The application of multi-seismic hydrocarbon detection technology to gas identification in B oilfield
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摘要: B油气田处于开发初期,钻井少,目标区内含气储层边界认识不清,直接影响油田储量准确计算及后期开发井网部署和优化。为准确落实油田含气储层边界,利用分频能量衰减技术、AVO分析技术以及叠前弹性参数反演等多技术结合,并与已钻井相互印证,开展目标区含气储层地震响应特征分析,进而准确预测目标区含气储层边界。分析表明,受地震波衰减特性的影响,目标区含气储层具有低频能量增加、高频能量减弱的“低频共振、高频衰减特征;通过已钻井AVO正演分析可以判定目标区含气储层属于第Ⅲ类AVO异常,其地震正振幅随偏移距的增大而增强;岩石物理参数中,拉梅系数、泊松比、纵横波速度比为含气砂岩敏感参数,且泊松比区分含气砂岩的效果最好,可较好地反映含气储层平面分布。分频能量衰减、AVO分析及叠前弹性参数反演能较好地检测含气储层,多技术结合相互印证有助于提高含气储层边界预测精度,为目标区储量准确计算和开发井网部署优化提供支持。Abstract: The target field is in the early stage of development with few drilling wells.Unclear boundary of gas reservoir in the target area affects accurate calculation of oil field reserves and well pattern deployment for later development.To solve this problem,the authors analyzed the seismic response characteristics of gas-bearing reservoirs in the target area by spectral decomposition energy attenuation,AVO analysis and pre-stack elastic parameter inversion technology,and then predicted the boundary of gas-bearing reservoirs in the target area.The result shows that the gas-bearing reservoir in the target area is characterized by "low frequency resonant and high frequency attenuated".That means the increase of low frequency energy and the decrease of high frequency energy due to the attenuation of seismic wave.Through AVO forward analysis of drilled well,it can be determined that the gas-bearing reservoir in the target area belongs to class III AVO anomaly,and its seismic positive amplitude increases with the increase of offset distance.Among the petrophysical parameters,Lame's coefficient,Poisson's ratio and P-S wave velocity ratio are sensitive to gas-bearing sandstone.Besides,Poisson's ratio is the best one for distinguishing gas-bearing sandstone and can reveal the gas-bearing reservoir and predict its plane distribution.Applying spectral decomposition energy attenuation,AVO analysis and pre-stack elastic parameter inversion technology,the authors detected gas-bearing reservoirs. With the application of multi-technology,the prediction precision of gas-bearing reservoir boundary can be improved and this would provide support for accurate calculation of reserves and development of well pattern deployment in the target area.
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[1] 张玉华. 基于岩石物理的AVO正演模拟研究[M]. 北京:中国石油大学, 2007.
[2] Zhang Y H. AVO forward modeling based on rock physics[M]. Beijing:China University of Petroleum, 2007.
[3] Rutherford S R, Willians R H. Amplitude versus offset variations in gas sands[J]. Geophysics, 1989,54(4):680-688.
[4] 骆璞, 王显, 姜传芳. AVO属性技术在含气砂岩储层预测中的应用[J]. 复杂油气藏, 2014,7(4):32-34.
[5] Luo P, Wang X, Jiang C F. Application of AVO attribute technology in the prediction of gas-bearing sandstone[J]. Complex Hydrocarbon Reservoirs, 2014,7(4):32-34.
[6] 于常青, 邵建中, 王香文, 等. 鄂尔多斯盆地定北地区致密砂岩储层AVO研究及应用[J]. 地球物理学进展, 2010,25(4):1273-1279.
[7] Yu C Q, Shao J Z, Wang X W, et al. The application of AVO technique to compact sandstone reservoir in the Dingbei area of Ordos Basin[J]. Progress in Geophysics, 2010,25(4):1273-1279.
[8] 刘东琴, 李晓恒, 汪关妹, 等. AVO技术在苏75区块含气性检测中的应用[J]. 石油地球物理勘探, 2013,48(s1):109-114.
[9] Liu D Q, Li X H, Wang G M, et al. Hydrocarbon detection with AVO in Block Su-75[J]. OGP, 2013,48(s1):109-114.
