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松辽盆地坡折带研究及岩性油气藏预测
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摘要
松辽盆地是中国东部中新生代具有断坳双重结构的大型复合型沉积盆地,目前,以泉头组、青山口组、姚家组为主的坳陷期含油层系的勘探逐步由“构造油气藏的勘探”转向“岩性油气藏的勘探”为重点。由于岩性地层油气藏具有多样性、复杂性和隐蔽性特点,因此如何预测岩性油气藏分布规律、研究岩性油气藏形成的控制因素对于松辽盆地坳陷期开展岩性油气藏勘探具有重要的指导意义。
    通过松辽盆地坳陷期构造特征、古地理特征及沉积体系分布特征、论述了松辽盆地坳陷期坡折带-“挠曲坡折带”的成因机制和分布特征,论述了挠曲坡折带对高频层序构型、挠曲坡折带对沉积相带分异、砂体类型分布特征的控制,论述了挠曲坡折带对岩性油气藏类型分布、岩性油气藏分布规律和分布规模的控制。
    论述了松辽盆地坳陷期葡萄花油层“浅水湖泊三角洲”沉积的形成条件,论述了浅水湖泊三角洲沉积相带的分布特征,总结了各沉积相带不同的沉积微相类型,论述了高频层序序约束下的沉积相和沉积环境的演变特征,最后总结了葡萄花油层浅水湖泊三角洲的沉积模式及对岩性地层油气藏分布规律的控制。
    应用波阻抗反演和测井多参数信息反演、地震属性提取及优化、地震属性透视技术、地震波形分类、三维可视化、相干体、频谱分解技术等,在坳陷湖盆“坡折带”和“浅水三角洲”形成岩性油气藏的地质背景下,根据不同储层类型的特点(厚层高孔高渗砂体和薄互层低孔低渗砂体)采用不同的地球物理预测技术,有效地开展岩性圈闭识别和岩性油气藏预测取得卓有成效的预测效果。
    通过对松辽盆地坳陷期挠曲坡折带和浅水湖泊三角洲对岩性油气藏分布规律的控制作用研究,结合地球物理预测方法,对松辽盆地挠曲坡折带发育区和葡萄花油层浅水湖泊三角洲前缘相带,预测了岩性油气藏形成的有利区带、指出了岩性油气藏勘探的目标。
Songliao basin is largely composite Meso-cenozoic petroleum basin with fault anddepression architecture in east china. Recently, The exploration of Quantouzu,Qingshankou and yaojia formation gradually is charging from structure reservior tolithological reservoir. Because of multiplicity, complexity and subtle, Witch how toforecast lithological reservoir is difficulty. The highlight of this paper is carrying outthat the research of genesis and characteristic of slope break, of sedimentary modeland characteristic of shallow lacustrine. Accoding to the guide of sequencestratagrapgy theory , this paper systematically research the slope break and shallowlacustrine delta of depression controlling the distribution of lithological reservoir,using of approaches of high resolution sequence strata correlation, wave impedanceinversion, multiple logging parameter inversion, seismic property extracting andoptimizing, 3dimention visualization, seismic perspectivity and hydrocarbon detect,and identified lithological traps and forecasted lithological reservoir. Forecastingeffect was successful.
    According to the characteristics of structure, palaeography and depositionalsystem, in depression of Songliao basin, this paper talked about the flexure breakslope controlling the oil & gas distribution. The main research content included in thegenesis and the characteristics of flexure break slope, included in the flexure breakslope controlling the architecture of high resolution sequence strata, controlling thedifferentiation of sedimentation facies , controlling the distribution of sandstone styles,controlling the distribution of lithological reservoir, during depression of Songliaobasin.
    This paper talked about the genetic condition of shallow lacustrine delta ofPutaohua formation, talked about the sedimentary facies belt distribution of shallowlacustrine delta, generalized the distribution of sedimentary micro-facies styles andevolution characteristics of sedimentary environment during the depression stage ofSongliao basin. In the end, this paper generalized the sedimentary model of theshallow water lacustrine delta of Putaohua formation and distribution of litholgicalreservoir.
    This paper used new technique and new approaches of physics, included in thehigh resolution seismic data process approaches, high seismic amplitude, high realimagery, included in seismic wave impedance inversion and logging parameterinversion, included in the extracting and optimizing of seismic property, fluoroscopytechnique of seismic property, classification of seismic wave pattern, visualization ofthree dimention seismic data, cohere seismic data body, disintegration of seismicfrequency spectrum. According to different genetic condition of lithological reservoirand different styles reservoir characteristics, this paper carried out the identification oflithological traps and forecast the lithological reservoirs using the different physicalforecast techniques.
    Through research of flexure slope break and shallow lacustrine controlling thedistribution of lithological reservoir, integrating of geophysical forecasting approach,this paper forecasted the beneficial block and pointed out the exploration target of the
    flexure slope break and fore-delta of shallow lacustrine, in the depression of Songliaobasin.
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