川中地区HX构造地震储层预测方法研究

发布时间：2018-05-05 18:48

本文选题：井震结合 + 孔隙度反演　；参考：《成都理工大学》2015年硕士论文

【摘要】：HX气田经过多轮的勘探工作,纵向上由浅至深发现了侏罗系沙溪庙组、三叠系雷口坡组、嘉陵江组等多个含油气层系。自1978年8月B51井在须四段测试获得日产天然气0.433万方,有良好的油气显示,从B51井开始发现了HX气田须四段气层,拉开了对须四段气藏勘探研究的序幕。为进一步查清HX构造须四段的储层平面分布,对HX构造结合现有的钻、测井资料及下古生界的研究成果作层位标定和进行储层地震预测,从而得到该地区须四段的构造成果。首先,对HX构造现有的测井资料、地质成果以及地震数据等资料进行综合分析评价,对该区的三维地震资料进行精细的对比解释,并对测井资料提供的储层段响应特征进行合成记录精细标定,将合成地震记录与井旁地震道进行匹配,从而建立HX气田须四段储层的地球物理响应特征。然后,对须四段储层段的测井资料进行分析解释,深入分析油藏岩性、物性、电性、含油性特征及储层四性间的相互关系,充分了解HX气田须四段储层段的测井响应特征模式。其次,通过井震结合的方法精细分析B123、B126、B127等井的地质、测井和地震响应特征,并通过自然伽马反演和速度反演的方法,得到须四段储层预测厚度的分布情况；通过对属性分析和孔隙度反演处理结果的精细分析,预测须四段有效储层分布和含油气分布。最后,在HX气田利用基于弥散、粘滞型波动方程的油气检测、Spectra地震频谱天然气检测、基于双相介质Boit理论的含油气丰度检测和PANGEA公司的油气地质综合预测系统(Multi-D InterpretationTM简称MDI)进行油气检测研究,完成了须四段油气富集程度预测图和多属性预测油气强度图。研究表明,油气储集能力可以通过储层品质、油气存储空间和油气富集程度三个评价指标得以体现,三个指标的值越大则表明油气储集的能力越强；油气散失程度可以从油气渗透能力值的大小得以体现,其值越小则该区的油气散失程度越小,油气的保存能力更强,为该区的油气检测做了探索性研究。
[Abstract]:After many rounds of exploration work in HX gas field, many oil-bearing gas formations, such as Shaximiao formation of Jurassic system, Lekoupo formation of Triassic system and Jialingjiang formation, have been discovered from shallow to deep longitudinally. Since August 1978, when well B51 was tested in the fourth member of Xuzhou formation to obtain 0.433 square gas per day, there is a good oil and gas display. From well B51, the gas formation of the fourth member of the HX gas field has been discovered, and the prelude to the exploration and study of the gas reservoir of the fourth member of the formation has been opened. In order to further ascertain the reservoir plane distribution of the fourth member of the HX structure, the formation calibration and seismic prediction of the reservoir are made for the HX structure combined with the existing drilling, logging data and the research results of the lower Paleozoic, and the structural results of the four member must be obtained in this area. First of all, the existing logging data, geological results and seismic data of HX structure are comprehensively analyzed and evaluated, and the 3D seismic data in this area are carefully compared and interpreted. The response characteristics of reservoir section provided by logging data are calibrated by synthetic records, and the synthetic seismic records are matched with the seismic traces around the wells, thus the geophysical response characteristics of the reservoir in the fourth member of the HX gas field are established. Then, the logging data of the fourth member of Xuzhou formation are analyzed and interpreted, and the relationship between lithology, physical property, electrical property, oil-bearing property and the four properties of the reservoir is analyzed in depth, and the logging response model of the fourth member of the HX gas field is fully understood. Secondly, the geological, logging and seismic response characteristics of well B123, B126B127 and so on are analyzed in detail by combining well and earthquake, and the distribution of the predicted thickness of reservoir in the fourth member of Xuzhou formation is obtained by natural gamma inversion and velocity inversion. The effective reservoir distribution and oil and gas distribution of the four segments are predicted by analyzing the attribute analysis and the result of porosity inversion processing. Finally, in HX gas field, oil and gas detection based on dispersive, viscous wave equation is used to detect natural gas in Spectra seismic spectrum. Oil and gas abundance detection based on Boit theory of dual phase medium and multi-D InterpretationTM (Multi-D InterpretationTM), a comprehensive oil and gas geological prediction system of PANGEA Company, are studied. The hydrocarbon enrichment degree prediction map and multi-attribute prediction intensity map of Xuzhou four member oil and gas are completed. The results show that the oil and gas reservoir capacity can be reflected by the reservoir quality, the storage space and the degree of oil and gas enrichment. The larger the value of the three indexes is, the stronger the oil and gas accumulation capacity is. The degree of oil and gas loss can be reflected by the value of oil and gas permeability. The smaller the value, the smaller the degree of oil and gas loss and the stronger the ability of oil and gas preservation.
【学位授予单位】：成都理工大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：P618.13;P631.4

【共引文献】