Turbidite reservoir identification technology based on prestack multi-parameter sensitivity factor fusion
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摘要: 浊积岩油藏一直是济阳坳陷重要的勘探类型,经过多年勘探开发,目前面临的是“异质同像”型浊积岩,这类浊积岩的砂岩储层与非储层具有相近的速度、密度以及相似的地震波形特征,常规地震属性和叠后波阻抗识别难度大。由此建立了基于叠前多参数敏感因子融合的储层描述方法。该方法主要包含3个部分:①分析了影响横波估算精度的主要因素,建立了基于修正Xu-White模型的多矿物组分横波预测技术,提高了横波预测精度,为弹性参数的精准预测奠定基础;②提出了基于反射系数比的敏感因子定量评价方法,得到Murho、Lambrho和POIS这3个敏感弹性参数,应用3个弹性参数构建了敏感因子融合指数F,降低单参数的多解性,准确识别岩性;③开展叠前反演技术,反演敏感弹性参数,应用基于RGB三元色信息融合模型对3个敏感参数进行砂岩信息融合,实现岩性的精细预测。该技术在济阳坳陷坨71井区深水浊积岩油藏勘探中进行了应用,精细预测了研究区深水浊积扇体储层展布,预测结果与实钻井吻合度达到85%,提高了储层识别及描述精度。应用研究成果在该区描述砂体有利面积 9.5 km2,部署探井和开发井10余口,其中5口井完钻投产后均获工业油流,预计新建产能2×104 t。Abstract: Turbidite reservoirs have always been an important exploration type in the Jiyang depression.After years of exploration and development,the turbidites are mainly of the heterogeneous isomorphic type.The sandstone reservoirs of this type of turbidites have similar velocity,density,and seismic waveforms to those of non-reservoirs and thus are difficult to identify using conventional seismic attributes and poststack impedance.Therefore,a reservoir description method based on prestack multi-parameter sensitivity factor fusion was established.This method mainly included three steps.Firstly,major factors affecting the accuracy of shear wave estimation were analyzed,and then the multi-mineral-component shear wave prediction technology based on a modified xu-white model was established to improve the accuracy of shear wave prediction and lay a foundation for the accurate prediction of elastic parameters. Secondly,a quantitative evaluation method of sensitivity factors was proposed based on reflection coefficient ratios to obtain three sensitive elastic parameters,namely Murho,Lambrho,and POIS.The fusion index F of sensitivity factors was constructed by using the three elastic parameters.The purpose is to reduce the strong multiplicity of solutions of a single parameter and accurately identify rock properties.Thirdly,the prestack inversion technology was used for the inversion of sensitive elastic parameters.The three sensitivity parameters of sandstone information were fused using the fusion model of the RGB primary color information to realize a fine-scale prediction of lithology.This method was applied to the exploration of a deep-water turbidite reservoir around well-Tuo-71 in the Jiyang depression.The distribution of deep-water turbidite fan reservoirs in the study area was accurately predicted.The coincidence degree between the prediction results and the actual drilling reached 85%,indicating the improved accuracy of reservoir identification and description.The results of this study have contributed to an interpreted favorable sand body area of 9.5 km2 and the deployment of more than 10 exploration and development wells.Among these wells,five have yielded industrial oil flow after competition and being put into operation,and their new production capacity is expected to be 2×104 t。
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[1] 孙淑艳, 朱应科, 沈正春. 东营凹陷东部浊积岩储层地震识别技术及描述思路[J]. 油气地球物理, 2015, 3(2):1-6.
[2] Sun S Y, Zhu Y K, Sheng Z C. Seismic identification technology and description ideas of the turbid rock reservoir in dongying depression[J]. Petroleum Geophysics, 2015, 3(2):1-6.
[3] 张营革. 能量半衰时属性在浊积岩储层预测中的应用研究[J]. 石油物探, 2013, 52(6):662-668.
[4] Zhang Y G. The application of energy half-time attribute to turbidite reservoir prediction[J]. Geophysical Prospecting for Petroleum, 2013, 52(6):662-668.
[5] 董文波, 刘恩君, 杨洪, 等. 地震属性在克拉玛依油田滑塌浊积岩圈闭勘探中的应用[J]. 工程地球物理学报, 2011, 8(1):87-90.
[6] Dong W B, Liu E J, Yang H, et al. Application of seismic attribute technology to the fluxoturbidite reservoir exploration of Kara-may oilfield[J]. Chinese Journal of Engineering Geophysics, 2011, 8(1):87-90.
