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多种工作频率下扫频介电测井预测储量研究

Prediction of Reserves by Swept Frequency Dielectric Logging at Various Working Frequencies
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摘要 传统储量预测方法忽略了实际投入过程中井网条件与初始开发指标,导致预测结果和实际结果有一定的不同。且不能体现增加储量后当前储量变化情况,有很高的滞后性。为此,提出一种新的多种工作频率下扫频介电测井储量预测方法。依据介电测量对底层水含量敏感的特性,采用扫频介电测井技术获取介电常数,和其余测井方法结合在一起计算地层的含水率,实现扫频介电测井。通过指数递减法对油田可采储量进行测算,发现储量主要和初始产油量及递减率有关,给出初始产油量和递减率计算公式,确定二者的主控因素。建立递减率和含水关系式,构造各种油藏种类下初始产油量递减率和储量预测模型,以及不同含油层下初始产油量递减率和储量预测模型。实验结果表明,所提方法预测精度高,具有一定的实际应用性能。 Traditional reserve prediction methods neglect well pattern conditions and initial development indexes in the actual investment process, resulting in a certain difference between the prediction results and the actual results. And it can not reflect the current reserves change after increasing reserves, and has a very high lag. To solve this problem, a new method for predicting the reserves of swept frequency dielectric logging is presented. According to the sensitivity of dielectric measurement to bottom water content, sweep-frequency dielectric logging technology is used to obtain dielectric constant, and other logging methods are combined to calculate formation water content to realize sweep-frequency dielectric logging. The recoverable reserves of the oilfield are measured by the exponential decline method. It is found that the reserves are mainly related to the initial oil production and the decline rate. The formulas for calculating the initial oil production and the decline rate are given, and the main controlling factors of the two are determined. The relationship between decline rate and water cut is established, and the prediction models of initial oil production decline rate and reserves under various reservoir types are constructed, as well as the prediction models of initial oil production decline rate and reserves under different reservoir types. Experimental results show that the proposed method has high prediction accuracy and some practical application performance.
作者 景建坤 柯式镇 李天降 王甜 Jing Jiankun;Ke Shizhen;Li Tianjiang;Wang Tian(College of Geophysics and Information Engineering,China University of Petroleum,Beijing 102249, China;Yan'an Shuangfeng Petroleum Technology Co., Ltd.,Yan'an 716000,China;State Key Laboratory of Petroleum Resources and Prospecting,China University of Petroleum, Beijing 102249,China)
出处 《科技通报》 2019年第5期154-158,共5页 Bulletin of Science and Technology
关键词 多种工作频率 扫频介电测井 预测 储量 multiple working frequencies swept frequency dielectric logging prediction reserves
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