三大类储层参数测井评价技术及其应用

Application and Development of Reservoir Quality Evaluation Technology Based on Three Kinds of Logging Parameters

介绍宏尺度、微尺度和渗流三大类储层参数测井评价技术的提出背景,论述三大类参数的定义、测井反演表征方法以及在储层质量分类评价中的应用。微尺度参数的测井反演表征方法能够深入挖掘测井信息的应用广度和深度,提高测井解释产品的丰度和品质。应用NRA岩性识别曲线区分地层岩性,准确剔除非储层;根据关键参数评价目的层的有效性进行质量分类,综合应用测井、岩心分析化验和试油试采等资料,确定目的层有效储层的下限值,根据测井信息及宏观、渗流和微观等参数,连续自动计算储层质量评价指数曲线,定量直观评价储层类别。将该技术应用于深层砂砾岩、致密砂岩复杂储层质量评价中,在探井完井方案、测试选层、储量计算方法研究等方面均取得了较好的效果。对储层质量评价技术的发展趋势进行了展望。

Abstract. The technology background of reservoir quality evaluation based on macro-scale, micro-scale and percolation logging parameters is introduced firstly, and the definition, the inversion technique and the application in reservoir quality evaluation of the three kinds of logging parameters are also presented. The inversion technique of micro-scale parameters enriches logging processing and interpretation technology greatly, and improves the abundance and quality of logging interpretation products, because it can excavate the range and depth of logging information deeply. NRA lithology identification curves are used to discriminate the formation lithology and precisely remove the non-reservoirs. The key parameters are used to evaluated effectiveness of the intervals of interest so as to make quality classification. Log data, core analysis data and oil-testing data are used to determine the lower limit of effective reservoir in the intervals. The above three kinds of parameters are used to continously and automatically calculate reservoir quality evaluation index curves for quantitative and visual reservoir types evaluation. This technology is applied in the reservoir quality evaluation of deep glutenite and tight sand complex reservoirs, and better application results are obtained in completion program for exploration wells, testing and selection of formation and calculation method research of oil reserve. In addition, the development trend of reservoir quality evaluation technology is also analyzed and presented.