[7] 于正军, 董冬冬, 余红, 等. 浊积岩分序级描述技术及其在东营凹陷油气勘探中的应用[J]. 地球物理学进展, 2012, 27(3):1086-1093.
[8] Yu Z J, Dong D D, Yu H, et al. The technology of turbidite different-level sequence description and its application to the oil exploration in the Dongying Sag[J]. Progress in Geophysics, 2012, 27(3):1086-1093.
[9] 孔省吾, 张云银, 沈正春, 等. 波形指示反演在灰质发育区薄互层浊积岩预测中的应用——以牛庄洼陷沙三中亚段为例[J]. 物探与化探, 2020, 44(3):665-671.
[10] Kong X W, Zhang Y Y, Sheng Z C, et al. The application of waveform inversion Prediction of thin turbidite reservoir to calcareous depositional area:A case study of E3s32 in Niuzhuang sag[J]. Geophysical and Geochemical Exploration, 2020, 44(3):665-671.
[11] 王慧勇, 陈世悦, 张云银, 等. 东营凹陷浊积岩优质储层预测技术[J]. 石油地球物理勘探, 2014, 49(4):776-783.
[12] Wang H Y, Chen S Y, Zhang Y Y, et al. Turibidite high-quality reservoir prediction in Dongying depression[J]. OGP, 2014, 49(4):776-783.
[13] 陈昌. 兴隆台构造带沙河街组三段浊积岩优质储层叠前地震预测[J]. 大庆石油地质与开发, 2017, 36(1):144-149.
[14] Chen C. Pre-stack seismic prediction of the high-quality turbidite reservoir in E3s3 of Xinglongtai structural belt[J]. Petroleum Geology and Oilfield Development in Daqing, 2017, 36(1):144-149.
[15] 周游, 高刚, 桂志先, 等. 灰质发育背景下识别浊积岩优质储层的技术研究——以东营凹陷董集洼陷为例[J]. 物探与化探, 2017, 41(5):899-906.
[16] Zhou Y, Gao G, Gui Z X, et al. Study on the identification of turbidite high-quality reservoirs under gray background: A case study in dongji sag of Dongying depression[J]. Geophysical and Geochemical Exploration, 2017, 41(5):899-906.
[17] 于正军. 灰质背景下浊积岩储层地震响应特征及识别方法——以东营凹陷董集洼陷为例[J]. 油气地质与采收率, 2014, 21(2):95-97.
[18] Yu Z J. Seismic response characteristics and recognition method of turbidite under carbonate depositional environment: A case in Dongji sag of Dongying sag[J]. Petroleum Geology and Recovery Efficiency, 2014, 21(2):95-97.
[19] 商伟. 灰质地层发育区浊积岩的地震识别技术研究及应用——以dj洼陷为例[J]. 当代石油石化, 2017, 25(4):25-30.
[20] Shang W. Research and application of seismic identification technology for Turbidite in Ash Formation development area:Using dj depression as an example[J]. Petroleum and Petrochemical Today, 2017, 25(4):25-30.
[21] 印兴耀, 张世鑫, 张翻昌, 等. 利用基于Russell近似的弹性波阻抗反演进行储层描述和流体识别[J]. 石油地球物理勘探, 2010, 45(3):373-380.
[22] Yin X Y, Zhang S X, Zhang F C, et al. Utilizing russell approximation based elastic wave impedance inversion to conduct reservoir description and fluid identification[J]. OGP, 2010, 45(3):373-380.
[23] 张建芝, 李谋杰, 张云银, 等. 灰质背景下浊积岩储层地震响应特征及识别方法[J]. 油气地质与采收率, 2019, 26(6):70-79.
[24] Zhang J Z, Li M J, Zhang Y Y, et al. Seismic response characteristics and identification methods of turbidite reservoir in limestone background:A case study of well Tuo71 area in Dongying sag[J]. Petroleum Geology and Recovery Efficiency, 2019, 26(6):70-79.
[25] 沈禄银, 潘仁芳, 谢冰, 等. 多信息融合的页岩油储层自动分层技术[J]. 中国石油勘探, 2016, 21(5):110-116.
[26] Shen L Y, Pan R F, Xie B, et al. Automatic layering of shale oil reservoir with multiple information[J]. China Petroleum Exploration, 2016, 21(5):110-116.
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