川东LHC地区长兴组生物礁预测研究

发布时间：2019-05-28 22:08

【摘要】：碳酸盐岩油气储量占全球油气资源量的50%以上,而绝大部分碳酸盐岩油气主要分布于生物礁中,生物礁油气藏是一种重要的岩性油气藏。我国四川盆地二叠系长兴组生物礁广泛发育,具有巨大的勘探潜力。川东地区二叠系长兴组生物礁较发育,规模差异较大,储层预测难度大,礁体形态刻画困难;储层和围岩波阻抗值相近,常规叠后波阻抗反演不能区分围岩与生物礁储层;储层横向上连续性较差且纵向厚度变化较大,流体识别时很难给定精确的时窗,导致生物礁流体识别精度较低。本论文针对以上难点,以川东LHC地区长兴组生物礁为研究对象进行储层预测和流体识别,在充分调研技术方法和研究成果的基础上,结合测井、钻井、地质、地震以及前人学者对川东地区长兴组生物礁的研究,制定了具有针对性的技术路线。主要研究内容如下:(1)详细分析和总结了生物礁储层的测井响应特征、地震响应特征、岩性特征和物性特征;(2)利用基于地震相古地貌分析技术和地震沉积学理论建立了LHC地区长兴组生物礁识别模式;(3)针对研究区内生物礁和围岩识别难度大的难点,通过实际测井和钻井资料对储层敏感参数优选,自然伽马参数对高度白云化生物礁储层和含泥质较高的泥灰岩等有较好的识别能力,结合波阻抗差异可精确识别生物礁储层;(4)通过频谱分析技术对储层段井旁道进行频谱分析,结合国内的双相介质理论为基础的Klinversion系统进行流体识别,降低了围岩对流体识别的影响,提高生物礁流体识别的精度;(5)分析了地震属性对生物礁的识别能力和流体识别能力,研究区均方根振幅属性(RMS Amplitude)和瞬时加速度IAcc(Inst.Acceleration)对生物礁流体有较好的识别效果;(6)为降低单一属性流体预测的多解性和误差,选取两种对油气敏感的地震属性进行属性比例融合,提高属性流体预测的精度;(7)以地震反演储层预测为基础,结合双相介质频谱分析技术及属性比例融合综合预测,优选研究区长兴组生物礁有利区。经过实际资料验证,应用以上方法能够刻画研究区长兴组生物礁礁体形态,有效地预测了研究区长兴组生物礁有利区的分布范围,为进一步生物礁油气勘探提供了有力的支撑。也同时为邻区二叠系长兴组生物礁研究提供了可靠的参考依据。
[Abstract]:Carbonate oil and gas reserves account for more than 50% of the global oil and gas resources, and the vast majority of carbonate oil and gas are mainly distributed in reefs. Reef oil and gas reservoirs are an important lithologic oil and gas reservoir. The reefs of Changxing formation of Permian in Sichuan Basin of China are widely developed and have great exploration potential. The reefs of Changxing formation of Permian in eastern Sichuan are more developed, the scale is different, the reservoir prediction is difficult, and the shape of reef is difficult to depict, the wave impedance value of reservoir and surrounding rock is similar, and the conventional post-stack wave impedance inversion can not distinguish the surrounding rock from reef reservoir. The lateral continuity of the reservoir is poor and the longitudinal thickness varies greatly, so it is difficult to give an accurate time window for fluid identification, which leads to the low accuracy of reef fluid identification. In view of the above difficulties, this paper takes Changxing formation reefs in LHC area of eastern Sichuan as the research object for reservoir prediction and fluid identification. On the basis of full investigation technical methods and research results, combined with logging, drilling, geology, The earthquake and the previous scholars have worked out the targeted technical route for the study of Changxing formation reefs in eastern Sichuan. The main research contents are as follows: (1) the logging response characteristics, seismic response characteristics, lithologic characteristics and physical properties of reef reservoirs are analyzed and summarized in detail. (2) based on the seismic paleogeomorphological analysis technology and seismic sedimentology theory, the reef identification model of Changxing formation in LHC area is established. (3) in view of the difficulty of identifying reefs and surrounding rocks in the study area, the sensitive parameters of reservoir are optimized by actual logging and drilling data. Natural gamma parameters have good recognition ability for highly dolomized reef reservoirs and marl with high muddy quality. Combined with wave impedance differences, reef reservoirs can be accurately identified. (4) the spectrum analysis of reservoir section by-pass is carried out by spectrum analysis technology, and the fluid identification is carried out combined with Klinversion system based on dual-phase medium theory in China, which reduces the influence of surrounding rock on fluid identification and improves the accuracy of reef fluid identification. (5) the identification ability and fluid recognition ability of seismic attributes to reefs are analyzed. The root mean square amplitude attributes (RMS Amplitude) and instantaneous acceleration IAcc (Inst.Acceleration) in the study area have a good effect on the identification of reef fluids. (6) in order to reduce the multiple solutions and errors of single attribute fluid prediction, two kinds of seismic attributes sensitive to oil and gas are selected for attribute proportional fusion to improve the accuracy of attribute fluid prediction. (7) based on seismic inversion reservoir prediction, combined with dual-phase medium spectrum analysis technology and attribute proportion fusion comprehensive prediction, the favorable area of Changxing formation reef is selected. The practical data show that the above method can be used to depict the reef form of Changxing formation in the study area, and effectively predict the distribution range of the favorable area of Changxing formation reef in the study area, which provides a powerful support for further reef oil and gas exploration. At the same time, it also provides a reliable reference for the study of reefs in the Permian Changxing formation.
【学位授予单位】：成都理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：P618.13

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