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探井资料快速整理建库的过程和方法
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作者 燕汉业 陈建华 +1 位作者 凌宇 王洪礼 《石油工业计算机应用》 2004年第1期3-5,5,共3页
利用SQLserver建立小型专业数据库。研究了探井资料从生产采集,到整理归档建库的全过程,提出了一套数据快速整理的方法。该方法采用了电子扫描技术、汉字识别技术、计算机无纸编辑技术、数据处理技术和数据库技术,将单井档案纸文档入录... 利用SQLserver建立小型专业数据库。研究了探井资料从生产采集,到整理归档建库的全过程,提出了一套数据快速整理的方法。该方法采用了电子扫描技术、汉字识别技术、计算机无纸编辑技术、数据处理技术和数据库技术,将单井档案纸文档入录加载到数据库。实践结果表明,把探井档案资料先进行纸文档电子化,再进行数据结构化整理,最后建立数据库,既保证了数据资料与原始档案的一致性,又加快了数据整理建库速度,是加快大型油气勘探数据库建设步伐的好方法。 展开更多
关键词 探井资料 数据库 计算机无纸编辑技术 数据处理技术 油气勘探
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3D HIGH RESOLUTION SEISMIC PROSPECTING IN MINING AREAS,XIEQIAO COLLIERY
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作者 崔若飞 《Journal of China University of Mining and Technology》 1996年第1期88-96,共9页
3D seismic prospecting in mining areas of Xieqiao Colliery is a successfulmodel for an advancement from the resource prospecting to mining prospecting stagein coal fields. Its results have proved that faults with a th... 3D seismic prospecting in mining areas of Xieqiao Colliery is a successfulmodel for an advancement from the resource prospecting to mining prospecting stagein coal fields. Its results have proved that faults with a throw of 5-10 m can be detected in an area with good seismogeologic conditions by using 3D seismic technique.Detection of underground tunnels for the first time utilizing 3D seismic data indicates that subsided columns, gotten and mine goaf can be detected using 3D seismic technique, so it has a broad applied prospect. 展开更多
关键词 3D seismic prospecting seismic data interpretation FAULT pattern recognition
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The Application of Well Logging to CBM Exploration
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作者 J.F. Yu K. Guo X.X. Yuan Y. Yu 《Journal of Energy and Power Engineering》 2010年第4期12-19,共8页
Well logging technology in coalbed methane (CBM) exploration may develop in two directions: one is the novel well logging methods; the other is the new interpretation methods for the conventional logging data, on w... Well logging technology in coalbed methane (CBM) exploration may develop in two directions: one is the novel well logging methods; the other is the new interpretation methods for the conventional logging data, on which the authors of this paper concentrated mainly. The paper introduced several methods in calculating with well logs such important parameters as porosity, permeability and gas content of CBM reservoir and evaluated their effectiveness. A new method of well logging data interpretation was put forward for coalbed recognition, i.e., the combination of the principal component analysis and the wavelet transform. The authors find that the second principal component (PCA2) contains much more information of coalbed in the coal-bearing series and the reconstruction signal from the detailed wavelet coefficients at level 4 (PCA24) and 5 (PCA25) highlights the signature ofcoalbeds. In terms of the characteristics of CBM reservoir in China, the authors summarized the key points in the application of well logging technique to CBM exploration, and gave a guideline for further related research work. 展开更多
关键词 CBM well logging neural network wavelet analysis
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