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鄂尔多斯盆地南部延长组长8-长6油层组沉积相为曲流河三角洲-半深湖、深湖,重力流沉积发育。以前认为这些重力流沉积物是浊流沉积。本文通过对旬邑地区延长组岩心、测井资料的研究,认为研究区长8-长6油层组发育砂质碎屑流沉积。岩心中常见大段块状砂岩、面状碎屑组构、顶底突变接触、漂砾、底部剪切带及滑塌变形构造等,相应测井曲线特征以箱型为主。砂质碎屑流为风暴诱因,可见丰富的风暴沉积特征,如侵蚀构造、底模、浪成沙纹层理、波痕、生物逃逸迹等。研究区理想的风暴沉积单元由下向上可概括为:块状层理段(A);滞留沉积段(B);平行层理段(C);丘状交错层理或浪成沙纹层理段(D);泥页岩段(E)。根据岩心风暴沉积特征总结出风暴岩的3个垂向沉积序列组合。砂质碎屑流及风暴作用的研究对于研究区油气勘探及古地理、古气候研究具有重要意义。  相似文献
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致密砂岩目前已成为中国油气勘探开发的重点领域.本文通过野外剖面及岩心观察、测井资料和深水重力流沉积理论对就鄂尔多斯盆地陇东地区长7段重力流沉积特征进行了系统研究,结果表明该区发育砂质碎屑流沉积、浊流沉积及滑塌沉积3种成因类型的重力流沉积砂体.砂质碎屑流沉积由灰色、褐灰色细砂岩构成,厚度均在0.5m以上,多数大干1 m,块状层理发育,具有近源分布特征;浊流沉积由灰色、深灰色粉砂岩、泥质粉砂岩构成,单层厚数度从几厘米到十几厘米,具有完整或不完整的鲍马序列,呈远源分布特征;滑塌沉积在研究区发育较少.研究区长7段重力流沉积砂体横向连通性较差,纵向连通性较好,具有带状展布的特征,为沟道型(非扇型)重力流沉积体系.  相似文献
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Sandy debris flow deposits are present in Unit I during Miocene of Gas Field A in the Baiyun Depression of the South China Sea. The paucity of well data and the great variability of the sedimentary microfacies make it difficult to identify and predict the distribution patterns of the main gas reservoir, and have seriously hindered further exploration and development of the gas field. Therefore, making full use of the available seismic data is extremely important for predicting the spatial distribution of sedimentary microfacies when constructing three-dimensional reservoir models. A suitable reservoir modeling strategy or workflow controlled by sedimentary microfacies and seismic data has been developed. Five types of seismic attributes were selected to correlate with the sand percentage, and the root mean square (RMS) amplitude performed the best. The relation between the RMS amplitude and the sand percentage was used to construct a reservoir sand distribution map. Three types of main sedimentary microfacies were identified: debris channels, fan lobes, and natural levees. Using constraints from the sedimentary microfacies boundaries, a sedimentary microfacies model was constructed using the sequential indicator and assigned value simulation methods. Finally, reservoir models of physical properties for sandy debris flow deposits controlled by sedimentary microfacies and seismic inversion data were established. Property cutoff values were adopted because the sedimentary microfacies and the reservoir properties from well-logging interpretation are intrinsically different. Selection of appropriate reservoir property cutoffs is a key step in reservoir modeling when using simulation methods based on sedimentary microfacies control. When the abnormal data are truncated and the reservoir properties probability distribution fits a normal distribution, microfacies-controlled reservoir property models are more reliable than those obtained from the sequence Gauss simulation method. The cutoffs for effective porosity of the debris channel, fan lobe, and natural levee facies were 0.2, 0.09, and 0.12, respectively; the corresponding average effective porosities were 0.24, 0.13, and 0.15. The proposed modeling method makes full use of seismic attributes and seismic inversion data, and also makes the property data of single-well depositional microfacies more conformable to a normal distribution with geological significance. Thus, the method allows use of more reliable input data when we construct a model of a sandy debris flow.  相似文献
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