Particle swarm optimization and its application to seismic inversion of igneous rocks
In order to improve the fine structure inversion ability of igneous rocks for the exploration of underlying strata, based on particle swarm optimization (PSO), we have developed a method for seismic wave impedance inversion. Through numerical simulation, we tested the effects of different algorithm...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2017-03-01
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| Series: | International Journal of Mining Science and Technology |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2095268617300654 |
| _version_ | 1811236855842078720 |
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| author | Haijun Yang Yongzhong Xu Gengxin Peng Guiping Yu Meng Chen Wensheng Duan Yongfeng Zhu Yongfu Cui Xingjun Wang |
| author_facet | Haijun Yang Yongzhong Xu Gengxin Peng Guiping Yu Meng Chen Wensheng Duan Yongfeng Zhu Yongfu Cui Xingjun Wang |
| author_sort | Haijun Yang |
| collection | DOAJ |
| description | In order to improve the fine structure inversion ability of igneous rocks for the exploration of underlying strata, based on particle swarm optimization (PSO), we have developed a method for seismic wave impedance inversion. Through numerical simulation, we tested the effects of different algorithm parameters and different model parameterization methods on PSO wave impedance inversion, and analyzed the characteristics of PSO method. Under the conclusions drawn from numerical simulation, we propose the scheme of combining a cross-moving strategy based on a divided block model and high-frequency filtering technology for PSO inversion. By analyzing the inversion results of a wedge model of a pitchout coal seam and a coal coking model with igneous rock intrusion, we discuss the vertical and horizontal resolution, stability and reliability of PSO inversion. Based on the actual seismic and logging data from an igneous area, by taking a seismic profile through wells as an example, we discuss the characteristics of three inversion methods, including model-based wave impedance inversion, multi-attribute seismic inversion based on probabilistic neural network (PNN) and wave impedance inversion based on PSO. And we draw the conclusion that the inversion based on PSO method has a better result for this igneous area. Keywords: Particle swarm optimization, Seismic inversion, Igneous rocks, Probabilistic neutral network, Model-based inversion |
| first_indexed | 2024-04-12T12:15:15Z |
| format | Article |
| id | doaj.art-0a81dfe5fdfb4428b85fc6aa7c2dd40b |
| institution | Directory Open Access Journal |
| issn | 2095-2686 |
| language | English |
| last_indexed | 2024-04-12T12:15:15Z |
| publishDate | 2017-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | International Journal of Mining Science and Technology |
| spelling | doaj.art-0a81dfe5fdfb4428b85fc6aa7c2dd40b2022-12-22T03:33:26ZengElsevierInternational Journal of Mining Science and Technology2095-26862017-03-01272349357Particle swarm optimization and its application to seismic inversion of igneous rocksHaijun Yang0Yongzhong Xu1Gengxin Peng2Guiping Yu3Meng Chen4Wensheng Duan5Yongfeng Zhu6Yongfu Cui7Xingjun Wang8Institute of China Petroleum Tarim Oilfield Company, Korla 841000, ChinaSchool of Resource and Geosciences, China University of Mining and Technology, Xuzhou 221008, China; Corresponding author.Institute of China Petroleum Tarim Oilfield Company, Korla 841000, ChinaInstitute of Geology and Geophysics, Chinese Academy of Science, Beijing 100029, ChinaInstitute of China Petroleum Tarim Oilfield Company, Korla 841000, ChinaInstitute of China Petroleum Tarim Oilfield Company, Korla 841000, ChinaInstitute of China Petroleum Tarim Oilfield Company, Korla 841000, ChinaInstitute of China Petroleum Tarim Oilfield Company, Korla 841000, ChinaInstitute of China Petroleum Tarim Oilfield Company, Korla 841000, ChinaIn order to improve the fine structure inversion ability of igneous rocks for the exploration of underlying strata, based on particle swarm optimization (PSO), we have developed a method for seismic wave impedance inversion. Through numerical simulation, we tested the effects of different algorithm parameters and different model parameterization methods on PSO wave impedance inversion, and analyzed the characteristics of PSO method. Under the conclusions drawn from numerical simulation, we propose the scheme of combining a cross-moving strategy based on a divided block model and high-frequency filtering technology for PSO inversion. By analyzing the inversion results of a wedge model of a pitchout coal seam and a coal coking model with igneous rock intrusion, we discuss the vertical and horizontal resolution, stability and reliability of PSO inversion. Based on the actual seismic and logging data from an igneous area, by taking a seismic profile through wells as an example, we discuss the characteristics of three inversion methods, including model-based wave impedance inversion, multi-attribute seismic inversion based on probabilistic neural network (PNN) and wave impedance inversion based on PSO. And we draw the conclusion that the inversion based on PSO method has a better result for this igneous area. Keywords: Particle swarm optimization, Seismic inversion, Igneous rocks, Probabilistic neutral network, Model-based inversionhttp://www.sciencedirect.com/science/article/pii/S2095268617300654 |
| spellingShingle | Haijun Yang Yongzhong Xu Gengxin Peng Guiping Yu Meng Chen Wensheng Duan Yongfeng Zhu Yongfu Cui Xingjun Wang Particle swarm optimization and its application to seismic inversion of igneous rocks International Journal of Mining Science and Technology |
| title | Particle swarm optimization and its application to seismic inversion of igneous rocks |
| title_full | Particle swarm optimization and its application to seismic inversion of igneous rocks |
| title_fullStr | Particle swarm optimization and its application to seismic inversion of igneous rocks |
| title_full_unstemmed | Particle swarm optimization and its application to seismic inversion of igneous rocks |
| title_short | Particle swarm optimization and its application to seismic inversion of igneous rocks |
| title_sort | particle swarm optimization and its application to seismic inversion of igneous rocks |
| url | http://www.sciencedirect.com/science/article/pii/S2095268617300654 |
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