导　　师： 申辉林

学科专业： 081802

授予学位： 硕士

作　　者： ;

机构地区： 中国石油大学华东

摘　　要： 随着红台气田勘探开发程度的不断深入，难度逐渐增大，红台气田地质特征的研究、储层物性下限的确立、油气水层的测井识别以及储量估算等工作亟待解决。本文主要通过对红台地区气层研究，形成了一套利用测井方法识别气层及储量估算的体系，为红台气田后期开发提供支持。 本文首先对红台地区地质概况进行了研究，明确了工区的地层特征和沉积特征，然后进行了“四性”关系研究并进行了综合分析，对工区的岩性、物性、电性和含油性有了深入的了解，在“四性”关系研究基础上，建立了工区储层定量参数解释模型，主要建立了粒度中值、泥质含量、孔隙度、渗透率、含水饱和度及束缚水饱和度模型，为油气水层的测井识别提供了理论依据。 在气层测井响应特征分析的基础上，利用排驱压力拐点法、孔渗交会图法和甩尾法综合确定了有效储层物性下限，并确定了深侧向电阻率下限、声波时差下限和密度上限。利用多种方法综合识别油气水层，主要包含交会图图版法、三孔隙度识别法、视流体识别指标法和等效弹性模量差比值法，识别效果良好，并在以上基础上确定了红台地区测井解释标准，建立了油气水层的测井响应标准。 利用多参数综合分析法预测产能，先提取与产能相关性较好的参数，主要包含测井曲线和气测曲线，然后利用多元回归得出产能预测模型，利用概率神经网络对产能进行了分级预测，最后根据工区地质情况，确定了适用于工区的测井系列。 实际应用效果证明，本文研究的气层识别及产能预测方法效果很好，对红台地区气层测井评价和产能预测具有重要的参考价值，值得在生产中推广。 With the further exploration and development of Hongtai gas field, the difficulty of exploration anddevelopment increases. It’s urgent to solve some problems, such as the research on geologic characteristics,the determination of petro physical lower limit value for the effective reservoir, logging identification ofdifferent kinds of fluid and reserve estimation. In this paper, a system applying logging methods to identifygas reservoir and estimate reserve is formed in order to provide support for the later development of gasfield. In this paper, we firstly study the geology of Hongtai and make sure of stratigraphic and sedimentarycharacteristics of this area, then we study and analyze4-property relationship of this area. Based on theresearch of4-property relationship, several quantitative interpretation models of sandstone reservoir areestablished, such as the median grain diameter, the shale content, porosity, permeability, water saturationand bound water saturation model. These models provide theoretical basis for logging identification offluid. Based on the study on logging response characteristics of gas, the displacement pressure inflectionpoint method, porosity-permeability crossplot method and tail flick method are applied to determine petrophysical lower limit value for the effective reservoir. The lower limit value of deep lateral resistivity,acoustic travel time and the upper limit value of density are also determined. Several methods to identifydifferent kinds of fluid are applied in this paper, including cross plot chart method, three-porosityidentification method, fluid identification index method and equivalent elastic modulus difference andradio method. Based on the above research, the logging explanation standard of Hongtai area is determinedin this paper. Multi-parameter comprehensive analysis method is applied in this paper in order to forecastproductivity. We firstly fetch parameters that have good correlation with productivity, including data oflogging and gas logging curves. Then the multivariate is applied to establish a model productivity forecast.Probabilistic neural network is also applied to complete the work about classification forecast ofproductivity. Finally we determine the logging suite for the research area. The actual application shows that the methods in this paper have a high compliance rate with thelogging interpretation. So the research results in this paper have an important evaluation and significantapplication value.

关 键 词： 储层特征 测井解释模型 气层识别 产能预测

分 类 号： [P618.13 P631.81]

领　　域： [天文地球] [天文地球] [天文地球] [天文地球]