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基于地震AVO属性的煤层气富集区预测
引用本文:孙斌,杨敏芳,孙霞,孙粉锦. 基于地震AVO属性的煤层气富集区预测[J]. 天然气工业, 2010, 30(6): 15-18. DOI: 10.3787/j.issn.10000976.2010.06.004
作者姓名:孙斌  杨敏芳  孙霞  孙粉锦
作者单位:1.中国矿业大学(北京);2.中国石油勘探开发研究院廊坊分院;3.中国地质大学(北京);4.中国石油华北油田公司审计处
摘    要:为了判定AVO技术是否能够用于对煤层气的预测,研究了煤储层含气性与地震AVO属性之间的关系,获得煤储层参数与地震波弹性参数之间的关系式及其AVO响应特征,发现煤储层的含气量随纵波速度、横波速度、密度的增大而减小。对鄂尔多斯盆地大宁—吉县地区5#煤层进行了AVO数值模拟,并预测出其煤层气的相对富集区。AVO数值模拟结果表明,高产井所在的煤储层一般有较强的AVO异常。结论认为:利用AVO属性能够对煤层气的富集区进行预测并为煤层气井位的部署提供依据。

关 键 词:煤层气  AVO技术  地震响应特征  含气量  弹性参数  数值模拟  大宁—吉县地区

Prediction of coalbed methane enrichment zones based on AVO attributes
Sun Bin , Yang Minfang , Sun Xia , Sun Fenjin. Prediction of coalbed methane enrichment zones based on AVO attributes[J]. Natural Gas Industry, 2010, 30(6): 15-18. DOI: 10.3787/j.issn.10000976.2010.06.004
Authors:Sun Bin    Yang Minfang    Sun Xia    Sun Fenjin
Affiliation:1.China University of Mining and Technology, Beijing 100083, China; 2.Langfang Branch, Petroleum Exploration & Development Research Institute, PetroChina, Langfang, Hebei 056007, China; 3.China University of Geosciences, Beijing 100083, China; 4.Auditing Department of PetroChina Huabei Oilfield Company, Renqiu, Hebei 062552, China
Abstract:In order to identify if the AVO technology can be also used for the prediction of coalbed methane gas, this paper studies the relationship between gas potential of coal beds and its AVO attributes. A relational expression between coal reservoir parameters and seismic wave elasticity parameters is established and their AVO responses are defined. It is discovered that the gas content of coal reservoirs is decreasing with the increase of P and S wave velocities as well as density. The AVO numerical simulation is performed on the coal bed 5# in the Daning Jixian area of the Ordos Basin to predict the relative CBM enrichment zones. The simulation results show that the coal reservoirs with high yielding wells generally show relatively strong AVO abnormal phenomena. Field application shows that AVO attributes can be used to predict CBM enrichment zones, thus providing a robust basis for CBM well emplacement.
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