[10] 刘洪林, 朱秋影. 基于叠前深度偏移的AVO反演及解释[J]. 地球物理学进展, 2007,22(3):905-912.
[11] Liu H L, Zhu Q Y. AVO inversion and interpretation based on prestack depth migration[J]. Progress in Geophysics, 2007,22(3):905-912.
[12] 明君, 王辉, 林桂康. 扩展AVO技术在渤海油田的应用[J]. 地球物理学进展, 2015,30(6):2736-2740.
[13] Ming J, Wang H, Lin G K. Application of extended AVO analysis technology in Bohai Oilfield[J]. Progress in Geophysics, 2015,30(6):2736-2740.
[14] 鲜强, 蔡志东, 王祖君, 等. AVO分析技术在塔中碳酸盐岩油气检测中的应用[J]. 物探化探计算技术, 2017,39(2):260-265.
[15] Xian Q, Cai Z D, Wang Z J, et al. Application of AVO in hydrocarbon detection at Tazhong area[J]. Computing Techniques for Geophysical and Geochemical Exploration, 2017,39(2):260-265.
[16] 张卫卫, 何敏, 朱明, 等. 应用AVO技术识别深水区非亮点气藏[J]. 石油地球物理勘探, 2015,50(1):123-128.
[17] Zhang W W, He M, Zhu M, et al. Identification of Non-bright-spot gas reservoir with AVO in deep water area[J]. OGP, 2015,50(1):123-128.
[18] 李维新. 岩石物理弹性参数规律研究[J]. 地球物理学进展, 2007,22(5):1380-1385.
[19] Li W X. The study on the relationships of elastic properties of rock physics[J]. Progress in Geophysics, 2007,22(5):1380-1385.
[20] 秦童, 高伟, 刘恭利, 等. 振幅衰减梯度属性在油气检测中的应用[J]. 东北石油大学学报, 2017,41(6):66-73.
[21] Qin T, Gao W, Liu G L, et al. Application of amplitude attenuation gradient attribute to hydrocarbon detection[J]. Journal of Northeast Petroleum University, 2017,41(6):66-73.
[22] 张鹏志, 陈华靖, 闫涛, 等. 地震低频异常属性在渤海Q油田油气检测中的应用研究[J]. 物探化探计算技术, 2017,39(6):816-824.
[23] Zhang P Z, Chen H J, Yan T, et al. Application of low frequency abnormal seismic attribute analysis for hydrocarbon identification in Bohai Q oilfield[J]. Computing Techniques for Geophysical and Geochemical Exploration, 2017,39(6):816-824.
[24] 郑江峰, 彭刚, 孙佳林, 等. 基于90°相移的振幅和频率属性融合法油气检测[J]. 石油物探, 2019,58(1):130-138.
[25] Zheng J F, Peng G, Sun J L, et al. Fusing amplitude and frequency attributes for hydrocarbon detection using 90°phase shift data[J]. Geophysical Prospecting for Petroleum, 2019,58(1):130-138.
[26] 施行觉, 徐果明, 靳平, 等. 岩石的含水饱和度对纵横波速度及衰减影响的试验研究[J]. 地球物理学报, 1995,38(s1):281-287.
[27] Shi X J, Xu G M, Jin P, et al. The laboratory study of influence of water saturation on rock's velocity and attenuation[J]. Chinese Journal of Geophysics, 1995,38(s1):281-287.
[28] Ebrom D. The low-frequency gas shadow on seismic sections[J]. The Leading Edge, 2004,23(8):772-773.
[29] 王波, 夏同星, 明君, 等. 油气敏感频率段极值能量和因子及其在渤海油田油气检测中的应用[J]. 物探与化探, 2018,42(5):1026-1032.
[30] Wang B, Xia T X, Ming J, et al. Peak energy sum in hydrocarbon sensitive frequency range and its application to the Bohai Oilfield[J]. Geophysical and Geochemical Exploration, 2018,42(5):1026-1032.
[31] 张军林, 田世澄, 郑多明, 等. 碳酸盐岩储层流体综合预测[J]. 石油地球物理勘探, 2013,48(s1):89-94.
