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| 强振幅地震属性分析技术在车排子地区油气检测中的应用 | |
| 引用本文： | 王离迟,洪太元,江洪.强振幅地震属性分析技术在车排子地区油气检测中的应用[J].新疆地质,2006,24(3):310-313. |
| 作者姓名： | 王离迟 洪太元 江洪 |
| 作者单位： | 1. 中国科学院地质与地球物理研究所,北京,100029;中石化石油勘探开发研究院西部分院,新疆,乌鲁木齐,830011 2. 中石化石油勘探开发研究院,北京,100083;中国石油大学,北京,102249 3. GNT国际公司北京办事处,北京,100029 |
| 摘 要： | 准噶尔盆地西缘车排子地区是目前中石化的有利探区,P2井的突破,加速了该区油气勘探的步伐.为了提高勘探的经济效益,用地震特殊处理手段对有利目标进行预测就显得非常重要和迫切.本文运用强振幅属性分析技术有效地预测了该区的有利目标区,并经实钻证实.强振幅属性分析技术是目前车排子地区油气检测的有效手段. |
| 关 键 词： | 强振幅地震 属性分析 车排子地区 油气勘探 |
| 文章编号： | 1000-8845(2006)03-310-04 |
| 收稿时间： | 01 4 2006 12:00AM |
| 修稿时间： | 03 23 2006 12:00AM |
THE APPLICATION OF STRONG SEISMIC AMPLITUDE PROPERTY ANALYSIS TECHNOLOGY TO PETROLEUM TESTS, CHEPAIZI UPLIFT |
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| WANG Li-chi,HONG Tai-yuan,JIANG Hong.THE APPLICATION OF STRONG SEISMIC AMPLITUDE PROPERTY ANALYSIS TECHNOLOGY TO PETROLEUM TESTS, CHEPAIZI UPLIFT[J].Xinjiang Geology,2006,24(3):310-313. | |
| Authors: | WANG Li-chi HONG Tai-yuan JIANG Hong |
| Institution: | 1. Geology and Geophysical Department, Chinese Academy of Sciences, Beijing, 100029, China;2. West Branch, Research Institute of Petroleum Exploration and Production, SINOPEC, Urumqi, Xinjiang, 830011, China;3. Research Institute of Petroleum Exploration and Production, SINOPEC, Beijing,100083, China;4.China University of Petroleum, Beijing 102249, China;5. GNT International, Inc. Beijing Office, Beijing, 100029, China |
| Abstract: | Chepaizi of Western Junggar is a favorable exploration area for SINOPEC presently. The breakthrough of well Pai 2 speeds up the exploration step in this area. In order to improve the economic benefit, forecasting the favorable target by seismic special-purpose processing is a very important mission.The authors forecasted the favorable target by seismic special-purpose processing.The result was verified by the drilling as well.At present,The Strong Amplitude Property Analysis Technology is a good method for Oil and Gas tests in Chepaizi Uplift. |
| Keywords: | Favorable target Strong Seismic Amplitude Property Analysis Technology Chepaizi Junggar Basin Oil-gas exploration |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |