| 基于人工鱼群算法和SCA等效理论的井中横波速度预测方法 |
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| 引用本文： | 魏忠宇,刘财,郭智奇,张冰,刘喜武.基于人工鱼群算法和SCA等效理论的井中横波速度预测方法[J].世界地质,2018,37(1):282-288. |
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| 作者姓名： | 魏忠宇 刘财 郭智奇 张冰 刘喜武 |
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| 作者单位： | 1. 吉林大学地球探测科学与技术学院, 长春 130026;2. 页岩油气富集机理与有效开发国家重点实验室, 北京 100083;3. 中国石化页岩油气勘探开发重点实验室, 北京 100083;4. 中国石化石油勘探开发研究院, 北京 100083 |
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| 基金项目： | 国家自然科学基金重点项目（41430322）、国家自然科学基金青年项目（41404090）、国家自然科学基金石油化工联合基金（U1663207）、页岩油气富集机理与有效开发国家重点实验室开放基金资（G5800-16-ZS-KFZY002）联合资助. |
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| 摘 要： | 在建立页岩岩石物理模型的基础上,根据等效自相容近似(SCA)岩石物理模型,构建出岩石的纵波速度、横波速度与岩石密度、组分和孔隙度等的定量关系,得出使理论纵波速度和实际纵波速度最接近的孔隙纵横比,进而将该孔隙纵横比作为约束条件来实现横波速度预测。反演算法利用人工鱼群算法来计算最佳孔隙纵横比,并将预测的横波速度与实际测得的横波速度对比,证明了人工鱼群算法的有效性。
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| 关 键 词： | 人工鱼群算法 等效自相容近似 页岩 孔隙纵横比 横波速度预测 |
| 收稿时间： | 2017-01-11 |
| 修稿时间： | 2017-05-12 |
Shear wave velocity prediction based on artificial fish-swarm algorithm and SCA equivalent theory |
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| WEI Zhong-yu,LIU Cai,GUO Zhi-qi,ZHANG Bing,LIU Xi-wu.Shear wave velocity prediction based on artificial fish-swarm algorithm and SCA equivalent theory[J].World Geology,2018,37(1):282-288. |
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| Authors: | WEI Zhong-yu LIU Cai GUO Zhi-qi ZHANG Bing LIU Xi-wu |
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| Institution: | 1. College of Geo-exploration Science and Technology, Jilin University, Changchun 130026, China;2. State Key Laboratory of Shale Oil and Gas Enrichment Mechanisms and Effective Development, Beijing 100083, China;3. Key Laboratory of Shale Oil/Gas Exploration and Production Technology, SinoPEC, Beijing 100083, China;4. Exploration & Production Research Institute, SinoPEC, Beijing 100083, China |
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| Abstract: | Based on the rock physics model of shale, according to the rock physics model of equivalent self consistent approximation (SCA), the authors build the quantitative relationship between P-wave, S-wave and the rock density, rock composition and rock porosity to find a pore aspect ratio can minimize the error of the theoretical P-wave velocity and the actual P-wave velocity. Then the authors use this pore aspect ratio as the constraint condition to achieve the prediction of shear wave velocity. The inversion algorithm uses the artificial fish swarm algorithm to calculate the optimal aspect ratio, and compares the predicted shear wave velocity with the actual measured shear wave velocity which proves the effectiveness of the artificial fish-swarm algorithm. |
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| Keywords: | artificial fish-swarm algorithm equivalent self consistent approximation shale pore aspect ratio shear wave velocity prediction |
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