[32] Zhang J L, Tian S C, Zheng D M, et al. Intergrated fluid prediction for carbonate reservoir[J]. OGP, 2013,48(s1):89-94.
[33] 张秀丽, 张桂明, 杨树合, 等. 地震油气检测技术在大港油田浅层气识别中的应用[J]. 天然气地球科学, 2013,24(4):815-820.
[34] Zhang X L, Zhang G M, Yang S H, et al. Seismic hydrocarbon detection technique and its application in indentification of shallow gas in Dagang Oilfield[J]. Natural Gas Geoscience, 2013,24(4):815-820.
[35] 李宏伟, 王九拴, 邵林海, 等. 油气检测技术在三湖浅层生物气勘探中的应用[J]. 石油地球物理勘探, 2013,48(5):770-775.
[36] Li H W, Wang J S, Shao L H, et al. Hydrocarbon detection in biogas exploration in San-hu shallow[J]. OGP, 2013,48(5):770-775.
[37] 赵玉华, 李坤白, 张杰, 等. 鄂尔多斯盆地中部下古生界白云岩含气性地震检测[J]. 地质科技情报, 2015,34(3):191-197.
[38] Zhao Y H, Li K B, Zhang J, et al. Seismic detection for gas-bearing lower Palaeozoic dolomite,the middle of the Ordos Basin[J]. Geological Science and Technology Information, 2015,34(3):191-197.
[39] 洪忠, 刘化清, 张猛刚. 辫状河含气砂岩储层预测[J]. 西南石油大学学报:自然科学版, 2014,36(6):39-46.
[40] Hong Z, Liu H Q, Zhang M G. Gas-bearing reservoir prediction of Braided River[J]. Journal of Southwest Petroleum University:Science & Technology Edition, 2014,36(6):39-46.
[41] Biot M A. Theory of propagation of elastic waves in a fluid-saturated porous solid: Low-frequency range[J]. Acoust. Soc. Amer., 1956,28(2):168-178.
[42] 汪佳蓓, 黄捍东, 郭飞. 基于双相介质的地震波衰减特性油气检测方法[J]. 东北石油大学学报, 2016,40(2):19-26.
[43] Wang J B, Huang H D, Guo F. Hydrocarbon detection based on the theory of seismic wave attenuation in two-phase medium[J]. Journal of Northeast Petroleum University, 2016,40(2):19-26.
[44] 张波, 王真理, 周水生, 等. 谱分解在含气检测中的应用[J]. 地球物理学进展, 2010,25(4):1360-1364.
[45] Zhang B, Wang Z L, Zhou S S, et al. Application of spectral decomposition to gas detection[J]. Progress in Geophysics, 2010,25(4):1360-1364.
[46] 张会星, 何兵寿, 姜效典, 等. 利用地震波在双相介质中的衰减特性检测油气[J]. 石油地球物理勘探, 2010,45(3):343-349.
[47] Zhang H X, He B S, Jiang X D, et al. Utilizing attenuation characteristic of seismic wave in dual-phase medium to detect oil and gas[J]. OGP, 2010,45(3):343-349.
[48] 郭华军, 黄革萍, 徐洋. 油气检测技术在莫索地区的应用[J]. 物探与化探, 2013,37(4):264-268.
[49] Guo H J, Huang G P, Xu Y. The application of hydrocarbon detection technology to Mosuo-Wan firld[J]. Geophsical and Geochemical Exploration, 2013,37(4):264-268.
[50] Aki K I, Richards P G. Quantitative seismology[M]. University Science Books, 1980.
[51] Shuey R T. A simplification of the Zoeppritz equation[J]. Geophysics, 1980,50(4):609-614.
[52] 解吉高, 刘志斌, 张益明, 等. 利用泊松阻抗进行油气检测[J]. 石油地球物理勘探, 2013,48(2):273-278.
[53] Xie J G, Liu Z B, Zhang Y M, et al. Hydrocarbon detection by Poisson impedance[J]. OGP, 2013,48(2):273-278.
[54] 李尧, 李英, 谭辉煌. 地震岩石物理在渤海PL油田流体检测中的应用[J]. 地球物理学进展, 2018,33(1):372-378.
