数据为约束对物探数据进行地质解译,综合已有建模数据,并考虑地质体的三维空间展布,实现了不同精度数据之间的融合;以主要建模数据构建初始地质界面,以高精度建模数据对已构建的初始地质界面进行约束,实现了主要建模数据与次要建模数据的融合。其中,点对线约束、点（线）对面约束、面对面约束等约束建模技术在建模数据融合过程中起重要作用。 相似文献
10.
Weidong Li 《Mathematical Geology》2007,39(3):321-335
Multi-dimensional Markov chain conditional simulation (or interpolation) models have potential for predicting and simulating
categorical variables more accurately from sample data because they can incorporate interclass relationships. This paper introduces
a Markov chain random field (MCRF) theory for building one to multi-dimensional Markov chain models for conditional simulation
(or interpolation). A MCRF is defined as a single spatial Markov chain that moves (or jumps) in a space, with its conditional
probability distribution at each location entirely depending on its nearest known neighbors in different directions. A general
solution for conditional probability distribution of a random variable in a MCRF is derived explicitly based on the Bayes’
theorem and conditional independence assumption. One to multi-dimensional Markov chain models for prediction and conditional
simulation of categorical variables can be drawn from the general solution and MCRF-based multi-dimensional Markov chain models
are nonlinear. 相似文献