Spline Function as an Alternative Method to Seismic Data Analysis

Ijomah Maxwell Azubuike; Bassey Nsikan Akpan

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Spline Function as an Alternative Method to Seismic Data Analysis

机译：样条函数作为地震数据分析的替代方法

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It is well known that interpolating polynomial splines can be derived as the solution of certain variational problems. In this paper, we applied a spline function model in analyzing seismic data. The model was able to carry out smoothing. It was observed that as depth of source (explosive) increases, the error in the velocity reduces which optimizes signal to noise ratio. The new model developed proffer solutions to complex surface and subsurface image problem and help to develop minimal environmental solution to acquiring seismic data land accessibility.

机译：众所周知，可以将内插多项式样条作为某些变分问题的解决方案。在本文中，我们将样条函数模型应用于地震数据分析。该模型能够进行平滑处理。观察到，随着震源深度（爆炸）的增加，速度误差减小，从而优化了信噪比。新模型为复杂的地表和地下图像问题提供了解决方案，并帮助开发了最小的环境解决方案来获取地震数据的土地可及性。

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《International Journal of Statistics and Applications》 |2017年第1期|共页
作者
Ijomah Maxwell Azubuike; Bassey Nsikan Akpan;
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2. Correction A visual data-mining methodology for seismic facies analysis: Part 2-Application to 3D seismic data [J] . Marroquin ID, Hart BS, Brault JJ Geophysics: Journal of the Society of Exploration Geophysicists . 2009,第2期

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3. A visual data-mining methodology for seismic facies analysis: Part 2 _ Application to 3D seismic data [J] . lván Dimitri Marroqu_n, Jean-Jules Brault, Bruce S. Hart Geophysics: Journal of the Society of Exploration Geophysicists . 2009,第1期

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5. Analysis of ship flow in an ideal fluid using Guilloton's method and spline functions. [D] . Chuang, Jiunn-Ming. 1984

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Spline Function as an Alternative Method to Seismic Data Analysis

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