【作者】 马辉；

【导师】 李瑞；

【作者基本信息】 成都理工大学 ， 地球探测与信息技术， 2011， 硕士

【摘要】 大牛地气田构造上位于鄂尔多斯盆地伊陕斜坡东北部,区域上是一非常平缓的西倾大单斜,局部构造不发育,大牛地气田上古生界气藏就是在这种构造背景上发育的。大牛地DX井区上古生界储层属于典型的低孔低渗储层,储层非均质性严重,有效储层识别存在较大困难。受构造幅度,岩性和物性的限制,气水分异程度差,气层、气水同层、水层的测井响应特征差异不明显,给测井识别气水层带来了很大困难。为了解决以上问题,本论文充分利用所收集的各种测井数据,将测井与岩心观察、录井相结合,开展上古生界二叠系下石盒子组、山西组、石炭系太原组复杂岩性和测井响应特征的关系研究,采用模糊聚类分析方法,对上古生界二叠系下石盒子组、山西组、石炭系太原组复杂岩性进行识别。同时结合地质、录井、测试等多种信息,针对大牛地气田DX井区上古生界低孔、低渗储层特征建立储层参数计算方法。在储层识别基础上,充分利用已有测试成果,分析气层、气水同层、水层的测井响应特征及其影响因素,采用视地层水电阻率法、电阻率与声波交会法、深侧向电阻率与深感应电阻率组合法、核磁测井等多种方法,从不同角度反映不同物性储层和气、水、干层之间的差异。尤其是发挥核磁测井技术的优势,定量解释束缚水体积、可动流体体积,识别流体的性质,最终优选出适用于研究区储层流体性质判别的方法。在利用测井储层参数预测产能时,重点考虑储层有效厚度的贡献。分析单层测试结果和影响储层产能的因素如孔隙度、可动烃孔隙度、含气饱和度及有效厚度等的关系。分层系分别建立了孔隙型储层产能预测图版及模型,估算产能与实际产能具有较好相关性。通过本论文的研究提高了大牛地气田上古生界储层测井解释评价技术的能力,为大牛地气田上古生界勘探开发提供了有效的技术支持。更多还原

【Abstract】 The structure of Daniudi gas field is located in the north-east of Yishan slope of the Ordos basin, which part of structure is not growth. The target layers have grown in this background. The target layers are characterized by low porosity and low permeability reservoir, which heterogeneity is very serious. So it is difficult to identify available reservoir. The limit of the amplitude of structure, lithology and physical property results in the bad differentiation degree and the obscure logging responsed to the character of gas and water.In order to solve the above problems, this paper makes full use of various kinds of collected logging data to study the relationship between complicated lithology and logging responsed. Then using TFI identifies the complicated litholoy of reservoirs. This paper uses various kinds of collected logging data, combining geological, logging, test and other informations, to establish rock physical model and reservoir parameter evaluation model for the target layers of DX area of Daniudi gas filed.The complex gap structure of the DX area in the Daniudi gas filed causes the distribution of various fluids in formation and mud or mud filtrate invaded features diversity. It not only affects reservoir fluid properties, also affect the logging curves response. In the complex pore space structure of target reservoir distinguished fluid properties should make full use of test analysis results, analyze the logging response characteristics of gas water and influencing factors to pick out the right method discriminated different reservoir liquid from different angles of reservoir property and different reflects of gas, water and dry layer. Especially taking the advantage of NMR logging technology calculates bound water volume, moving fluid volume and identifies fluid.According to the main evaluation parameters, such as porosity, moving hydrocarbon porosity, containing gas saturation and effective thickness, which influent reservoir productivity and calculated by well logging, establish the experience formula to calculate the ability of production for the each layer.Through this paper research, it will improve the ability of logging interpretation assessment technical.更多还原