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近几年来,随着录井技术的长足进步,为水淹层评价提供了新的技术手段,其目的是进一步精确地描述油层水淹程度,降低采油成本提高采油量及其采收率;地化录井技术作为水淹层评价的重要依据,现阶段还未实现录井水淹层智能评价方法,因此提出基于支持向量机的录井水淹层评价方法。研究支持向量机的分类方法,研究地化热解和饱和烃气相色谱评价水淹层的理论和方法,利用综合评价图版对分类结果进行验证;通过支持向量机与综合录井技术结合,可以自动识别油层水淹程度,提高水淹层评价的准确性.
In recent years, along with the great progress of mud logging technology, it provides a new technical means for the evaluation of water flooded layer. Its purpose is to further describe the degree of flooding of oil layer and reduce the cost of oil recovery to increase oil recovery and recovery rate. Logging technology is an important basis for water flooded layer evaluation. At present, it has not yet realized the intelligent evaluation method of well water flooded layer. Therefore, the evaluation method of well logging flooded layer based on support vector machine is proposed. The classification methods of support vector machines are studied. The theories and methods of geochemical pyrolysis and saturated hydrocarbon gas chromatographic evaluation of water flooded layer are studied. The classification results are validated by comprehensive evaluation charts. By combining SVM and comprehensive logging technology, Identify the degree of flooding of the reservoir and improve the accuracy of the evaluation of the flooded layer.