[55] Li Y, Li Y, Tan H H. Application of seismic rock physics for fluid detection in Bohai PL oilfield[J]. Progress in Geophysics, 2018,33(1):372-378.
[56] 姜仁, 曾庆才, 黄家强, 等. 岩石物理分析在叠前储层预测中的应用[J]. 石油地球物理勘探, 2014,49(2):322-328.
[57] Jiang R, Zeng Q C, Huang J Q, et al. Application of rock physics analysis in pre-stack seismic reservoir prediction[J]. OGP, 2014,49(2):322-328.
[58] 喻岳钰, 杨长春, 王彦飞, 等. 叠前弹性阻抗反演及其在含气储层预测中的应用[J]. 地球物理学进展, 2009,24(2):574-580.
[59] Yu Y Y, Yang C C, Wang Y F, et al. Application of pre-stack seismic elastic impedance inversion to gas reservoir[J]. Progress in Geophysics, 2009,24(2):574-580.
[60] 贾跃玮, 王丹, 魏水建, 等. 金山气田致密砂岩储层含气性叠前地震预测方法研究[J]. 物探化探计算技术, 2017,39(5):626-631.
[61] Jia Y W, Wang D, Wei S J, et al. Study of pre-stack seismic prediction on tight-sand reservoir gas-bearing of Jinshan gas field[J]. Computing Techniques for Geophysical and Geochemical Explortion, 2017,39(5):626-631.
[62] 姜雨, 涂齐催. 利用岩石物理分析及叠前反演技术解决致密砂岩气储层预测问题——以西湖凹陷A区块为例[J]. 海洋地质前沿, 2015,31(11):36-42.
[63] Jiang Y, Tu Q C. The reservoir prediction of tight gas sandstone by using petrophysical analysis and pre-stack inversion technology[J]. Marine Geology Frontiers, 2015,31(11):36-42.
[64] 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.
[65] Li H M. Application of poisson's ratio direct inversion to reservoir hydrocarbon detection[J]. Progress in Geophysics, 2013,28(6):3049-3055.
[66] 印兴耀, 曹丹平, 王保丽, 等. 基于叠前地震反演的流体识别方法研究进展[J]. 石油地球物理勘探, 2014,49(1):22-34.
[67] Yin X Y, Cao D P, Wang B L, et al. Research progress of fluid discrimination with pre-stack seismic inversion[J]. OGP, 2014,49(1):22-34.
[68] 杜巍, 马庆林, 张培园, 等. 叠后反演和油气检测技术在福山凹陷岩性油气藏预测中的应用[J]. 石油地球物理勘探, 2017,52(s1):110-116.
[69] Du W, Ma Q L, Zhang P Y, et al. Poststack seismic inversion and hydrocarbon detection in lithologic reservoir prediction in Fushan Sag[J]. OGP, 2017,52(s1):110-116.
[70] 苏建龙, 屈大鹏, 陈超, 等. 叠前地震反演方法对比分析——焦石坝页岩气藏勘探实例[J]. 石油地球物理勘探, 2016,51(3):581-588.
[71] Su J L, Qu D P, Chen C, et al. Application of pre-stack inversion technique for shale gas in Jiaoshiba gas field[J]. OGP, 2016,51(3):581-588.
[72] 王开燕, 林雨佳, 黄明威, 等. 基于叠前弹性反演的含气储层预测技术[J]. 地球物理学进展, 2016,31(5):2150-2159.
[73] Wang K Y, Lin Y J, Huang M W, et al. Gas-bearing prediction of reservoirs based on pre-stack elastic inversion[J]. Progress in Geophysics, 2016,31(5):2150-2159.
[74] 杨士明, 周丽梅, 潘晓慧. 叠前弹性参数反演技术在识别白云岩储层中的应用[J]. 石油天然气学报, 2012,34(5):69-73.
[75] Yang S M, Zhou L M, Pan X H. Application of pre-stack elastic parameters inversion technology in identifying the Dolomite reservoirs[J]. Journal of Oil and Gas Technology, 2012,34(5):69-73.
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