免疫遗传算法及其在波阻抗反演中的应用
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摘要
提出一种改进的免疫遗传算法(IGA)并用于波阻抗反演。IGA设计了基于抗体激励度和抗体浓度的免疫选择算子及加速全局收敛的非一致性变异算子,提出了抗体规模自适应调整机制,IGA能够改善传统非线性反演方法易早熟和局部收敛等弊端。通过理论模型试算表明,IGA具有较高的反演精度和反演效率;阳泉二矿实际资料反演所得剖面的纵向分辨率明显高于实际地震剖面,弱反射波的连续性和可检测性明显提高,表明改进的免疫遗传算法适用于煤炭地震波阻抗反演。
This paper proposed an improved immune genetic algorithm(IGA)and applied into wave impedance inversion.Defined an immune selection operator based on antibody inspirit and chroma and proposed non-consistent variation operator to accelerate global convergence.In IGA adjusted antibody size self-adaptively.The IGA was able to improve the problems of premature and local convergence in traditional nonlinear inversion methods.It is shown by theoretical model that IGA has high-precision and high-efficiency in wave impedance inversion.It is shown by practical data of Yangquan that the resolution of the inverted section is obviously higher than the seismic section and improves the continuity and detection capability of weak reflection.The improved IGA can be used in coal mine wave impedance inversion.
This paper proposed an improved immune genetic algorithm(IGA)and applied into wave impedance inversion.Defined an immune selection operator based on antibody inspirit and chroma and proposed non-consistent variation operator to accelerate global convergence.In IGA adjusted antibody size self-adaptively.The IGA was able to improve the problems of premature and local convergence in traditional nonlinear inversion methods.It is shown by theoretical model that IGA has high-precision and high-efficiency in wave impedance inversion.It is shown by practical data of Yangquan that the resolution of the inverted section is obviously higher than the seismic section and improves the continuity and detection capability of weak reflection.The improved IGA can be used in coal mine wave impedance inversion.
引文
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[2]路鹏飞,杨长春,郭爱华.改进的模拟退火算法及其在叠前储层参数反演中的应用[J].地球物理学进展,2008,23(1):104-109.
[3]霍凤斌.混沌模拟退火在储层参数反演中的应用[D].成都:成都理工大学,2007.
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[5]杨立强,宋海斌,郝天珧.基于BP神经网络的波阻抗反演及应用[J].地球物理学进展,2005,20(1):34-37.
[6]蔡涵鹏,贺振华,黄德济.基于粒子群优化算法波阻抗反演研究与应用[J].石油地球物理勘探,2008,3(5):535-539.
[7]袁三一,陈晓宏.一种新的地震子波与层速度反演方法[J].地球物理学进展,2008,23(1):198-205.
[8]易远元.地震波阻抗反演的粒子群算法实现[J].石油天然气学报,2007,29(3):79-81.
[9]罗红明,王家映,朱培民.基于免疫算法的地球物理反演研究[J].石油地球物理勘探,2008,43(2):222-228.
[10]HSIEHY C,YOUP S.An immune algorithm for the optimal mainte-nance of new consecutive-component systems[C]//Proc of the9th Pacific International Conference on Artificial Intelligence.Berlin:Springer,2006:929-933.
[11]HSIEHY C,LEE Y C,CHEN Ta-cheng.An IA based approach for the optimal design of traffic-monitor systems[C]//Proc of the8th In-ternational Conference on Adaptive and Natural Computing Algo-rithms.Berlin:Springer,2007:526-535.
[12]DASGUPTA D.Advances in artificial immune systems[J].IEEE Computational Intelligence Magazine,2006,1(4):40-43.
[2]路鹏飞,杨长春,郭爱华.改进的模拟退火算法及其在叠前储层参数反演中的应用[J].地球物理学进展,2008,23(1):104-109.
[3]霍凤斌.混沌模拟退火在储层参数反演中的应用[D].成都:成都理工大学,2007.
[4]王宝珍,杨文采.用改进的遗传算法进行地震波阻抗反演研究[J].石油地球物理勘探,1998,33(2):258-264.
[5]杨立强,宋海斌,郝天珧.基于BP神经网络的波阻抗反演及应用[J].地球物理学进展,2005,20(1):34-37.
[6]蔡涵鹏,贺振华,黄德济.基于粒子群优化算法波阻抗反演研究与应用[J].石油地球物理勘探,2008,3(5):535-539.
[7]袁三一,陈晓宏.一种新的地震子波与层速度反演方法[J].地球物理学进展,2008,23(1):198-205.
[8]易远元.地震波阻抗反演的粒子群算法实现[J].石油天然气学报,2007,29(3):79-81.
[9]罗红明,王家映,朱培民.基于免疫算法的地球物理反演研究[J].石油地球物理勘探,2008,43(2):222-228.
[10]HSIEHY C,YOUP S.An immune algorithm for the optimal mainte-nance of new consecutive-component systems[C]//Proc of the9th Pacific International Conference on Artificial Intelligence.Berlin:Springer,2006:929-933.
[11]HSIEHY C,LEE Y C,CHEN Ta-cheng.An IA based approach for the optimal design of traffic-monitor systems[C]//Proc of the8th In-ternational Conference on Adaptive and Natural Computing Algo-rithms.Berlin:Springer,2007:526-535.
[12]DASGUPTA D.Advances in artificial immune systems[J].IEEE Computational Intelligence Magazine,2006,1(4):40-43.
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