| 地震储层厚度预测精度分析及在塔里木地区的应用 |
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| 引用本文： | 李洁,张超,孙琦,赵海涛,高登宽,白银,苏洲.地震储层厚度预测精度分析及在塔里木地区的应用[J].护理与康复,2014(2):64-68. |
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| 作者姓名： | 李洁 张超 孙琦 赵海涛 高登宽 白银 苏洲 |
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| 作者单位： | 中国石油塔里木油田分公司 新疆 库尔勒 841000,中国石油塔里木油田分公司 新疆 库尔勒 841000,中国石油塔里木油田分公司 新疆 库尔勒 841000,中国石油塔里木油田分公司 新疆 库尔勒 841000,中国石油塔里木油田分公司 新疆 库尔勒 841000,中国石油塔里木油田分公司 新疆 库尔勒 841000,中国石油塔里木油田分公司 新疆 库尔勒 841000 |
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| 摘 要： | 为了分析储层厚度预测精度,首先根据实际数据建立正演模型并进行正演模拟,然后采用地震剖面识别、宽带约束反演、矢量属性3种方法对正演模拟数据进行分析,最终得到3种方法下的储层厚度预测精度。同时,在理论正演数据中加入噪声,研究这3种方法对噪声的敏感度,研究结果表明地震剖面识别和宽带约束反演方法在预测储层厚度时抗噪性较好,而矢量属性方法则对地震资料的信噪比要求较高。将理论研究成果应用于塔里木哈得地区,得到基于宽带约束反演和矢量属性方法预测的研究区内储层厚度平面图,并给出了储层段尖灭线,效果明显。
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| 关 键 词： | 储层预测 数值模拟 宽带约束反演 矢量属性 尖灭线 |
Accuracy Analysis of Reservoir Thickness Prediction with Seismic Data and Its Application in Tarim Basin |
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| Li Jie,Zhang Chao,Sun Qi,Zhao Haitao,Gao Dengkuan,Bai Yin and Su Zhou.Accuracy Analysis of Reservoir Thickness Prediction with Seismic Data and Its Application in Tarim Basin[J].Nursing and Rehabilitation Journal,2014(2):64-68. |
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| Authors: | Li Jie Zhang Chao Sun Qi Zhao Haitao Gao Dengkuan Bai Yin and Su Zhou |
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| Affiliation: | PetroChina Tarim Oilfield Company, Korla, Xinjiang 841000, China,PetroChina Tarim Oilfield Company, Korla, Xinjiang 841000, China,PetroChina Tarim Oilfield Company, Korla, Xinjiang 841000, China,PetroChina Tarim Oilfield Company, Korla, Xinjiang 841000, China,PetroChina Tarim Oilfield Company, Korla, Xinjiang 841000, China,PetroChina Tarim Oilfield Company, Korla, Xinjiang 841000, China and PetroChina Tarim Oilfield Company, Korla, Xinjiang 841000, China |
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| Abstract: | For analyzing the prediction accuracy of reservoir thickness, firstly, this paper establishes a forwarding model from real data and processes forward modeling, and then analyzes the forward modeling data by three methods including the identification of seismic section, broadband constrained inversion and vector attributes, and finally achieves prediction accuracy of reservoir thickness on the three methods. At the same time, this paper studies the sensitivity of noise from the three methods by adding noise to the theoretical forward data, and the study indicates that the noise immunity of the identification of seismic section and broadband constrained inversion methods is fine, but the vector attributes need the seismic data of high signal-to-noise ratio. The theoretical study is applied to Hade area of Tarim Basin, and the plans of reservoir thickness in the area are achieved by broadband constrained inversion and vector attributes methods, and the classification scheme of reservoir pinch-out line in the study area is got, which achieves good results. |
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| Keywords: | reservoir prediction broadband constrained inversion vector attributes pinch-out boundary |
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