谷志猛,夏同星,严皓,陈江龙
GU Zhimeng,XIA Tongxing,YAN Hao,CHEN Jianglong

• 1:中海石油(中国)有限公司天津分公司渤海石油研究院

摘要(Abstract)：

常规的高频衰减、低频增强等油气检测方法在渤海海域浅层油气田应用效果好,而在中深层油气田受地震资料品质、复杂构造、油气检测方法的选择等因素影响,效果不明显。为提高中深层油气田的油气检测精度,利用基于Gabor变换的反褶积方法将所提高研究区地震资料的主频和有效频宽,为油气检测研究提供基础;利用基于含可变因子的广义S变换对地震资料分频处理,提取对油气敏感频段内的优势振幅和作为敏感油气检测因子,预测油气的平面分布。针对预测结果与实钻信息存在差异,提出了基于数据光滑、去噪处理的油气检测信息增强技术并对预测结果增强处理。该技术应用于渤海L油田中深层目标得到的油气检测结果与实钻信息吻合程度高,两者在整体和细节方面一致性好,具有较高可靠性和可识别性。
Conventional oil and gas detection methods such as high-frequency attenuation and low-frequency enhancement have good applied effects in the shallow oil and gas fields in Bohai Sea, while their effects are not obvious in the medium and deep oil and gas fields due to the quality of seismic data, complex structure, selection of oil and gas detection methods and other influencing factors. In order to enhance the detected precision in the medium and deep oil and gas fields, with the help of deconvolution method based on Gabor transformation, the dominant amplitude and effective frequency width of the seismic data in the study area are increased, which provide the foundation for the study on oil and gas detection.By means of the generalized S-transform with variable factors, taking extracted dominant amplitude sum in the oil and gas sensitive amplitude interval as the hydrocarbon sensitivity detection factor, the areal distributions of oil and gas are predicted. In the light of the difference between predicted results and drilled information, the hydrocarbon detected information enhancing technique is proposed on the basis of data smoothing and noise elimination to process the predicted results. The oil and gas detection results obtained by this technology applied to the mid-deep target in Bohai Oilfield are in good agreement with the actual drilling information, both of which have good consistency in overall and details with high reliability and recognition.

关键词(KeyWords)： 油气检测;目标处理;敏感油气检测因子;优势振幅和;油气检测信息增强
oil and gas detection;target processing;sensitive oil and gas detection factor;dominant amplitude sum;oil and gas detected information enhancement

Abstract:

Keywords:

基金项目(Foundation): 国家科技重大专项“大型油气田及煤层气开发”(2016ZX05024)

作者(Author): 谷志猛,夏同星,严皓,陈江龙
GU Zhimeng,XIA Tongxing,YAN Hao,CHEN Jianglong

DOI: 10.19597/j.issn.1000-3754.202003033

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