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鄂尔多斯盆地南部黄土塬区地震资料处理与解释 第二部分:地震资料解释
引用本文:蒋加钰,付守献,李九灵. 鄂尔多斯盆地南部黄土塬区地震资料处理与解释 第二部分:地震资料解释[J]. 应用地球物理, 2005, 2(4): 247-253. DOI: 10.1007/s11770-005-0032-6
作者姓名:蒋加钰  付守献  李九灵
作者单位:东方地球物理公司研究院长庆分院,东方地球物理公司研究院长庆分院,东方地球物理公司研究院长庆分院 西安长庆兴隆园区,710021,西安长庆兴隆园区,710021,西安长庆兴隆园区,710021
摘    要:鄂尔多斯盆地南部的黄土高原,由于长期 风化、侵蚀,形成了树枝状水系与沟、塬、梁、峁、 坡并存的独特黄土地貌。针对这种复杂地表条件长 庆物探已建立了沿沟弯线为主、辅以黄土塬多线和 网状三维的采集方法;确立了高精度静校正、适度 去噪、共反射面元优化及已知井反射系数序列控制 的高保真处理方法、本文着重介绍处理、解释二大 环节的关键方法及应用效果。

关 键 词:模型  侵蚀面  地震资料  解释  储层  预测
收稿时间:2004-01-28

Seismic Data Processing and Interpretation on the Loess Plateau, Part 2: Seismic Data Interpretation
Jiang Jiayu,Fu Shouxian,and Li Jiuling Changqing Division of Research Institute of Dongfang Geophysical Company,Xi'an ,China.. Seismic Data Processing and Interpretation on the Loess Plateau, Part 2: Seismic Data Interpretation[J]. Applied Geophysics, 2005, 2(4): 247-253. DOI: 10.1007/s11770-005-0032-6
Authors:Jiang Jiayu  Fu Shouxian  and Li Jiuling Changqing Division of Research Institute of Dongfang Geophysical Company  Xi'an   China.
Affiliation:(1) Changqing Division of Research Institute of Dongfang Geophysical Company, 710021 Xi’an, China
Abstract:The loess plateau covering the North Shaanxi slope and Tianhuan depression consists of a regional monocline, high in the east and low in the west, with dips of less than 1? Structural movement in this region was weak so that faults and local structures were not well developed. As a result, numerous wide and gentle noses and small traps with magnitudes less than 50 m were developed on the large westward-dipping monocline. Reservoirs, including Mesozoic oil reservoirs and Paleozoic gas reservoirs in the Ordos Basin, are dominantly lithologic with a small number of structural reservoirs. Single reservoirs are characterized as thin with large lateral variations, strong anisotropy, low porosity, low permeability, and low richness. A series of approaches for predicting reservoir thickness, physical properties, and hydrocarbon potential of subtle lithologic reservoirs was established based on the interpretation of erosion surfaces.
Keywords:Model   erosion surface   interpretation   Seisnmic data and reservoir prediction.
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