Abstract：Ming Huazhen Formation is the main oil-bearing series in Oilfield in Bohai Huang Hekou sag. The oil and water sands of Bohai Huanghekou sag showed strong amplitude highlight characteristics, and difficult to distinguish from poststack and prestack attributes. This paper takes the A oilfield as an example and according to the seismic response characteristics of oil and gas in this area, the low frequency area of seismic data is taken as the maximum difference frequency of oil and gas, and the frequency domain is extracted. In the time domain, amplitude exponential weighted is applied to extracted seismic data, so the oil layer is characterized by bright spot characteristic. The bright spot directly indicates oil and gas, and then reaches the purpose of hydrocarbon detection. All the sand bodies within the target area were statistically analysed. The prediction accuracy of hydrocarbon bearing sand bodies in the shallow layer of A oilfield is increased from 69% to 86% with the bright spot attribute of hydrocarbon. In particular, the prediction accuracy of the water bearing sand bodies in the oilfield is increased from 63% to 96%,and solved the problem of oil water distinction and oil gas reservoir identification in A oilfield. This method not only improves the computational efficiency, but also solves the problem of the identification of oil and gas reservoirs in A oil field.
张平平, 秦德海. 含烃亮点属性在渤海黄河口凹陷明化镇组油气识别中的应用[J]. 物探与化探, 2017, 41(4): 684-688.
ZHANG Ping-Ping, QIN De-Hai. Application of bright spot containing hydrocarbon in oil and gas identification of Ming Huazhen Formation in Bohai Huang Hekou depression. Geophysical and Geochemical Exploration, 2017, 41(4): 684-688.
[1] 张延玲,杨长春,贾曙光,等.地震属性技术的研究和应用[J].地球物理学进展,2005,20(4):1129-1133. [2] 郭华军,刘庆成.地震属性技术的历史、现状及发展趋势[J].物探与化探,2008,32(1):19-22. [3] 王开燕,徐清彦,张桂芳,等.地震属性分析技术综述[J].地球物理学进展,2013,28(2):815-823. [4] 郭华军,黄革萍,徐洋.油气检测技术在莫索湾地区的应用[J].物探与化探,2013,37(2):264-268. [5] 孙翠娟,张文,张旗,等.利用纵横波反射系数差检测含油气性方法及其应用效果[J].中国海上油气,2007,19(1):13-17. [6] 陈殿远,陈志宏,刘仕友,等.地震频率域信息在涠西南地区勘探中的应用[J].物探与化探,2013,37(3):467-472. [7] 刁瑞,李振春,韩文功,等.基于广义S变换的吸收衰减分析技术在油气识别中的应用[J].石油物探,2011,50(3):260-265. [8] 苑闻京.叠前反演和地震吸收技术在复杂天然气藏地震预测中的应用[J].地球物理学进展,2012,27(3):1107-1115. [9] 谢清惠,邓宏文,郑文波,等.扩展弹性阻抗反演在深海扇含气储层识别中的应用[J].天然气地球科学,2013,24(1):162-168. [10] 巴晶,晏信飞,陈志勇,等.非均质天然气藏的岩石物理模型及含气饱和度反演[J].地球物理学报,2013,56(5):1696-1706. [11] 李红梅.泊松比参数直接反演方法在储层油气检测中的应用[J].地球物理学进展,2013,28(6):3049-3055. [12] 李红梅.弹性参数直接反演技术在储层流体识别中的应用[J].物探与化探,2014,38(5):970-975. [13] 张固澜,贺振华,王熙明,等.地震波频散效应与反 Q 滤波相位补偿[J].地球物理学报,2014,57(5):1655-1663. [14] 李庆忠.含油气砂层的频率特征及振幅特征[J].石油地球物理勘探,1987,22(1):1-23. [15] Chanpman M,Liu E,Li X.The influence of abnormally high reservoir attenuation on the AVO signature[J].The Leading Edge,2005,24(11):1120-1125. [16] Chapman M,Liu E.The effect of abnormally high reservoir attenuation on AVO analysis[C]//Expanded Abstracts of 75 th SEG Meeting,2005:2668. [17] Goloshubin G M,Korneev V A.Seismic low-frequency effects from fluid-saturated reservoir[C]//Expanded Abstracts of 70 th SEG Meeting,2000:1671-1674. [18] Goloshubin G M,Daley T M,Korneev V A.Seismic low-frequency effects in gas reservoir monitoring VSP data[C]//Expanded Abstracts of 71 st SEG Meeting,2001:1693-1696. [19] Goloshubin G M,Korneev V A,Vingalov V M.Seismic low-frequency effects from oil-saturated reservoir zones[C]//Expanded Abstracts of 72 nd SEG Meeting,2002:1813-1816. [20] Goloshubin G M,Connie V A,Korneev V A,et al.Reservoir imaging using low frequency of seismic reflection[J].The Leading Edge,2006,25(5):527-531.
