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parameter estimating
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  parameter estimating
Application of martingale arguments to the regression parameter estimating function show the Breslow (1974) estimator to be consistent and asymptotically Gaussian under this model.
      
Compared with other traditional methods, this control law reduces on-line parameter estimating burden.
      
The 15 L volume provides sufficient biomass to conduct parameter-estimating experiments from a BNR-functioning biomass.
      
This concept is consistent with low-order autoregressive linear models, and is routinely used for parameter estimating.
      


An approach of non-linear AVO inversion constrained by a priori geological information is presented in this paper.The elastic parameters including P-wave velocity,S-wave velocity and density of every time sampling point in the reservoir window on prestack seismic gatherare esti mated by the prior-constrained maximum-likelihood inversion based on layered model and dynamic ray tracing,and the parameters of poisson's ratio are also derived.The differentials of reflection and transmission cofficients...

An approach of non-linear AVO inversion constrained by a priori geological information is presented in this paper.The elastic parameters including P-wave velocity,S-wave velocity and density of every time sampling point in the reservoir window on prestack seismic gatherare esti mated by the prior-constrained maximum-likelihood inversion based on layered model and dynamic ray tracing,and the parameters of poisson's ratio are also derived.The differentials of reflection and transmission cofficients respect to model parameters are calculated analytically,and the inversion procedure is controlled by adaptive factors,which make the iterative computation speed and stable.Since the inversion is constrained by a priori geological information,the resolution of parameter estimates and the robustness to noise interference are improved,and the inversion results according with the geologlcal regularities can be obtaine.The approach is tested on a synthetic model and a group of 3D seismic bin gathers.The results show that the approach can be used to perform the reservoir-oriented inversion on prestack seismic data for estimating elastic parameters.

采用基于层状模型和动态射线追踪的先验约束最大似然反演过程,求解叠前地震道集储层时窗内各个时间采样点的纵、横波速度和密度等弹性参数,并由此计算泊松比参数.用解析算式计算Jacobi矩阵中反射和透射系数关于模型参数的偏导数,并用自适应因子控制约束反演过程,使得迭代计算快速和稳定.由于在反演中加上了先验地质信息的约束,提高了参数估算的分辨率和抗噪音能力,并且可以获得符合地质规律的反演结果.理论模型和一组三维地震面无道集的反演结果表明,这种方法可以应用于面向储层的叠前地震资料弹性参数反演.

Well log interprctation plays an important role in hydrocarbon reserve cvaluation for which the estimation of the effective porosity,water saturation, effective thickness and the lateral tracing for oil,gas and water formations are considered to be especially Anportant. This paper shows how the parameters such as the porosiiy, saturation, effective thickness and other geologic parameters estimated via some well log interpretation were verified in a practice of hydrocarbon reserve estimation in North...

Well log interprctation plays an important role in hydrocarbon reserve cvaluation for which the estimation of the effective porosity,water saturation, effective thickness and the lateral tracing for oil,gas and water formations are considered to be especially Anportant. This paper shows how the parameters such as the porosiiy, saturation, effective thickness and other geologic parameters estimated via some well log interpretation were verified in a practice of hydrocarbon reserve estimation in North Tarim.

测井资料解释是油气藏储量计算中的重要环节,尤其是通过测井响应特征来评价有效孔隙度、含水饱和度、有效厚度、油气水层的横向追踪等是储量计算的关键。本文结合塔北地区计算油气藏储量的经验,将测井解释中获得的孔隙度、饱和度、有效厚度等地质参数在实践中进行了检验,取得了满意的效果。

In the final analysis, residual statics estimation is the problem how to search the global optimum point of stack power objective function with regard to model parameters of shot and receiver residual static correction values. Methods of statistical correlation fail to correctly pick up static correction values when residual static correction values are large and S/N (signal to noise) ratio of seismic traces is low. In this paper the global optimum point or it's approximate value can be found by applied...

In the final analysis, residual statics estimation is the problem how to search the global optimum point of stack power objective function with regard to model parameters of shot and receiver residual static correction values. Methods of statistical correlation fail to correctly pick up static correction values when residual static correction values are large and S/N (signal to noise) ratio of seismic traces is low. In this paper the global optimum point or it's approximate value can be found by applied the optimum model parameters estimated by iterative inversion of three organized algorithms called CMP (common-median-point) intertrace cross-correlation algorithm、Laplacian's image edge extraction algorithm and DFP algorithm (establishedby Davidon, Fletcher, Powell). It's theoretically and practically shown that the inversion method can prevent cycle skips due to large statics and has extensive practiceapplication values.

估算剩余静校正量可看作是以激发点及接收点剩余静校正量为模型参数的、以叠加能量为目标函数的全局最优值的搜索问题.当地震记录的剩余静校正量大而信噪比较低时,应用相关统计法不能有效地拾取静校正量.本文分别采用了CMP道集内道间互相关法、图像边缘提取的Laplacian算法及DFP算法,三种不同算法联合迭代反演可求取最佳的模型参数,使目标函数值达到或接近于全局最优.理论试算及实际资料处理效果表明,这种方法能够解决低信噪比及大静校正量造成的周期跳跃等静校正问题.

 
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